# best-of-ml-python **Repository Path**: blake2002/best-of-ml-python ## Basic Information - **Project Name**: best-of-ml-python - **Description**: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. - **Primary Language**: Unknown - **License**: CC-BY-SA-4.0 - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2021-01-31 - **Last Updated**: 2021-01-31 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README

Best-of Machine Learning with Python

🏆  A ranked list of awesome machine learning Python libraries. Updated weekly.

This curated list contains 840 awesome open-source projects with a total of 2.7M stars grouped into 32 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an [issue](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose), submit a [pull request](https://github.com/ml-tooling/best-of-ml-python/pulls), or directly edit the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml). Contributions are very welcome! ---

🧙‍♂️  Discover other best-of lists or create your own.
📫  Subscribe to our newsletter for updates and trending projects.

--- ## Contents - [Machine Learning Frameworks](#machine-learning-frameworks) _53 projects_ - [Data Visualization](#data-visualization) _47 projects_ - [Text Data & NLP](#text-data--nlp) _83 projects_ - [Image Data](#image-data) _49 projects_ - [Graph Data](#graph-data) _29 projects_ - [Audio Data](#audio-data) _23 projects_ - [Geospatial Data](#geospatial-data) _22 projects_ - [Financial Data](#financial-data) _23 projects_ - [Time Series Data](#time-series-data) _20 projects_ - [Medical Data](#medical-data) _19 projects_ - [Optical Character Recognition](#optical-character-recognition) _10 projects_ - [Data Containers & Structures](#data-containers--structures) _28 projects_ - [Data Loading & Extraction](#data-loading--extraction) _23 projects_ - [Web Scraping & Crawling](#web-scraping--crawling) _1 projects_ - [Data Pipelines & Streaming](#data-pipelines--streaming) _34 projects_ - [Distributed Machine Learning](#distributed-machine-learning) _26 projects_ - [Hyperparameter Optimization & AutoML](#hyperparameter-optimization--automl) _45 projects_ - [Reinforcement Learning](#reinforcement-learning) _19 projects_ - [Recommender Systems](#recommender-systems) _14 projects_ - [Privacy Machine Learning](#privacy-machine-learning) _6 projects_ - [Workflow & Experiment Tracking](#workflow--experiment-tracking) _36 projects_ - [Model Serialization & Conversion](#model-serialization--conversion) _11 projects_ - [Model Interpretability](#model-interpretability) _44 projects_ - [Vector Similarity Search (ANN)](#vector-similarity-search-ann) _12 projects_ - [Probabilistics & Statistics](#probabilistics--statistics) _21 projects_ - [Adversarial Robustness](#adversarial-robustness) _8 projects_ - [GPU Utilities](#gpu-utilities) _18 projects_ - [Tensorflow Utilities](#tensorflow-utilities) _13 projects_ - [Sklearn Utilities](#sklearn-utilities) _17 projects_ - [Pytorch Utilities](#pytorch-utilities) _27 projects_ - [Database Clients](#database-clients) _1 projects_ - [Others](#others) _52 projects_ ## Explanation - 🥇🥈🥉  Combined project-quality score - ⭐️  Star count from GitHub - 🐣  New project _(less than 6 months old)_ - 💤  Inactive project _(6 months no activity)_ - 💀  Dead project _(12 months no activity)_ - 📈📉  Project is trending up or down - ➕  Project was recently added - ❗️  Warning _(e.g. missing/risky license)_ - 👨‍💻  Contributors count from GitHub - 🔀  Fork count from GitHub - 📋  Issue count from GitHub - ⏱️  Last update timestamp on package manager - 📥  Download count from package manager - 📦  Number of dependent projects -   Tensorflow related project -   Sklearn related project -   PyTorch related project -   MxNet related project -   Apache Spark related project -   Jupyter related project -   PaddlePaddle related project -   Pandas related project
## Machine Learning Frameworks Back to top _General-purpose machine learning and deep learning frameworks._
Tensorflow (🥇44 · ⭐ 150K) - An Open Source Machine Learning Framework for Everyone. Apache-2 - [GitHub](https://github.com/tensorflow/tensorflow) (👨‍💻 3.5K · 🔀 84K · 📦 120K · 📋 30K - 14% open · ⏱️ 21.01.2021): ``` git clone https://github.com/tensorflow/tensorflow ``` - [PyPi](https://pypi.org/project/tensorflow) (📥 4.6M / month · 📦 23K · ⏱️ 14.12.2020): ``` pip install tensorflow ``` - [Conda](https://anaconda.org/conda-forge/tensorflow) (📥 2.3M · ⏱️ 15.07.2020): ``` conda install -c conda-forge tensorflow ``` - [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (📥 47M · ⭐ 1.8K · ⏱️ 21.01.2021): ``` docker pull tensorflow/tensorflow ```
scikit-learn (🥇41 · ⭐ 44K) - scikit-learn: machine learning in Python. BSD-3 - [GitHub](https://github.com/scikit-learn/scikit-learn) (👨‍💻 2.1K · 🔀 21K · 📥 640 · 📦 180K · 📋 9K - 25% open · ⏱️ 20.01.2021): ``` git clone https://github.com/scikit-learn/scikit-learn ``` - [PyPi](https://pypi.org/project/scikit-learn) (📥 9.4M / month · 📦 38K · ⏱️ 19.01.2021): ``` pip install scikit-learn ``` - [Conda](https://anaconda.org/conda-forge/scikit-learn) (📥 6.4M · ⏱️ 19.01.2021): ``` conda install -c conda-forge scikit-learn ```
PyTorch (🥇39 · ⭐ 46K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 - [GitHub](https://github.com/pytorch/pytorch) (👨‍💻 2.5K · 🔀 12K · 📦 59K · 📋 20K - 35% open · ⏱️ 21.01.2021): ``` git clone https://github.com/pytorch/pytorch ``` - [PyPi](https://pypi.org/project/torch) (📥 1.5M / month · 📦 6.7K · ⏱️ 10.12.2020): ``` pip install torch ``` - [Conda](https://anaconda.org/pytorch/pytorch) (📥 9.8M · ⏱️ 10.12.2020): ``` conda install -c pytorch pytorch ```
PySpark (🥇38 · ⭐ 29K) - Apache Spark Python API. Apache-2 - [GitHub](https://github.com/apache/spark) (👨‍💻 2.4K · 🔀 23K · 📦 550 · ⏱️ 21.01.2021): ``` git clone https://github.com/apache/spark ``` - [PyPi](https://pypi.org/project/pyspark) (📥 6.3M / month · 📦 760 · ⏱️ 07.09.2020): ``` pip install pyspark ``` - [Conda](https://anaconda.org/conda-forge/pyspark) (📥 870K · ⏱️ 07.09.2020): ``` conda install -c conda-forge pyspark ```
StatsModels (🥇36 · ⭐ 5.9K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 - [GitHub](https://github.com/statsmodels/statsmodels) (👨‍💻 300 · 🔀 2.1K · 📥 25 · 📦 36K · 📋 4.3K - 47% open · ⏱️ 20.01.2021): ``` git clone https://github.com/statsmodels/statsmodels ``` - [PyPi](https://pypi.org/project/statsmodels) (📥 1.8M / month · 📦 6.7K · ⏱️ 29.10.2020): ``` pip install statsmodels ``` - [Conda](https://anaconda.org/conda-forge/statsmodels) (📥 3.2M · ⏱️ 12.01.2021): ``` conda install -c conda-forge statsmodels ```
Keras (🥇35 · ⭐ 51K) - Deep Learning for humans. MIT - [GitHub](https://github.com/keras-team/keras) (👨‍💻 900 · 🔀 19K · 📋 10K - 30% open · ⏱️ 20.01.2021): ``` git clone https://github.com/keras-team/keras ``` - [PyPi](https://pypi.org/project/keras) (📥 1.6M / month · 📦 15K · ⏱️ 24.06.2020): ``` pip install keras ``` - [Conda](https://anaconda.org/conda-forge/keras) (📥 1.4M · ⏱️ 25.06.2020): ``` conda install -c conda-forge keras ```
XGBoost (🥇35 · ⭐ 20K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2 - [GitHub](https://github.com/dmlc/xgboost) (👨‍💻 500 · 🔀 7.9K · 📥 1.9K · 📦 13K · 📋 3.9K - 6% open · ⏱️ 21.01.2021): ``` git clone https://github.com/dmlc/xgboost ``` - [PyPi](https://pypi.org/project/xgboost) (📥 2.3M / month · 📦 1.6K · ⏱️ 20.01.2021): ``` pip install xgboost ``` - [Conda](https://anaconda.org/conda-forge/xgboost) (📥 1.3M · ⏱️ 10.12.2020): ``` conda install -c conda-forge xgboost ```
LightGBM (🥇35 · ⭐ 12K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT - [GitHub](https://github.com/microsoft/LightGBM) (👨‍💻 200 · 🔀 3.2K · 📥 87K · 📦 5.3K · 📋 2.1K - 4% open · ⏱️ 21.01.2021): ``` git clone https://github.com/microsoft/LightGBM ``` - [PyPi](https://pypi.org/project/lightgbm) (📥 1.3M / month · 📦 560 · ⏱️ 08.12.2020): ``` pip install lightgbm ``` - [Conda](https://anaconda.org/conda-forge/lightgbm) (📥 470K · ⏱️ 15.01.2021): ``` conda install -c conda-forge lightgbm ```
MXNet (🥈34 · ⭐ 19K) - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning.. Apache-2 - [GitHub](https://github.com/apache/incubator-mxnet) (👨‍💻 950 · 🔀 6.8K · 📥 23K · 📦 1.7K · 📋 9.4K - 19% open · ⏱️ 20.01.2021): ``` git clone https://github.com/apache/incubator-mxnet ``` - [PyPi](https://pypi.org/project/mxnet) (📥 140K / month · 📦 440 · ⏱️ 28.08.2020): ``` pip install mxnet ``` - [Conda](https://anaconda.org/anaconda/mxnet) (📥 5.7K · ⏱️ 29.02.2020): ``` conda install -c anaconda mxnet ```
Theano (🥈34 · ⭐ 9.3K) - Theano is a Python library that allows you to define, optimize, and.. BSD-3 - [GitHub](https://github.com/Theano/Theano) (👨‍💻 380 · 🔀 2.5K · 📦 10K · 📋 2.8K - 24% open · ⏱️ 05.09.2020): ``` git clone https://github.com/Theano/Theano ``` - [PyPi](https://pypi.org/project/theano) (📥 180K / month · 📦 5.5K · ⏱️ 27.07.2020): ``` pip install theano ``` - [Conda](https://anaconda.org/conda-forge/theano) (📥 1.3M · ⏱️ 01.11.2020): ``` conda install -c conda-forge theano ```
PyFlink (🥈33 · ⭐ 15K · ➕) - Apache Flink Python API. Apache-2 - [GitHub](https://github.com/apache/flink) (👨‍💻 1.2K · 🔀 8.3K · 📦 240 · ⏱️ 21.01.2021): ``` git clone https://github.com/apache/flink ``` - [PyPi](https://pypi.org/project/apache-flink) (📥 2.5K / month · ⏱️ 15.01.2021): ``` pip install apache-flink ```
pytorch-lightning (🥈33 · ⭐ 12K) - The lightweight PyTorch wrapper for high-performance.. Apache-2 - [GitHub](https://github.com/PyTorchLightning/pytorch-lightning) (👨‍💻 370 · 🔀 1.3K · 📥 39 · 📦 1.7K · 📋 2.8K - 11% open · ⏱️ 21.01.2021): ``` git clone https://github.com/PyTorchLightning/pytorch-lightning ``` - [PyPi](https://pypi.org/project/pytorch-lightning) (📥 91K / month · 📦 14 · ⏱️ 12.01.2021): ``` pip install pytorch-lightning ``` - [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (📥 15K · ⏱️ 12.01.2021): ``` conda install -c conda-forge pytorch-lightning ```
Fastai (🥈32 · ⭐ 20K) - The fastai deep learning library. Apache-2 - [GitHub](https://github.com/fastai/fastai) (👨‍💻 470 · 🔀 6.9K · 📋 1.4K - 4% open · ⏱️ 20.01.2021): ``` git clone https://github.com/fastai/fastai ``` - [PyPi](https://pypi.org/project/fastai) (📥 130K / month · 📦 370 · ⏱️ 13.01.2021): ``` pip install fastai ```
jax (🥈32 · ⭐ 11K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 - [GitHub](https://github.com/google/jax) (👨‍💻 240 · 🔀 950 · 📦 1K · 📋 2.1K - 34% open · ⏱️ 21.01.2021): ``` git clone https://github.com/google/jax ``` - [PyPi](https://pypi.org/project/jax) (📥 64K / month · 📦 46 · ⏱️ 12.01.2021): ``` pip install jax ``` - [Conda](https://anaconda.org/conda-forge/jaxlib) (📥 69K · ⏱️ 18.01.2021): ``` conda install -c conda-forge jaxlib ```
Thinc (🥈32 · ⭐ 2.2K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT - [GitHub](https://github.com/explosion/thinc) (👨‍💻 36 · 🔀 200 · 📦 11K · 📋 100 - 16% open · ⏱️ 21.01.2021): ``` git clone https://github.com/explosion/thinc ``` - [PyPi](https://pypi.org/project/thinc) (📥 770K / month · 📦 1.1K · ⏱️ 21.01.2021): ``` pip install thinc ``` - [Conda](https://anaconda.org/conda-forge/thinc) (📥 850K · ⏱️ 18.12.2020): ``` conda install -c conda-forge thinc ```
Catboost (🥈31 · ⭐ 5.6K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2 - [GitHub](https://github.com/catboost/catboost) (👨‍💻 730 · 🔀 860 · 📥 48K · 📋 1.3K - 22% open · ⏱️ 21.01.2021): ``` git clone https://github.com/catboost/catboost ``` - [PyPi](https://pypi.org/project/catboost) (📥 660K / month · 📦 160 · ⏱️ 27.12.2020): ``` pip install catboost ``` - [Conda](https://anaconda.org/conda-forge/catboost) (📥 550K · ⏱️ 29.12.2020): ``` conda install -c conda-forge catboost ```
Chainer (🥈31 · ⭐ 5.5K) - A flexible framework of neural networks for deep learning. MIT - [GitHub](https://github.com/chainer/chainer) (👨‍💻 320 · 🔀 1.4K · 📦 1.8K · 📋 2K - 0% open · ⏱️ 23.12.2020): ``` git clone https://github.com/chainer/chainer ``` - [PyPi](https://pypi.org/project/chainer) (📥 17K / month · 📦 740 · ⏱️ 13.01.2021): ``` pip install chainer ```
TFlearn (🥈30 · ⭐ 9.5K) - Deep learning library featuring a higher-level API for TensorFlow. MIT - [GitHub](https://github.com/tflearn/tflearn) (👨‍💻 130 · 🔀 2.4K · 📦 2.9K · 📋 930 - 61% open · ⏱️ 30.11.2020): ``` git clone https://github.com/tflearn/tflearn ``` - [PyPi](https://pypi.org/project/tflearn) (📥 11K / month · 📦 480 · ⏱️ 11.11.2020): ``` pip install tflearn ```
Vowpal Wabbit (🥈30 · ⭐ 7.4K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3 - [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (👨‍💻 300 · 🔀 1.7K · 📦 94 · 📋 1K - 15% open · ⏱️ 20.01.2021): ``` git clone https://github.com/VowpalWabbit/vowpal_wabbit ``` - [PyPi](https://pypi.org/project/vowpalwabbit) (📥 19K / month · 📦 16 · ⏱️ 12.11.2020): ``` pip install vowpalwabbit ```
PaddlePaddle (🥈29 · ⭐ 14K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/Paddle) (👨‍💻 490 · 🔀 3.4K · 📥 15K · 📦 26 · 📋 13K - 18% open · ⏱️ 21.01.2021): ``` git clone https://github.com/PaddlePaddle/Paddle ``` - [PyPi](https://pypi.org/project/paddlepaddle) (📥 5.6K / month · 📦 16 · ⏱️ 14.12.2020): ``` pip install paddlepaddle ```
Turi Create (🥈29 · ⭐ 10K) - Turi Create simplifies the development of custom machine learning.. BSD-3 - [GitHub](https://github.com/apple/turicreate) (👨‍💻 81 · 🔀 1.1K · 📥 3.6K · 📦 220 · 📋 1.7K - 27% open · ⏱️ 13.10.2020): ``` git clone https://github.com/apple/turicreate ``` - [PyPi](https://pypi.org/project/turicreate) (📥 12K / month · 📦 34 · ⏱️ 30.09.2020): ``` pip install turicreate ```
tensorpack (🥈29 · ⭐ 5.9K) - A Neural Net Training Interface on TensorFlow, with focus.. Apache-2 - [GitHub](https://github.com/tensorpack/tensorpack) (👨‍💻 55 · 🔀 1.7K · 📥 100 · 📦 670 · 📋 1.3K - 0% open · ⏱️ 16.01.2021): ``` git clone https://github.com/tensorpack/tensorpack ``` - [PyPi](https://pypi.org/project/tensorpack) (📥 92K / month · 📦 76 · ⏱️ 24.04.2020): ``` pip install tensorpack ```
Sonnet (🥉28 · ⭐ 8.7K) - TensorFlow-based neural network library. Apache-2 - [GitHub](https://github.com/deepmind/sonnet) (👨‍💻 48 · 🔀 1.3K · 📦 480 · 📋 150 - 11% open · ⏱️ 08.10.2020): ``` git clone https://github.com/deepmind/sonnet ``` - [PyPi](https://pypi.org/project/dm-sonnet) (📥 47K / month · 📦 82 · ⏱️ 27.03.2020): ``` pip install dm-sonnet ``` - [Conda](https://anaconda.org/conda-forge/sonnet) (📥 6.9K · ⏱️ 14.11.2020): ``` conda install -c conda-forge sonnet ```
dyNET (🥉28 · ⭐ 3.2K · 📈) - DyNet: The Dynamic Neural Network Toolkit. Apache-2 - [GitHub](https://github.com/clab/dynet) (👨‍💻 160 · 🔀 690 · 📥 1.5K · 📦 160 · 📋 920 - 27% open · ⏱️ 17.01.2021): ``` git clone https://github.com/clab/dynet ``` - [PyPi](https://pypi.org/project/dyNET) (📥 4.5K / month · 📦 38 · ⏱️ 21.10.2020): ``` pip install dyNET ```
CNTK (🥉27 · ⭐ 17K · 💤) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT - [GitHub](https://github.com/microsoft/CNTK) (👨‍💻 260 · 🔀 4.4K · 📥 14K · 📋 3.3K - 24% open · ⏱️ 31.03.2020): ``` git clone https://github.com/microsoft/CNTK ``` - [PyPi](https://pypi.org/project/cntk) (📥 1.1K / month · 📦 17 · ⏱️ 09.12.2020): ``` pip install cntk ```
skorch (🥉27 · ⭐ 3.7K) - A scikit-learn compatible neural network library that wraps.. BSD-3 - [GitHub](https://github.com/skorch-dev/skorch) (👨‍💻 39 · 🔀 270 · 📦 260 · 📋 360 - 13% open · ⏱️ 25.12.2020): ``` git clone https://github.com/skorch-dev/skorch ``` - [PyPi](https://pypi.org/project/skorch) (📥 5.7K / month · 📦 13 · ⏱️ 30.08.2020): ``` pip install skorch ``` - [Conda](https://anaconda.org/conda-forge/skorch) (📥 160K · ⏱️ 19.09.2020): ``` conda install -c conda-forge skorch ```
Ignite (🥉27 · ⭐ 3.2K) - High-level library to help with training and evaluating neural.. BSD-3 - [GitHub](https://github.com/pytorch/ignite) (👨‍💻 120 · 🔀 400 · 📦 700 · 📋 700 - 14% open · ⏱️ 20.01.2021): ``` git clone https://github.com/pytorch/ignite ``` - [PyPi](https://pypi.org/project/pytorch-ignite) (📥 35K / month · 📦 62 · ⏱️ 19.01.2021): ``` pip install pytorch-ignite ``` - [Conda](https://anaconda.org/pytorch/ignite) (📥 52K · ⏱️ 20.09.2020): ``` conda install -c pytorch ignite ```
Flax (🥉27 · ⭐ 1.4K) - Flax is a neural network ecosystem for JAX that is designed for.. Apache-2 jax - [GitHub](https://github.com/google/flax) (👨‍💻 70 · 🔀 160 · 📥 20 · 📦 89 · 📋 290 - 56% open · ⏱️ 21.01.2021): ``` git clone https://github.com/google/flax ``` - [PyPi](https://pypi.org/project/flax) (📥 48K / month · 📦 6 · ⏱️ 08.12.2020): ``` pip install flax ```
mlpack (🥉26 · ⭐ 3.5K) - mlpack: a scalable C++ machine learning library --. BSD-3 - [GitHub](https://github.com/mlpack/mlpack) (👨‍💻 260 · 🔀 1.3K · 📋 1.3K - 11% open · ⏱️ 18.01.2021): ``` git clone https://github.com/mlpack/mlpack ``` - [PyPi](https://pypi.org/project/mlpack) (📥 170 / month · ⏱️ 28.10.2020): ``` pip install mlpack ``` - [Conda](https://anaconda.org/conda-forge/mlpack) (📥 63K · ⏱️ 29.10.2020): ``` conda install -c conda-forge mlpack ```
Ludwig (🥉25 · ⭐ 7.5K) - Ludwig is a toolbox that allows to train and evaluate deep.. Apache-2 - [GitHub](https://github.com/ludwig-ai/ludwig) (👨‍💻 86 · 🔀 880 · 📦 75 · 📋 520 - 21% open · ⏱️ 20.01.2021): ``` git clone https://github.com/ludwig-ai/ludwig ``` - [PyPi](https://pypi.org/project/ludwig) (📥 1.1K / month · 📦 12 · ⏱️ 16.11.2020): ``` pip install ludwig ```
Neural Network Libraries (🥉25 · ⭐ 2.4K) - Neural Network Libraries. Apache-2 - [GitHub](https://github.com/sony/nnabla) (👨‍💻 55 · 🔀 300 · 📥 520 · 📋 53 - 66% open · ⏱️ 21.01.2021): ``` git clone https://github.com/sony/nnabla ``` - [PyPi](https://pypi.org/project/nnabla) (📥 2.4K / month · 📦 34 · ⏱️ 24.12.2020): ``` pip install nnabla ```
tensorflow-upstream (🥉25 · ⭐ 530) - TensorFlow ROCm port. Apache-2 - [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (👨‍💻 3.5K · 🔀 64 · 📥 16 · 📋 280 - 19% open · ⏱️ 20.01.2021): ``` git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream ``` - [PyPi](https://pypi.org/project/tensorflow-rocm) (📥 1.6K / month · ⏱️ 22.12.2020): ``` pip install tensorflow-rocm ```
einops (🥉24 · ⭐ 2.2K) - Deep learning operations reinvented (for pytorch, tensorflow, jax and.. MIT - [GitHub](https://github.com/arogozhnikov/einops) (👨‍💻 10 · 🔀 74 · 📦 200 · 📋 62 - 35% open · ⏱️ 09.01.2021): ``` git clone https://github.com/arogozhnikov/einops ``` - [PyPi](https://pypi.org/project/einops) (📥 15K / month · 📦 10 · ⏱️ 08.09.2020): ``` pip install einops ``` - [Conda](https://anaconda.org/conda-forge/einops) (📥 3.5K · ⏱️ 15.10.2020): ``` conda install -c conda-forge einops ```
ktrain (🥉24 · ⭐ 720) - ktrain is a Python library that makes deep learning and AI more.. Apache-2 - [GitHub](https://github.com/amaiya/ktrain) (👨‍💻 12 · 🔀 170 · 📦 110 · 📋 290 - 3% open · ⏱️ 26.12.2020): ``` git clone https://github.com/amaiya/ktrain ``` - [PyPi](https://pypi.org/project/ktrain) (📥 5.2K / month · 📦 1 · ⏱️ 05.12.2020): ``` pip install ktrain ```
xLearn (🥉23 · ⭐ 2.8K · 💤) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2 - [GitHub](https://github.com/aksnzhy/xlearn) (👨‍💻 30 · 🔀 480 · 📥 2.3K · 📦 40 · 📋 280 - 62% open · ⏱️ 03.03.2020): ``` git clone https://github.com/aksnzhy/xlearn ``` - [PyPi](https://pypi.org/project/xlearn) (📥 6.4K / month · 📦 1 · ⏱️ 04.12.2018): ``` pip install xlearn ```
SHOGUN (🥉23 · ⭐ 2.8K) - Unified and efficient Machine Learning. BSD-3 - [GitHub](https://github.com/shogun-toolbox/shogun) (👨‍💻 250 · 🔀 1K · 📋 1.6K - 33% open · ⏱️ 08.12.2020): ``` git clone https://github.com/shogun-toolbox/shogun ``` - [Conda](https://anaconda.org/conda-forge/shogun) (📥 90K · ⏱️ 25.06.2018): ``` conda install -c conda-forge shogun ``` - [Docker Hub](https://hub.docker.com/r/shogun/shogun) (📥 1.4K · ⭐ 1 · ⏱️ 31.01.2019): ``` docker pull shogun/shogun ```
fklearn (🥉22 · ⭐ 1.3K) - fklearn: Functional Machine Learning. Apache-2 - [GitHub](https://github.com/nubank/fklearn) (👨‍💻 35 · 🔀 150 · 📦 9 · 📋 38 - 50% open · ⏱️ 20.11.2020): ``` git clone https://github.com/nubank/fklearn ``` - [PyPi](https://pypi.org/project/fklearn) (📥 4.8K / month · ⏱️ 02.10.2020): ``` pip install fklearn ```
mace (🥉21 · ⭐ 4.3K) - MACE is a deep learning inference framework optimized for mobile.. Apache-2 - [GitHub](https://github.com/XiaoMi/mace) (👨‍💻 54 · 🔀 760 · 📥 1.3K · 📋 620 - 6% open · ⏱️ 10.01.2021): ``` git clone https://github.com/XiaoMi/mace ```
Neural Tangents (🥉21 · ⭐ 1.3K) - Fast and Easy Infinite Neural Networks in Python. Apache-2 - [GitHub](https://github.com/google/neural-tangents) (👨‍💻 16 · 🔀 140 · 📥 100 · 📦 12 · 📋 74 - 33% open · ⏱️ 06.01.2021): ``` git clone https://github.com/google/neural-tangents ``` - [PyPi](https://pypi.org/project/neural-tangents) (📥 510 / month · ⏱️ 18.11.2020): ``` pip install neural-tangents ```
ThunderSVM (🥉20 · ⭐ 1.3K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2 - [GitHub](https://github.com/Xtra-Computing/thundersvm) (👨‍💻 33 · 🔀 160 · 📥 2.1K · 📋 190 - 22% open · ⏱️ 14.12.2020): ``` git clone https://github.com/Xtra-Computing/thundersvm ``` - [PyPi](https://pypi.org/project/thundersvm) (📥 370 / month · ⏱️ 13.03.2020): ``` pip install thundersvm ```
Haiku (🥉20 · ⭐ 910) - JAX-based neural network library. Apache-2 - [GitHub](https://github.com/deepmind/dm-haiku) (👨‍💻 34 · 🔀 63 · 📦 57 · 📋 66 - 27% open · ⏱️ 16.01.2021): ``` git clone https://github.com/deepmind/dm-haiku ```
Torchbearer (🥉18 · ⭐ 580 · 💤) - torchbearer: A model fitting library for PyTorch. MIT - [GitHub](https://github.com/pytorchbearer/torchbearer) (👨‍💻 13 · 🔀 62 · 📦 37 · 📋 240 - 3% open · ⏱️ 17.02.2020): ``` git clone https://github.com/pytorchbearer/torchbearer ``` - [PyPi](https://pypi.org/project/torchbearer) (📥 180 / month · 📦 3 · ⏱️ 31.01.2020): ``` pip install torchbearer ```
Objax (🥉18 · ⭐ 550 · 🐣) - Objax is a machine learning framework that provides an Object.. Apache-2 jax - [GitHub](https://github.com/google/objax) (👨‍💻 19 · 🔀 42 · 📦 5 · 📋 79 - 39% open · ⏱️ 20.01.2021): ``` git clone https://github.com/google/objax ``` - [PyPi](https://pypi.org/project/objax) (📥 200 / month · ⏱️ 02.11.2020): ``` pip install objax ```
elegy (🥉17 · ⭐ 150) - Elegy is a Neural Networks framework based on Jax and inspired.. Apache-2 jax - [GitHub](https://github.com/poets-ai/elegy) (👨‍💻 12 · 🔀 10 · 📋 49 - 30% open · ⏱️ 19.01.2021): ``` git clone https://github.com/poets-ai/elegy ``` - [PyPi](https://pypi.org/project/elegy) (📥 190 / month · ⏱️ 17.12.2020): ``` pip install elegy ```
ThunderGBM (🥉16 · ⭐ 580) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2 - [GitHub](https://github.com/Xtra-Computing/thundergbm) (👨‍💻 10 · 🔀 71 · 📋 46 - 43% open · ⏱️ 05.01.2021): ``` git clone https://github.com/Xtra-Computing/thundergbm ``` - [PyPi](https://pypi.org/project/thundergbm) (📥 99 / month · ⏱️ 01.05.2020): ``` pip install thundergbm ```
NeoML (🥉13 · ⭐ 560) - Machine learning framework for both deep learning and traditional.. Apache-2 - [GitHub](https://github.com/neoml-lib/neoml) (👨‍💻 16 · 🔀 79 · 📋 29 - 55% open · ⏱️ 19.01.2021): ``` git clone https://github.com/neoml-lib/neoml ```
Show 7 hidden projects... - dlib (🥈33 · ⭐ 9.8K) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0 - NuPIC (🥉25 · ⭐ 6.2K · 💀) - Numenta Platform for Intelligent Computing is an implementation.. ❗️AGPL-3.0 - Lasagne (🥉24 · ⭐ 3.8K · 💀) - Lightweight library to build and train neural networks in Theano. MIT - neon (🥉22 · ⭐ 3.9K · 💀) - Intel Nervana reference deep learning framework committed to best.. Apache-2 - MindsDB (🥉20 · ⭐ 3.2K) - Predictive AI layer for existing databases. ❗️GPL-3.0 - NeuPy (🥉20 · ⭐ 660 · 💀) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT - StarSpace (🥉13 · ⭐ 3.5K · 💀) - Learning embeddings for classification, retrieval and ranking. MIT

## Data Visualization Back to top _General-purpose and task-specific data visualization libraries._
Matplotlib (🥇41 · ⭐ 13K) - matplotlib: plotting with Python. Python-2.0 - [GitHub](https://github.com/matplotlib/matplotlib) (👨‍💻 1.2K · 🔀 5.6K · 📦 320K · 📋 7.6K - 21% open · ⏱️ 21.01.2021): ``` git clone https://github.com/matplotlib/matplotlib ``` - [PyPi](https://pypi.org/project/matplotlib) (📥 8.4M / month · 📦 79K · ⏱️ 12.11.2020): ``` pip install matplotlib ``` - [Conda](https://anaconda.org/conda-forge/matplotlib) (📥 7.8M · ⏱️ 14.01.2021): ``` conda install -c conda-forge matplotlib ```
Plotly (🥇35 · ⭐ 8.7K) - The interactive graphing library for Python (includes Plotly Express). MIT - [GitHub](https://github.com/plotly/plotly.py) (👨‍💻 160 · 🔀 1.7K · 📦 5 · 📋 1.8K - 42% open · ⏱️ 14.01.2021): ``` git clone https://github.com/plotly/plotly.py ``` - [PyPi](https://pypi.org/project/plotly) (📥 2.4M / month · 📦 5K · ⏱️ 12.01.2021): ``` pip install plotly ``` - [Conda](https://anaconda.org/conda-forge/plotly) (📥 1.2M · ⏱️ 12.01.2021): ``` conda install -c conda-forge plotly ``` - [NPM](https://www.npmjs.com/package/plotlywidget) (📥 95K / month · 📦 4 · ⏱️ 12.01.2021): ``` npm install plotlywidget ```
Seaborn (🥇35 · ⭐ 8K) - Statistical data visualization using matplotlib. BSD-3 - [GitHub](https://github.com/mwaskom/seaborn) (👨‍💻 150 · 🔀 1.4K · 📥 120 · 📦 78K · 📋 1.8K - 4% open · ⏱️ 19.01.2021): ``` git clone https://github.com/mwaskom/seaborn ``` - [PyPi](https://pypi.org/project/seaborn) (📥 1.6M / month · 📦 13K · ⏱️ 20.12.2020): ``` pip install seaborn ``` - [Conda](https://anaconda.org/conda-forge/seaborn) (📥 1.9M · ⏱️ 21.12.2020): ``` conda install -c conda-forge seaborn ```
dash (🥇34 · ⭐ 14K) - Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required. MIT - [GitHub](https://github.com/plotly/dash) (👨‍💻 72 · 🔀 1.4K · 📦 17K · 📋 960 - 41% open · ⏱️ 20.01.2021): ``` git clone https://github.com/plotly/dash ``` - [PyPi](https://pypi.org/project/dash) (📥 210K / month · 📦 1.6K · ⏱️ 19.01.2021): ``` pip install dash ``` - [Conda](https://anaconda.org/conda-forge/dash) (📥 210K · ⏱️ 11.12.2020): ``` conda install -c conda-forge dash ```
Bokeh (🥇33 · ⭐ 15K) - Interactive Data Visualization in the browser, from Python. BSD-3 - [GitHub](https://github.com/bokeh/bokeh) (👨‍💻 550 · 🔀 3.6K · 📦 30K · 📋 6.3K - 9% open · ⏱️ 21.01.2021): ``` git clone https://github.com/bokeh/bokeh ``` - [PyPi](https://pypi.org/project/bokeh) (📥 980K / month · 📦 5.9K · ⏱️ 19.01.2021): ``` pip install bokeh ``` - [Conda](https://anaconda.org/conda-forge/bokeh) (📥 3.6M · ⏱️ 13.01.2021): ``` conda install -c conda-forge bokeh ```
pyecharts (🥈31 · ⭐ 10K) - Python Echarts Plotting Library. MIT - [GitHub](https://github.com/pyecharts/pyecharts) (👨‍💻 30 · 🔀 2.3K · 📦 1.4K · 📋 1.4K - 1% open · ⏱️ 19.01.2021): ``` git clone https://github.com/pyecharts/pyecharts ``` - [PyPi](https://pypi.org/project/pyecharts) (📥 28K / month · 📦 280 · ⏱️ 29.10.2020): ``` pip install pyecharts ```
wordcloud (🥈31 · ⭐ 7.8K) - A little word cloud generator in Python. MIT - [GitHub](https://github.com/amueller/word_cloud) (👨‍💻 58 · 🔀 2K · 📦 8.5K · 📋 440 - 22% open · ⏱️ 11.11.2020): ``` git clone https://github.com/amueller/word_cloud ``` - [PyPi](https://pypi.org/project/wordcloud) (📥 210K / month · 📦 1.1K · ⏱️ 11.11.2020): ``` pip install wordcloud ``` - [Conda](https://anaconda.org/conda-forge/wordcloud) (📥 180K · ⏱️ 14.01.2021): ``` conda install -c conda-forge wordcloud ```
Altair (🥈31 · ⭐ 6.4K) - Declarative statistical visualization library for Python. BSD-3 - [GitHub](https://github.com/altair-viz/altair) (👨‍💻 120 · 🔀 570 · 📦 7.4K · 📋 1.5K - 19% open · ⏱️ 12.01.2021): ``` git clone https://github.com/altair-viz/altair ``` - [PyPi](https://pypi.org/project/altair) (📥 610K / month · 📦 370 · ⏱️ 01.04.2020): ``` pip install altair ``` - [Conda](https://anaconda.org/conda-forge/altair) (📥 580K · ⏱️ 01.04.2020): ``` conda install -c conda-forge altair ```
bqplot (🥈30 · ⭐ 3K) - Plotting library for IPython/Jupyter notebooks. Apache-2 - [GitHub](https://github.com/bqplot/bqplot) (👨‍💻 51 · 🔀 400 · 📦 1.2K · 📋 500 - 37% open · ⏱️ 14.01.2021): ``` git clone https://github.com/bqplot/bqplot ``` - [PyPi](https://pypi.org/project/bqplot) (📥 11K / month · 📦 110 · ⏱️ 14.01.2021): ``` pip install bqplot ``` - [Conda](https://anaconda.org/conda-forge/bqplot) (📥 460K · ⏱️ 14.01.2021): ``` conda install -c conda-forge bqplot ``` - [NPM](https://www.npmjs.com/package/bqplot) (📥 120K / month · 📦 10 · ⏱️ 14.01.2021): ``` npm install bqplot ```
pandas-profiling (🥈29 · ⭐ 6.6K) - Create HTML profiling reports from pandas DataFrame.. MIT - [GitHub](https://github.com/pandas-profiling/pandas-profiling) (👨‍💻 65 · 🔀 980 · 📦 2.9K · 📋 410 - 14% open · ⏱️ 12.01.2021): ``` git clone https://github.com/pandas-profiling/pandas-profiling ``` - [PyPi](https://pypi.org/project/pandas-profiling) (📥 180K / month · 📦 160 · ⏱️ 03.09.2020): ``` pip install pandas-profiling ``` - [Conda](https://anaconda.org/conda-forge/pandas-profiling) (📥 98K · ⏱️ 09.01.2021): ``` conda install -c conda-forge pandas-profiling ```
UMAP (🥈29 · ⭐ 4.4K) - Uniform Manifold Approximation and Projection. BSD-3 - [GitHub](https://github.com/lmcinnes/umap) (👨‍💻 69 · 🔀 480 · 📋 420 - 48% open · ⏱️ 11.01.2021): ``` git clone https://github.com/lmcinnes/umap ``` - [PyPi](https://pypi.org/project/umap-learn) (📥 120K / month · 📦 230 · ⏱️ 11.01.2021): ``` pip install umap-learn ```
PyQtGraph (🥈29 · ⭐ 2.3K) - Fast data visualization and GUI tools for scientific / engineering.. MIT - [GitHub](https://github.com/pyqtgraph/pyqtgraph) (👨‍💻 180 · 🔀 810 · 📋 720 - 39% open · ⏱️ 20.01.2021): ``` git clone https://github.com/pyqtgraph/pyqtgraph ``` - [PyPi](https://pypi.org/project/pyqtgraph) (📥 24K / month · 📦 890 · ⏱️ 20.12.2020): ``` pip install pyqtgraph ``` - [Conda](https://anaconda.org/conda-forge/pyqtgraph) (📥 160K · ⏱️ 20.12.2020): ``` conda install -c conda-forge pyqtgraph ```
HoloViews (🥈29 · ⭐ 1.8K) - With Holoviews, your data visualizes itself. BSD-3 - [GitHub](https://github.com/holoviz/holoviews) (👨‍💻 100 · 🔀 300 · 📋 2.5K - 27% open · ⏱️ 20.01.2021): ``` git clone https://github.com/holoviz/holoviews ``` - [PyPi](https://pypi.org/project/holoviews) (📥 73K / month · 📦 170 · ⏱️ 27.12.2020): ``` pip install holoviews ``` - [Conda](https://anaconda.org/conda-forge/holoviews) (📥 400K · ⏱️ 28.12.2020): ``` conda install -c conda-forge holoviews ``` - [NPM](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (📥 6.7K / month · ⏱️ 24.05.2020): ``` npm install @pyviz/jupyterlab_pyviz ```
Graphviz (🥈29 · ⭐ 900) - Simple Python interface for Graphviz. MIT - [GitHub](https://github.com/xflr6/graphviz) (👨‍💻 16 · 🔀 140 · 📦 17K · 📋 100 - 4% open · ⏱️ 18.01.2021): ``` git clone https://github.com/xflr6/graphviz ``` - [PyPi](https://pypi.org/project/graphviz) (📥 2.3M / month · 📦 4.4K · ⏱️ 24.12.2020): ``` pip install graphviz ```
VisPy (🥈28 · ⭐ 2.6K) - High-performance interactive 2D/3D data visualization library. BSD-3 - [GitHub](https://github.com/vispy/vispy) (👨‍💻 140 · 🔀 540 · 📦 440 · 📋 1.1K - 31% open · ⏱️ 18.01.2021): ``` git clone https://github.com/vispy/vispy ``` - [PyPi](https://pypi.org/project/vispy) (📥 13K / month · 📦 120 · ⏱️ 28.11.2020): ``` pip install vispy ``` - [Conda](https://anaconda.org/conda-forge/vispy) (📥 120K · ⏱️ 13.01.2021): ``` conda install -c conda-forge vispy ``` - [NPM](https://www.npmjs.com/package/vispy) (📥 120 / month · ⏱️ 15.03.2020): ``` npm install vispy ```
datashader (🥈28 · ⭐ 2.4K) - Quickly and accurately render even the largest data. BSD-3 - [GitHub](https://github.com/holoviz/datashader) (👨‍💻 43 · 🔀 310 · 📦 560 · 📋 460 - 31% open · ⏱️ 17.01.2021): ``` git clone https://github.com/holoviz/datashader ``` - [PyPi](https://pypi.org/project/datashader) (📥 9.6K / month · 📦 70 · ⏱️ 07.01.2021): ``` pip install datashader ``` - [Conda](https://anaconda.org/conda-forge/datashader) (📥 130K · ⏱️ 08.01.2021): ``` conda install -c conda-forge datashader ```
missingno (🥈27 · ⭐ 2.6K) - Missing data visualization module for Python. MIT - [GitHub](https://github.com/ResidentMario/missingno) (👨‍💻 15 · 🔀 330 · 📦 2.7K · 📋 100 - 14% open · ⏱️ 28.12.2020): ``` git clone https://github.com/ResidentMario/missingno ``` - [PyPi](https://pypi.org/project/missingno) (📥 150K / month · 📦 76 · ⏱️ 29.06.2018): ``` pip install missingno ``` - [Conda](https://anaconda.org/conda-forge/missingno) (📥 69K · ⏱️ 15.02.2020): ``` conda install -c conda-forge missingno ```
data-validation (🥈27 · ⭐ 500) - Library for exploring and validating machine learning.. Apache-2 - [GitHub](https://github.com/tensorflow/data-validation) (👨‍💻 20 · 🔀 94 · 📥 200 · 📦 220 · 📋 110 - 34% open · ⏱️ 15.01.2021): ``` git clone https://github.com/tensorflow/data-validation ``` - [PyPi](https://pypi.org/project/tensorflow-data-validation) (📥 6M / month · 📦 18 · ⏱️ 17.12.2020): ``` pip install tensorflow-data-validation ```
Perspective (🥉26 · ⭐ 3.1K) - Streaming pivot visualization via WebAssembly. Apache-2 - [GitHub](https://github.com/finos/perspective) (👨‍💻 61 · 🔀 340 · 📦 170 · 📋 370 - 19% open · ⏱️ 19.01.2021): ``` git clone https://github.com/finos/perspective ``` - [PyPi](https://pypi.org/project/perspective-python) (📥 480 / month · 📦 4 · ⏱️ 14.01.2021): ``` pip install perspective-python ``` - [NPM](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (📥 1K / month · ⏱️ 08.01.2021): ``` npm install @finos/perspective-jupyterlab ```
Cufflinks (🥉26 · ⭐ 2.1K) - Productivity Tools for Plotly + Pandas. MIT - [GitHub](https://github.com/santosjorge/cufflinks) (👨‍💻 37 · 🔀 530 · 📦 2.6K · 📋 200 - 40% open · ⏱️ 07.10.2020): ``` git clone https://github.com/santosjorge/cufflinks ``` - [PyPi](https://pypi.org/project/cufflinks) (📥 46K / month · 📦 230 · ⏱️ 01.03.2020): ``` pip install cufflinks ```
PyVista (🥉26 · ⭐ 660) - 3D plotting and mesh analysis through a streamlined interface for the.. MIT - [GitHub](https://github.com/pyvista/pyvista) (👨‍💻 50 · 🔀 130 · 📥 41 · 📦 240 · 📋 380 - 30% open · ⏱️ 20.01.2021): ``` git clone https://github.com/pyvista/pyvista ``` - [PyPi](https://pypi.org/project/pyvista) (📥 7K / month · 📦 26 · ⏱️ 10.12.2020): ``` pip install pyvista ``` - [Conda](https://anaconda.org/conda-forge/pyvista) (📥 55K · ⏱️ 10.12.2020): ``` conda install -c conda-forge pyvista ```
HyperTools (🥉25 · ⭐ 1.6K) - A Python toolbox for gaining geometric insights into high-dimensional.. MIT - [GitHub](https://github.com/ContextLab/hypertools) (👨‍💻 21 · 🔀 150 · 📦 97 · 📋 190 - 36% open · ⏱️ 06.01.2021): ``` git clone https://github.com/ContextLab/hypertools ``` - [PyPi](https://pypi.org/project/hypertools) (📥 180 / month · 📦 9 · ⏱️ 02.10.2020): ``` pip install hypertools ```
hvPlot (🥉25 · ⭐ 340) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3 - [GitHub](https://github.com/holoviz/hvplot) (👨‍💻 22 · 🔀 49 · 📦 440 · 📋 320 - 30% open · ⏱️ 17.01.2021): ``` git clone https://github.com/holoviz/hvplot ``` - [PyPi](https://pypi.org/project/hvplot) (📥 31K / month · 📦 15 · ⏱️ 02.06.2020): ``` pip install hvplot ``` - [Conda](https://anaconda.org/conda-forge/hvplot) (📥 59K · ⏱️ 06.01.2021): ``` conda install -c conda-forge hvplot ```
Chartify (🥉24 · ⭐ 2.8K) - Python library that makes it easy for data scientists to create.. Apache-2 - [GitHub](https://github.com/spotify/chartify) (👨‍💻 19 · 🔀 250 · 📦 52 · 📋 70 - 57% open · ⏱️ 02.11.2020): ``` git clone https://github.com/spotify/chartify ``` - [PyPi](https://pypi.org/project/chartify) (📥 3.9K / month · 📦 5 · ⏱️ 02.11.2020): ``` pip install chartify ``` - [Conda](https://anaconda.org/conda-forge/chartify) (📥 12K · ⏱️ 07.11.2020): ``` conda install -c conda-forge chartify ```
pythreejs (🥉24 · ⭐ 700) - A Jupyter - Three.js bridge. BSD-3 - [GitHub](https://github.com/jupyter-widgets/pythreejs) (👨‍💻 24 · 🔀 160 · 📦 15 · 📋 200 - 30% open · ⏱️ 09.10.2020): ``` git clone https://github.com/jupyter-widgets/pythreejs ``` - [PyPi](https://pypi.org/project/pythreejs) (📥 5.3K / month · 📦 13 · ⏱️ 09.10.2020): ``` pip install pythreejs ``` - [Conda](https://anaconda.org/conda-forge/pythreejs) (📥 260K · ⏱️ 12.10.2020): ``` conda install -c conda-forge pythreejs ``` - [NPM](https://www.npmjs.com/package/jupyter-threejs) (📥 4.6K / month · 📦 8 · ⏱️ 19.03.2020): ``` npm install jupyter-threejs ```
Facets Overview (🥉23 · ⭐ 6.5K) - Visualizations for machine learning datasets. Apache-2 - [GitHub](https://github.com/PAIR-code/facets) (👨‍💻 27 · 🔀 790 · 📦 38 · 📋 150 - 48% open · ⏱️ 27.10.2020): ``` git clone https://github.com/pair-code/facets ``` - [PyPi](https://pypi.org/project/facets-overview) (📥 26K / month · ⏱️ 24.07.2019): ``` pip install facets-overview ```
Multicore-TSNE (🥉23 · ⭐ 1.5K) - Parallel t-SNE implementation with Python and Torch.. BSD-3 - [GitHub](https://github.com/DmitryUlyanov/Multicore-TSNE) (👨‍💻 15 · 🔀 190 · 📦 200 · 📋 53 - 62% open · ⏱️ 19.08.2020): ``` git clone https://github.com/DmitryUlyanov/Multicore-TSNE ``` - [PyPi](https://pypi.org/project/MulticoreTSNE) (📥 2.4K / month · 📦 14 · ⏱️ 08.11.2017): ``` pip install MulticoreTSNE ``` - [Conda](https://anaconda.org/conda-forge/multicore-tsne) (📥 5.9K · ⏱️ 12.11.2018): ``` conda install -c conda-forge multicore-tsne ```
openTSNE (🥉23 · ⭐ 740) - Extensible, parallel implementations of t-SNE. BSD-3 - [GitHub](https://github.com/pavlin-policar/openTSNE) (👨‍💻 10 · 🔀 82 · 📦 170 · 📋 71 - 4% open · ⏱️ 08.01.2021): ``` git clone https://github.com/pavlin-policar/openTSNE ``` - [PyPi](https://pypi.org/project/opentsne) (📥 7.2K / month · 📦 4 · ⏱️ 08.01.2021): ``` pip install opentsne ``` - [Conda](https://anaconda.org/conda-forge/opentsne) (📥 73K · ⏱️ 08.01.2021): ``` conda install -c conda-forge opentsne ```
PandasGUI (🥉22 · ⭐ 2K) - A GUI for Pandas DataFrames. MIT - [GitHub](https://github.com/adamerose/PandasGUI) (👨‍💻 7 · 🔀 110 · 📦 33 · 📋 66 - 21% open · ⏱️ 11.01.2021): ``` git clone https://github.com/adamerose/pandasgui ``` - [PyPi](https://pypi.org/project/pandasgui) (📥 1.7K / month · 📦 1 · ⏱️ 10.11.2020): ``` pip install pandasgui ```
Pandas-Bokeh (🥉22 · ⭐ 600) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT - [GitHub](https://github.com/PatrikHlobil/Pandas-Bokeh) (👨‍💻 11 · 🔀 75 · 📦 120 · 📋 72 - 29% open · ⏱️ 27.11.2020): ``` git clone https://github.com/PatrikHlobil/Pandas-Bokeh ``` - [PyPi](https://pypi.org/project/pandas-bokeh) (📥 5.7K / month · 📦 10 · ⏱️ 27.11.2020): ``` pip install pandas-bokeh ```
python-ternary (🥉22 · ⭐ 380) - Ternary plotting library for python with matplotlib. MIT - [GitHub](https://github.com/marcharper/python-ternary) (👨‍💻 25 · 🔀 110 · 📥 14 · 📦 51 · 📋 100 - 23% open · ⏱️ 05.01.2021): ``` git clone https://github.com/marcharper/python-ternary ``` - [PyPi](https://pypi.org/project/python-ternary) (📥 940 / month · 📦 10 · ⏱️ 10.05.2020): ``` pip install python-ternary ``` - [Conda](https://anaconda.org/conda-forge/python-ternary) (📥 48K · ⏱️ 10.05.2020): ``` conda install -c conda-forge python-ternary ```
vega (🥉22 · ⭐ 290) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3 - [GitHub](https://github.com/vega/ipyvega) (👨‍💻 9 · 🔀 46 · 📋 87 - 9% open · ⏱️ 11.01.2021): ``` git clone https://github.com/vega/ipyvega ``` - [PyPi](https://pypi.org/project/vega) (📥 12K / month · 📦 150 · ⏱️ 15.05.2020): ``` pip install vega ``` - [Conda](https://anaconda.org/conda-forge/vega) (📥 380K · ⏱️ 10.12.2020): ``` conda install -c conda-forge vega ```
joypy (🥉21 · ⭐ 310) - Joyplots in Python with matplotlib & pandas. MIT - [GitHub](https://github.com/sbebo/joypy) (👨‍💻 5 · 🔀 32 · 📦 63 · 📋 38 - 10% open · ⏱️ 28.12.2020): ``` git clone https://github.com/sbebo/joypy ``` - [PyPi](https://pypi.org/project/joypy) (📥 2.4K / month · 📦 6 · ⏱️ 28.12.2020): ``` pip install joypy ``` - [Conda](https://anaconda.org/conda-forge/joypy) (📥 7.8K · ⏱️ 28.12.2020): ``` conda install -c conda-forge joypy ```
HiPlot (🥉19 · ⭐ 1.9K) - HiPlot makes understanding high dimensional data easy. MIT - [GitHub](https://github.com/facebookresearch/hiplot) (👨‍💻 6 · 🔀 89 · 📦 2 · 📋 47 - 12% open · ⏱️ 11.01.2021): ``` git clone https://github.com/facebookresearch/hiplot ``` - [PyPi](https://pypi.org/project/hiplot) (📥 1.8K / month · ⏱️ 23.12.2020): ``` pip install hiplot ``` - [Conda](https://anaconda.org/conda-forge/hiplot) (📥 41K · ⏱️ 23.12.2020): ``` conda install -c conda-forge hiplot ```
Sweetviz (🥉19 · ⭐ 1.2K) - Visualize and compare datasets, target values and associations, with one.. MIT - [GitHub](https://github.com/fbdesignpro/sweetviz) (👨‍💻 6 · 🔀 130 · 📋 64 - 32% open · ⏱️ 10.12.2020): ``` git clone https://github.com/fbdesignpro/sweetviz ``` - [PyPi](https://pypi.org/project/sweetviz) (📥 6.8K / month · ⏱️ 10.12.2020): ``` pip install sweetviz ```
lets-plot (🥉19 · ⭐ 480) - An open-source plotting library for statistical data. MIT - [GitHub](https://github.com/JetBrains/lets-plot) (👨‍💻 14 · 🔀 15 · 📋 110 - 36% open · ⏱️ 21.01.2021): ``` git clone https://github.com/JetBrains/lets-plot ``` - [PyPi](https://pypi.org/project/lets-plot) (📥 4.8K / month · ⏱️ 23.12.2020): ``` pip install lets-plot ```
animatplot (🥉19 · ⭐ 350) - A python package for animating plots build on matplotlib. MIT - [GitHub](https://github.com/t-makaro/animatplot) (👨‍💻 7 · 🔀 33 · 📦 14 · 📋 31 - 51% open · ⏱️ 05.10.2020): ``` git clone https://github.com/t-makaro/animatplot ``` - [PyPi](https://pypi.org/project/animatplot) (📥 120 / month · 📦 1 · ⏱️ 05.10.2020): ``` pip install animatplot ``` - [Conda](https://anaconda.org/conda-forge/animatplot) (📥 5.1K · ⏱️ 06.10.2020): ``` conda install -c conda-forge animatplot ```
AutoViz (🥉19 · ⭐ 290) - Automatically Visualize any dataset, any size with a single line of.. Apache-2 - [GitHub](https://github.com/AutoViML/AutoViz) (👨‍💻 10 · 🔀 54 · 📦 26 · 📋 21 - 23% open · ⏱️ 21.12.2020): ``` git clone https://github.com/AutoViML/AutoViz ``` - [PyPi](https://pypi.org/project/autoviz) (📥 960 / month · ⏱️ 10.12.2020): ``` pip install autoviz ```
PyWaffle (🥉18 · ⭐ 380) - Make Waffle Charts in Python. MIT - [GitHub](https://github.com/gyli/PyWaffle) (👨‍💻 6 · 🔀 61 · 📦 39 · 📋 12 - 16% open · ⏱️ 26.07.2020): ``` git clone https://github.com/gyli/PyWaffle ``` - [PyPi](https://pypi.org/project/pywaffle) (📥 690 / month · ⏱️ 26.07.2020): ``` pip install pywaffle ```
FiftyOne (🥉18 · ⭐ 180) - Visualize, create, and debug image and video datasets.. Apache-2 - [GitHub](https://github.com/voxel51/fiftyone) (👨‍💻 10 · 🔀 15 · 📋 300 - 38% open · ⏱️ 21.01.2021): ``` git clone https://github.com/voxel51/fiftyone ``` - [PyPi](https://pypi.org/project/fiftyone) (📥 340 / month · ⏱️ 16.01.2021): ``` pip install fiftyone ```
nx-altair (🥉13 · ⭐ 160 · 💤) - Draw interactive NetworkX graphs with Altair. MIT - [GitHub](https://github.com/Zsailer/nx_altair) (👨‍💻 3 · 🔀 19 · 📋 8 - 50% open · ⏱️ 02.06.2020): ``` git clone https://github.com/Zsailer/nx_altair ``` - [PyPi](https://pypi.org/project/nx-altair) (📥 140 / month · 📦 2 · ⏱️ 02.06.2020): ``` pip install nx-altair ```
Show 6 hidden projects... - plotnine (🥈28 · ⭐ 2.5K) - A grammar of graphics for Python. ❗️GPL-2.0 - PDPbox (🥉23 · ⭐ 520 · 💀) - python partial dependence plot toolbox. MIT - pivottablejs (🥉19 · ⭐ 420 · 💀) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT - ivis (🥉18 · ⭐ 220) - Dimensionality reduction in very large datasets using Siamese.. ❗️GPL-2.0 - pdvega (🥉16 · ⭐ 340 · 💀) - Interactive plotting for Pandas using Vega-Lite. MIT - nptsne (🥉14 · ⭐ 24) - nptsne is a numpy compatible python binary package that offers a number.. Apache-2

## Text Data & NLP Back to top _Libraries for processing, cleaning, manipulating, and analyzing text data as well as libraries for NLP tasks such as language detection, fuzzy matching, classification, seq2seq learning, conversational AI, keyword extraction, and translation._
spaCy (🥇37 · ⭐ 18K) - Industrial-strength Natural Language Processing (NLP) with Python and Cython. MIT - [GitHub](https://github.com/explosion/spaCy) (👨‍💻 540 · 🔀 3.2K · 📥 2.9K · 📦 21K · 📋 4.3K - 2% open · ⏱️ 21.01.2021): ``` git clone https://github.com/explosion/spaCy ``` - [PyPi](https://pypi.org/project/spacy) (📥 820K / month · 📦 3.1K · ⏱️ 11.12.2020): ``` pip install spacy ``` - [Conda](https://anaconda.org/conda-forge/spacy) (📥 1.4M · ⏱️ 18.12.2020): ``` conda install -c conda-forge spacy ```
transformers (🥇36 · ⭐ 40K) - Transformers: State-of-the-art Natural Language.. Apache-2 - [GitHub](https://github.com/huggingface/transformers) (👨‍💻 760 · 🔀 9.7K · 📥 1.2K · 📦 7.1K · 📋 5.7K - 8% open · ⏱️ 21.01.2021): ``` git clone https://github.com/huggingface/transformers ``` - [PyPi](https://pypi.org/project/transformers) (📥 630K / month · 📦 130 · ⏱️ 21.01.2021): ``` pip install transformers ``` - [Conda](https://anaconda.org/conda-forge/transformers) (📥 16K · ⏱️ 21.01.2021): ``` conda install -c conda-forge transformers ```
nltk (🥇34 · ⭐ 9.6K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2 - [GitHub](https://github.com/nltk/nltk) (👨‍💻 390 · 🔀 2.4K · 📦 87K · 📋 1.5K - 16% open · ⏱️ 02.01.2021): ``` git clone https://github.com/nltk/nltk ``` - [PyPi](https://pypi.org/project/nltk) (📥 4.5M / month · 📦 21K · ⏱️ 12.04.2020): ``` pip install nltk ``` - [Conda](https://anaconda.org/conda-forge/nltk) (📥 620K · ⏱️ 08.08.2019): ``` conda install -c conda-forge nltk ```
Rasa (🥇32 · ⭐ 11K) - Open source machine learning framework to automate text- and voice-.. Apache-2 - [GitHub](https://github.com/RasaHQ/rasa) (👨‍💻 460 · 🔀 3.2K · 📋 4.9K - 11% open · ⏱️ 21.01.2021): ``` git clone https://github.com/RasaHQ/rasa ``` - [PyPi](https://pypi.org/project/rasa) (📥 68K / month · 📦 64 · ⏱️ 12.01.2021): ``` pip install rasa ```
fairseq (🥇31 · ⭐ 11K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT - [GitHub](https://github.com/pytorch/fairseq) (👨‍💻 290 · 🔀 2.8K · 📥 57 · 📦 270 · 📋 2.4K - 25% open · ⏱️ 21.01.2021): ``` git clone https://github.com/pytorch/fairseq ``` - [PyPi](https://pypi.org/project/fairseq) (📥 8.2K / month · 📦 20 · ⏱️ 05.01.2021): ``` pip install fairseq ```
ChatterBot (🥇31 · ⭐ 11K) - ChatterBot is a machine learning, conversational dialog engine for.. BSD-3 - [GitHub](https://github.com/gunthercox/ChatterBot) (👨‍💻 100 · 🔀 3.7K · 📦 3.1K · 📋 1.4K - 15% open · ⏱️ 20.08.2020): ``` git clone https://github.com/gunthercox/ChatterBot ``` - [PyPi](https://pypi.org/project/chatterbot) (📥 23K / month · 📦 680 · ⏱️ 22.08.2020): ``` pip install chatterbot ```
sentencepiece (🥇31 · ⭐ 4.7K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2 - [GitHub](https://github.com/google/sentencepiece) (👨‍💻 48 · 🔀 630 · 📥 9.7K · 📦 5.5K · 📋 410 - 5% open · ⏱️ 12.01.2021): ``` git clone https://github.com/google/sentencepiece ``` - [PyPi](https://pypi.org/project/sentencepiece) (📥 940K / month · 📦 240 · ⏱️ 10.01.2021): ``` pip install sentencepiece ``` - [Conda](https://anaconda.org/conda-forge/sentencepiece) (📥 24K · ⏱️ 08.01.2021): ``` conda install -c conda-forge sentencepiece ```
fastText (🥇30 · ⭐ 22K) - Library for fast text representation and classification. MIT - [GitHub](https://github.com/facebookresearch/fastText) (👨‍💻 58 · 🔀 4.3K · 📦 1.4K · 📋 1K - 42% open · ⏱️ 18.07.2020): ``` git clone https://github.com/facebookresearch/fastText ``` - [PyPi](https://pypi.org/project/fasttext) (📥 110K / month · 📦 190 · ⏱️ 28.04.2020): ``` pip install fasttext ``` - [Conda](https://anaconda.org/conda-forge/fasttext) (📥 17K · ⏱️ 12.10.2020): ``` conda install -c conda-forge fasttext ```
flair (🥇30 · ⭐ 9.8K) - A very simple framework for state-of-the-art Natural Language.. MIT - [GitHub](https://github.com/flairNLP/flair) (👨‍💻 160 · 🔀 1.4K · 📦 590 · 📋 1.4K - 7% open · ⏱️ 13.01.2021): ``` git clone https://github.com/flairNLP/flair ``` - [PyPi](https://pypi.org/project/flair) (📥 39K / month · 📦 48 · ⏱️ 01.12.2020): ``` pip install flair ```
torchtext (🥇30 · ⭐ 2.6K) - Data loaders and abstractions for text and NLP. BSD-3 - [GitHub](https://github.com/pytorch/text) (👨‍💻 100 · 🔀 600 · 📦 3.6K · 📋 580 - 45% open · ⏱️ 15.01.2021): ``` git clone https://github.com/pytorch/text ``` - [PyPi](https://pypi.org/project/torchtext) (📥 77K / month · 📦 680 · ⏱️ 10.12.2020): ``` pip install torchtext ```
AllenNLP (🥈29 · ⭐ 9.6K) - An open-source NLP research library, built on PyTorch. Apache-2 - [GitHub](https://github.com/allenai/allennlp) (👨‍💻 230 · 🔀 2K · 📥 36 · 📦 1.4K · 📋 2.2K - 4% open · ⏱️ 20.01.2021): ``` git clone https://github.com/allenai/allennlp ``` - [PyPi](https://pypi.org/project/allennlp) (📥 14K / month · 📦 230 · ⏱️ 17.11.2020): ``` pip install allennlp ```
TextBlob (🥈29 · ⭐ 7.5K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT - [GitHub](https://github.com/sloria/TextBlob) (👨‍💻 33 · 🔀 950 · 📥 88 · 📦 9.9K · 📋 220 - 31% open · ⏱️ 11.01.2021): ``` git clone https://github.com/sloria/TextBlob ``` - [PyPi](https://pypi.org/project/textblob) (📥 240K / month · 📦 2.5K · ⏱️ 24.02.2019): ``` pip install textblob ``` - [Conda](https://anaconda.org/conda-forge/textblob) (📥 110K · ⏱️ 24.02.2019): ``` conda install -c conda-forge textblob ```
snowballstemmer (🥈29 · ⭐ 470) - Snowball compiler and stemming algorithms. BSD-3 - [GitHub](https://github.com/snowballstem/snowball) (👨‍💻 25 · 🔀 130 · 📦 43K · 📋 61 - 31% open · ⏱️ 21.01.2021): ``` git clone https://github.com/snowballstem/snowball ``` - [PyPi](https://pypi.org/project/snowballstemmer) (📥 2.1M / month · 📦 13K · ⏱️ 03.10.2019): ``` pip install snowballstemmer ``` - [Conda](https://anaconda.org/conda-forge/snowballstemmer) (📥 2M · ⏱️ 03.10.2019): ``` conda install -c conda-forge snowballstemmer ```
OpenNMT (🥈28 · ⭐ 4.8K · 📈) - Open Source Neural Machine Translation in PyTorch. MIT - [GitHub](https://github.com/OpenNMT/OpenNMT-py) (👨‍💻 160 · 🔀 1.8K · 📦 65 · 📋 1.2K - 7% open · ⏱️ 20.01.2021): ``` git clone https://github.com/OpenNMT/OpenNMT-py ``` - [PyPi](https://pypi.org/project/OpenNMT-py) (📥 4.2K / month · 📦 4 · ⏱️ 20.01.2021): ``` pip install OpenNMT-py ```
Tokenizers (🥈28 · ⭐ 4.2K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 - [GitHub](https://github.com/huggingface/tokenizers) (👨‍💻 40 · 🔀 300 · 📦 24 · 📋 370 - 21% open · ⏱️ 12.01.2021): ``` git clone https://github.com/huggingface/tokenizers ``` - [PyPi](https://pypi.org/project/tokenizers) (📥 810K / month · ⏱️ 12.01.2021): ``` pip install tokenizers ``` - [Conda](https://anaconda.org/conda-forge/tokenizers) (📥 19K · ⏱️ 19.11.2020): ``` conda install -c conda-forge tokenizers ```
sentence-transformers (🥈28 · ⭐ 4K) - Sentence Embeddings with BERT & XLNet. Apache-2 - [GitHub](https://github.com/UKPLab/sentence-transformers) (👨‍💻 38 · 🔀 740 · 📦 560 · 📋 650 - 45% open · ⏱️ 21.01.2021): ``` git clone https://github.com/UKPLab/sentence-transformers ``` - [PyPi](https://pypi.org/project/sentence-transformers) (📥 130K / month · ⏱️ 04.01.2021): ``` pip install sentence-transformers ```
Dedupe (🥈28 · ⭐ 2.9K) - A python library for accurate and scalable fuzzy matching, record.. MIT - [GitHub](https://github.com/dedupeio/dedupe) (👨‍💻 55 · 🔀 400 · 📦 180 · 📋 620 - 8% open · ⏱️ 15.01.2021): ``` git clone https://github.com/dedupeio/dedupe ``` - [PyPi](https://pypi.org/project/dedupe) (📥 47K / month · 📦 78 · ⏱️ 06.09.2020): ``` pip install dedupe ```
phonenumbers (🥈28 · ⭐ 2.6K) - Python port of Google's libphonenumber. Apache-2 - [GitHub](https://github.com/daviddrysdale/python-phonenumbers) (👨‍💻 22 · 🔀 330 · 📋 110 - 2% open · ⏱️ 12.01.2021): ``` git clone https://github.com/daviddrysdale/python-phonenumbers ``` - [PyPi](https://pypi.org/project/phonenumbers) (📥 650K / month · 📦 2.3K · ⏱️ 12.01.2021): ``` pip install phonenumbers ``` - [Conda](https://anaconda.org/conda-forge/phonenumbers) (📥 370K · ⏱️ 04.08.2019): ``` conda install -c conda-forge phonenumbers ```
inflect (🥈28 · ⭐ 470) - Correctly generate plurals, ordinals, indefinite articles; convert numbers.. MIT - [GitHub](https://github.com/jaraco/inflect) (👨‍💻 25 · 🔀 57 · 📋 71 - 18% open · ⏱️ 15.11.2020): ``` git clone https://github.com/jaraco/inflect ``` - [PyPi](https://pypi.org/project/inflect) (📥 840K / month · 📦 1.4K · ⏱️ 15.11.2020): ``` pip install inflect ``` - [Conda](https://anaconda.org/conda-forge/inflect) (📥 120K · ⏱️ 08.01.2021): ``` conda install -c conda-forge inflect ```
GluonNLP (🥈27 · ⭐ 2.2K) - Toolkit that enables easy text preprocessing, datasets loading.. Apache-2 - [GitHub](https://github.com/dmlc/gluon-nlp) (👨‍💻 78 · 🔀 490 · 📦 380 · 📋 510 - 44% open · ⏱️ 19.01.2021): ``` git clone https://github.com/dmlc/gluon-nlp ``` - [PyPi](https://pypi.org/project/gluonnlp) (📥 31K / month · 📦 11 · ⏱️ 13.08.2020): ``` pip install gluonnlp ```
Jina (🥈27 · ⭐ 1.9K) - An easier way to build neural search in the cloud. Apache-2 - [GitHub](https://github.com/jina-ai/jina) (👨‍💻 82 · 🔀 320 · 📦 45 · 📋 610 - 7% open · ⏱️ 21.01.2021): ``` git clone https://github.com/jina-ai/jina ``` - [PyPi](https://pypi.org/project/jina) (📥 1.9K / month · ⏱️ 20.01.2021): ``` pip install jina ``` - [Docker Hub](https://hub.docker.com/r/jinaai/jina) (📥 79K · ⏱️ 21.01.2021): ``` docker pull jinaai/jina ```
textacy (🥈27 · ⭐ 1.6K) - NLP, before and after spaCy. Apache-2 - [GitHub](https://github.com/chartbeat-labs/textacy) (👨‍💻 29 · 🔀 210 · 📋 220 - 13% open · ⏱️ 09.01.2021): ``` git clone https://github.com/chartbeat-labs/textacy ``` - [PyPi](https://pypi.org/project/textacy) (📥 18K / month · 📦 77 · ⏱️ 29.08.2020): ``` pip install textacy ``` - [Conda](https://anaconda.org/conda-forge/textacy) (📥 74K · ⏱️ 19.11.2020): ``` conda install -c conda-forge textacy ```
DeepPavlov (🥈26 · ⭐ 5K) - An open source library for deep learning end-to-end dialog.. Apache-2 - [GitHub](https://github.com/deepmipt/DeepPavlov) (👨‍💻 61 · 🔀 890 · 📦 170 · 📋 530 - 15% open · ⏱️ 24.12.2020): ``` git clone https://github.com/deepmipt/DeepPavlov ``` - [PyPi](https://pypi.org/project/deeppavlov) (📥 4.1K / month · 📦 4 · ⏱️ 24.12.2020): ``` pip install deeppavlov ```
ftfy (🥈26 · ⭐ 2.9K · 📈) - Fixes mojibake and other glitches in Unicode text, after the fact. MIT - [GitHub](https://github.com/LuminosoInsight/python-ftfy) (👨‍💻 17 · 🔀 100 · 📦 2.6K · 📋 110 - 14% open · ⏱️ 17.07.2020): ``` git clone https://github.com/LuminosoInsight/python-ftfy ``` - [PyPi](https://pypi.org/project/ftfy) (📥 250K / month · 📦 760 · ⏱️ 20.07.2020): ``` pip install ftfy ``` - [Conda](https://anaconda.org/conda-forge/ftfy) (📥 94K · ⏱️ 20.01.2021): ``` conda install -c conda-forge ftfy ```
TensorFlow Text (🥈26 · ⭐ 690) - Making text a first-class citizen in TensorFlow. Apache-2 - [GitHub](https://github.com/tensorflow/text) (👨‍💻 31 · 🔀 84 · 📦 430 · 📋 120 - 31% open · ⏱️ 19.01.2021): ``` git clone https://github.com/tensorflow/text ``` - [PyPi](https://pypi.org/project/tensorflow-text) (📥 140K / month · 📦 4 · ⏱️ 13.01.2021): ``` pip install tensorflow-text ```
PyText (🥈25 · ⭐ 6.1K) - A natural language modeling framework based on PyTorch. BSD-3 - [GitHub](https://github.com/facebookresearch/pytext) (👨‍💻 150 · 🔀 760 · 📥 210 · 📦 59 · 📋 190 - 60% open · ⏱️ 21.01.2021): ``` git clone https://github.com/facebookresearch/pytext ``` - [PyPi](https://pypi.org/project/pytext-nlp) (📥 230 / month · 📦 1 · ⏱️ 27.04.2020): ``` pip install pytext-nlp ```
vaderSentiment (🥈25 · ⭐ 2.7K · 💤) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT - [GitHub](https://github.com/cjhutto/vaderSentiment) (👨‍💻 10 · 🔀 720 · 📦 2.2K · 📋 99 - 25% open · ⏱️ 22.05.2020): ``` git clone https://github.com/cjhutto/vaderSentiment ``` - [PyPi](https://pypi.org/project/vadersentiment) (📥 100K / month · 📦 290 · ⏱️ 22.05.2020): ``` pip install vadersentiment ```
TextDistance (🥈25 · ⭐ 1.9K · 💤) - Compute distance between sequences. 30+ algorithms, pure.. MIT - [GitHub](https://github.com/life4/textdistance) (👨‍💻 7 · 🔀 160 · 📥 97 · 📦 300 · ⏱️ 13.04.2020): ``` git clone https://github.com/life4/textdistance ``` - [PyPi](https://pypi.org/project/textdistance) (📥 90K / month · 📦 28 · ⏱️ 13.04.2020): ``` pip install textdistance ``` - [Conda](https://anaconda.org/conda-forge/textdistance) (📥 18K · ⏱️ 10.11.2020): ``` conda install -c conda-forge textdistance ```
spark-nlp (🥈25 · ⭐ 1.8K) - State of the Art Natural Language Processing. Apache-2 - [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (👨‍💻 74 · 🔀 390 · 📋 410 - 17% open · ⏱️ 21.01.2021): ``` git clone https://github.com/JohnSnowLabs/spark-nlp ``` - [PyPi](https://pypi.org/project/spark-nlp) (📥 360K / month · ⏱️ 04.01.2021): ``` pip install spark-nlp ```
jellyfish (🥈25 · ⭐ 1.4K) - a python library for doing approximate and phonetic matching of.. BSD-2 - [GitHub](https://github.com/jamesturk/jellyfish) (👨‍💻 20 · 🔀 120 · 📦 2K · 📋 95 - 9% open · ⏱️ 30.12.2020): ``` git clone https://github.com/jamesturk/jellyfish ``` - [PyPi](https://pypi.org/project/jellyfish) (📥 720K / month · 📦 650 · ⏱️ 21.05.2020): ``` pip install jellyfish ``` - [Conda](https://anaconda.org/conda-forge/jellyfish) (📥 110K · ⏱️ 08.01.2021): ``` conda install -c conda-forge jellyfish ```
haystack (🥈25 · ⭐ 1.3K) - Transformers at scale for question answering & neural search. Using.. Apache-2 - [GitHub](https://github.com/deepset-ai/haystack) (👨‍💻 31 · 🔀 230 · 📦 25 · 📋 420 - 13% open · ⏱️ 21.01.2021): ``` git clone https://github.com/deepset-ai/haystack ``` - [PyPi](https://pypi.org/project/haystack) (📥 1.7K / month · 📦 74 · ⏱️ 03.07.2017): ``` pip install haystack ```
ParlAI (🥉24 · ⭐ 6.9K) - A framework for training and evaluating AI models on a variety of.. MIT - [GitHub](https://github.com/facebookresearch/ParlAI) (👨‍💻 140 · 🔀 1.4K · 📦 5 · 📋 940 - 11% open · ⏱️ 19.01.2021): ``` git clone https://github.com/facebookresearch/ParlAI ``` - [PyPi](https://pypi.org/project/parlai) (📥 720 / month · ⏱️ 19.01.2021): ``` pip install parlai ```
stanza (🥉24 · ⭐ 5.1K) - Official Stanford NLP Python Library for Many Human Languages. Apache-2 - [GitHub](https://github.com/stanfordnlp/stanza) (👨‍💻 28 · 🔀 630 · 📋 440 - 13% open · ⏱️ 12.01.2021): ``` git clone https://github.com/stanfordnlp/stanza ``` - [PyPi](https://pypi.org/project/stanza) (📥 12K / month · 📦 2 · ⏱️ 13.08.2020): ``` pip install stanza ``` - [Conda](https://anaconda.org/stanfordnlp/stanza) (📥 3K · ⏱️ 13.08.2020): ``` conda install -c stanfordnlp stanza ```
textgenrnn (🥉24 · ⭐ 4.2K) - Easily train your own text-generating neural network of any size.. MIT - [GitHub](https://github.com/minimaxir/textgenrnn) (👨‍💻 19 · 🔀 650 · 📥 390 · 📦 590 · 📋 190 - 57% open · ⏱️ 14.07.2020): ``` git clone https://github.com/minimaxir/textgenrnn ``` - [PyPi](https://pypi.org/project/textgenrnn) (📥 1.9K / month · 📦 14 · ⏱️ 02.02.2020): ``` pip install textgenrnn ```
T5 (🥉24 · ⭐ 3.1K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2 - [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (👨‍💻 28 · 🔀 420 · 📦 21 · 📋 330 - 11% open · ⏱️ 20.01.2021): ``` git clone https://github.com/google-research/text-to-text-transfer-transformer ``` - [PyPi](https://pypi.org/project/t5) (📥 5.2K / month · ⏱️ 18.12.2020): ``` pip install t5 ```
Sumy (🥉24 · ⭐ 2.5K) - Module for automatic summarization of text documents and HTML pages. Apache-2 - [GitHub](https://github.com/miso-belica/sumy) (👨‍💻 20 · 🔀 440 · 📦 640 · 📋 88 - 11% open · ⏱️ 21.11.2020): ``` git clone https://github.com/miso-belica/sumy ``` - [PyPi](https://pypi.org/project/sumy) (📥 5.3K / month · 📦 190 · ⏱️ 19.05.2019): ``` pip install sumy ```
fastNLP (🥉24 · ⭐ 2K) - fastNLP: A Modularized and Extensible NLP Framework. Currently still.. Apache-2 - [GitHub](https://github.com/fastnlp/fastNLP) (👨‍💻 48 · 🔀 350 · 📥 54 · 📦 21 · 📋 140 - 11% open · ⏱️ 23.11.2020): ``` git clone https://github.com/fastnlp/fastNLP ``` - [PyPi](https://pypi.org/project/fastnlp) (📥 870 / month · 📦 1 · ⏱️ 04.02.2019): ``` pip install fastnlp ```
PyTextRank (🥉24 · ⭐ 1.4K) - Python implementation of TextRank for phrase extraction and.. MIT - [GitHub](https://github.com/DerwenAI/pytextrank) (👨‍💻 10 · 🔀 290 · 📦 120 · 📋 54 - 31% open · ⏱️ 21.09.2020): ``` git clone https://github.com/DerwenAI/pytextrank ``` - [PyPi](https://pypi.org/project/pytextrank) (📥 11K / month · 📦 6 · ⏱️ 15.09.2020): ``` pip install pytextrank ```
CLTK (🥉24 · ⭐ 630) - The Classical Language Toolkit. MIT - [GitHub](https://github.com/cltk/cltk) (👨‍💻 110 · 🔀 300 · 📥 22 · 📦 150 · 📋 480 - 25% open · ⏱️ 09.01.2021): ``` git clone https://github.com/cltk/cltk ``` - [PyPi](https://pypi.org/project/cltk) (📥 1.1K / month · 📦 68 · ⏱️ 01.01.2021): ``` pip install cltk ```
pyahocorasick (🥉24 · ⭐ 570) - Python module (C extension and plain python) implementing Aho-.. BSD-3 - [GitHub](https://github.com/WojciechMula/pyahocorasick) (👨‍💻 20 · 🔀 86 · 📦 470 · 📋 96 - 32% open · ⏱️ 12.01.2021): ``` git clone https://github.com/WojciechMula/pyahocorasick ``` - [PyPi](https://pypi.org/project/pyahocorasick) (📥 86K / month · 📦 64 · ⏱️ 14.01.2019): ``` pip install pyahocorasick ``` - [Conda](https://anaconda.org/conda-forge/pyahocorasick) (📥 110K · ⏱️ 13.10.2020): ``` conda install -c conda-forge pyahocorasick ```
Ciphey (🥉23 · ⭐ 6.2K) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT - [GitHub](https://github.com/Ciphey/Ciphey) (👨‍💻 38 · 🔀 340 · 📋 220 - 21% open · ⏱️ 19.01.2021): ``` git clone https://github.com/Ciphey/Ciphey ``` - [PyPi](https://pypi.org/project/ciphey) (📥 3K / month · ⏱️ 02.12.2020): ``` pip install ciphey ``` - [Docker Hub](https://hub.docker.com/r/remnux/ciphey) (📥 7.4K · ⭐ 1 · ⏱️ 17.12.2020): ``` docker pull remnux/ciphey ```
flashtext (🥉23 · ⭐ 4.6K · 💤) - Extract Keywords from sentence or Replace keywords in sentences. MIT - [GitHub](https://github.com/vi3k6i5/flashtext) (👨‍💻 8 · 🔀 520 · 📦 340 · 📋 97 - 49% open · ⏱️ 03.05.2020): ``` git clone https://github.com/vi3k6i5/flashtext ``` - [PyPi](https://pypi.org/project/flashtext) (📥 210K / month · 📦 32 · ⏱️ 16.02.2018): ``` pip install flashtext ```
neuralcoref (🥉23 · ⭐ 2.2K) - Fast Coreference Resolution in spaCy with Neural Networks. MIT - [GitHub](https://github.com/huggingface/neuralcoref) (👨‍💻 20 · 🔀 380 · 📥 160 · 📦 280 · 📋 260 - 16% open · ⏱️ 29.12.2020): ``` git clone https://github.com/huggingface/neuralcoref ``` - [PyPi](https://pypi.org/project/neuralcoref) (📥 2.6K / month · 📦 18 · ⏱️ 08.04.2019): ``` pip install neuralcoref ``` - [Conda](https://anaconda.org/conda-forge/neuralcoref) (📥 5.7K · ⏱️ 21.02.2020): ``` conda install -c conda-forge neuralcoref ```
sense2vec (🥉23 · ⭐ 1.1K · 💤) - Contextually-keyed word vectors. MIT - [GitHub](https://github.com/explosion/sense2vec) (👨‍💻 14 · 🔀 200 · 📥 12K · 📦 48 · 📋 93 - 16% open · ⏱️ 29.05.2020): ``` git clone https://github.com/explosion/sense2vec ``` - [PyPi](https://pypi.org/project/sense2vec) (📥 2.4K / month · 📦 6 · ⏱️ 22.11.2019): ``` pip install sense2vec ``` - [Conda](https://anaconda.org/conda-forge/sense2vec) (📥 14K · ⏱️ 16.03.2020): ``` conda install -c conda-forge sense2vec ```
spacy-transformers (🥉23 · ⭐ 880) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy - [GitHub](https://github.com/explosion/spacy-transformers) (👨‍💻 15 · 🔀 99 · 📦 72 · 📋 180 - 26% open · ⏱️ 19.01.2021): ``` git clone https://github.com/explosion/spacy-transformers ``` - [PyPi](https://pypi.org/project/spacy-transformers) (📥 8.7K / month · 📦 6 · ⏱️ 19.01.2021): ``` pip install spacy-transformers ```
SciSpacy (🥉23 · ⭐ 780) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2 - [GitHub](https://github.com/allenai/scispacy) (👨‍💻 15 · 🔀 120 · 📦 200 · 📋 150 - 11% open · ⏱️ 12.01.2021): ``` git clone https://github.com/allenai/scispacy ``` - [PyPi](https://pypi.org/project/scispacy) (📥 7.1K / month · 📦 12 · ⏱️ 16.10.2020): ``` pip install scispacy ```
pySBD (🥉23 · ⭐ 260) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT - [GitHub](https://github.com/nipunsadvilkar/pySBD) (👨‍💻 6 · 🔀 25 · 📦 99 · 📋 47 - 8% open · ⏱️ 01.12.2020): ``` git clone https://github.com/nipunsadvilkar/pySBD ``` - [PyPi](https://pypi.org/project/pysbd) (📥 8.7K / month · 📦 2 · ⏱️ 08.10.2020): ``` pip install pysbd ```
Snips NLU (🥉22 · ⭐ 3.4K · 💤) - Snips Python library to extract meaning from text. Apache-2 - [GitHub](https://github.com/snipsco/snips-nlu) (👨‍💻 21 · 🔀 460 · 📋 250 - 20% open · ⏱️ 08.02.2020): ``` git clone https://github.com/snipsco/snips-nlu ``` - [PyPi](https://pypi.org/project/snips-nlu) (📥 1K / month · 📦 8 · ⏱️ 15.01.2020): ``` pip install snips-nlu ```
pytorch-nlp (🥉22 · ⭐ 1.9K) - Basic Utilities for PyTorch Natural Language Processing (NLP). BSD-3 - [GitHub](https://github.com/PetrochukM/PyTorch-NLP) (👨‍💻 17 · 🔀 220 · 📦 170 · 📋 63 - 22% open · ⏱️ 11.10.2020): ``` git clone https://github.com/PetrochukM/PyTorch-NLP ``` - [PyPi](https://pypi.org/project/pytorch-nlp) (📥 2.6K / month · 📦 18 · ⏱️ 04.11.2019): ``` pip install pytorch-nlp ```
scattertext (🥉22 · ⭐ 1.5K) - Beautiful visualizations of how language differs among document.. Apache-2 - [GitHub](https://github.com/JasonKessler/scattertext) (👨‍💻 10 · 🔀 200 · 📦 140 · 📋 70 - 24% open · ⏱️ 18.01.2021): ``` git clone https://github.com/JasonKessler/scattertext ``` - [PyPi](https://pypi.org/project/scattertext) (📥 2.1K / month · 📦 8 · ⏱️ 18.01.2021): ``` pip install scattertext ``` - [Conda](https://anaconda.org/conda-forge/scattertext) (📥 43K · ⏱️ 18.01.2021): ``` conda install -c conda-forge scattertext ```
fast-bert (🥉22 · ⭐ 1.5K) - Super easy library for BERT based NLP models. Apache-2 - [GitHub](https://github.com/utterworks/fast-bert) (👨‍💻 34 · 🔀 300 · 📋 230 - 60% open · ⏱️ 17.12.2020): ``` git clone https://github.com/kaushaltrivedi/fast-bert ``` - [PyPi](https://pypi.org/project/fast-bert) (📥 1.6K / month · 📦 2 · ⏱️ 09.12.2020): ``` pip install fast-bert ```
DeepMatcher (🥉21 · ⭐ 3.4K · 💤) - Python package for performing Entity and Text Matching using.. BSD-3 - [GitHub](https://github.com/anhaidgroup/deepmatcher) (👨‍💻 7 · 🔀 1.3K · 📦 10 · 📋 62 - 75% open · ⏱️ 20.04.2020): ``` git clone https://github.com/anhaidgroup/deepmatcher ``` - [PyPi](https://pypi.org/project/deepmatcher) (📥 240 / month · ⏱️ 30.12.2019): ``` pip install deepmatcher ```
NLP Architect (🥉21 · ⭐ 2.6K) - A model library for exploring state-of-the-art deep learning.. Apache-2 - [GitHub](https://github.com/IntelLabs/nlp-architect) (👨‍💻 36 · 🔀 390 · 📦 7 · 📋 120 - 13% open · ⏱️ 14.01.2021): ``` git clone https://github.com/IntelLabs/nlp-architect ``` - [PyPi](https://pypi.org/project/nlp-architect) (📥 160 / month · ⏱️ 12.04.2020): ``` pip install nlp-architect ```
Texar (🥉21 · ⭐ 2.1K) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 - [GitHub](https://github.com/asyml/texar) (👨‍💻 41 · 🔀 330 · 📦 12 · 📋 160 - 20% open · ⏱️ 29.07.2020): ``` git clone https://github.com/asyml/texar ``` - [PyPi](https://pypi.org/project/texar) (📥 110 / month · 📦 2 · ⏱️ 19.11.2019): ``` pip install texar ```
FARM (🥉21 · ⭐ 1.1K) - Fast & easy transfer learning for NLP. Harvesting language models.. Apache-2 - [GitHub](https://github.com/deepset-ai/FARM) (👨‍💻 29 · 🔀 150 · 📋 320 - 9% open · ⏱️ 20.01.2021): ``` git clone https://github.com/deepset-ai/FARM ``` - [PyPi](https://pypi.org/project/farm) (📥 3K / month · 📦 2 · ⏱️ 20.01.2021): ``` pip install farm ```
gpt-2-simple (🥉20 · ⭐ 2.4K · 💤) - Python package to easily retrain OpenAI's GPT-2 text-.. MIT - [GitHub](https://github.com/minimaxir/gpt-2-simple) (👨‍💻 16 · 🔀 490 · 📥 190 · 📋 220 - 58% open · ⏱️ 24.04.2020): ``` git clone https://github.com/minimaxir/gpt-2-simple ``` - [PyPi](https://pypi.org/project/gpt-2-simple) (📥 5K / month · 📦 3 · ⏱️ 28.12.2019): ``` pip install gpt-2-simple ```
NeMo (🥉20 · ⭐ 2.3K) - NeMo: a toolkit for conversational AI. Apache-2 - [GitHub](https://github.com/NVIDIA/NeMo) (👨‍💻 69 · 🔀 360 · 📥 570 · 📋 410 - 39% open · ⏱️ 20.01.2021): ``` git clone https://github.com/NVIDIA/NeMo ``` - [PyPi](https://pypi.org/project/nemo-toolkit) (📥 1.5K / month · 📦 4 · ⏱️ 11.12.2020): ``` pip install nemo-toolkit ```
Texthero (🥉20 · ⭐ 2.1K) - Text preprocessing, representation and visualization from zero to hero. MIT - [GitHub](https://github.com/jbesomi/texthero) (👨‍💻 18 · 🔀 180 · 📥 61 · 📋 120 - 60% open · ⏱️ 03.11.2020): ``` git clone https://github.com/jbesomi/texthero ``` - [PyPi](https://pypi.org/project/texthero) (📥 2.2K / month · ⏱️ 06.07.2020): ``` pip install texthero ```
DELTA (🥉20 · ⭐ 1.4K) - DELTA is a deep learning based natural language and speech.. Apache-2 - [GitHub](https://github.com/Delta-ML/delta) (👨‍💻 41 · 🔀 270 · 📋 76 - 11% open · ⏱️ 17.12.2020): ``` git clone https://github.com/Delta-ML/delta ``` - [PyPi](https://pypi.org/project/delta-nlp) (📥 6 / month · ⏱️ 27.03.2020): ``` pip install delta-nlp ``` - [Docker Hub](https://hub.docker.com/r/zh794390558/delta) (📥 12K · ⏱️ 20.01.2021): ``` docker pull zh794390558/delta ```
Sockeye (🥉20 · ⭐ 980) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2 - [GitHub](https://github.com/awslabs/sockeye) (👨‍💻 52 · 🔀 290 · 📋 240 - 8% open · ⏱️ 08.01.2021): ``` git clone https://github.com/awslabs/sockeye ``` - [PyPi](https://pypi.org/project/sockeye) (📥 560 / month · 📦 2 · ⏱️ 08.01.2021): ``` pip install sockeye ```
Kashgari (🥉19 · ⭐ 2K) - Kashgari is a production-level NLP Transfer learning framework.. Apache-2 - [GitHub](https://github.com/BrikerMan/Kashgari) (👨‍💻 19 · 🔀 380 · 📦 19 · 📋 330 - 9% open · ⏱️ 29.10.2020): ``` git clone https://github.com/BrikerMan/Kashgari ``` - [PyPi](https://pypi.org/project/kashgari-tf) (📥 120 / month · 📦 1 · ⏱️ 26.06.2019): ``` pip install kashgari-tf ```
YouTokenToMe (🥉19 · ⭐ 710 · 💤) - Unsupervised text tokenizer focused on computational efficiency. MIT - [GitHub](https://github.com/VKCOM/YouTokenToMe) (👨‍💻 6 · 🔀 42 · 📦 95 · 📋 41 - 51% open · ⏱️ 13.02.2020): ``` git clone https://github.com/vkcom/youtokentome ``` - [PyPi](https://pypi.org/project/youtokentome) (📥 5.2K / month · 📦 6 · ⏱️ 12.02.2020): ``` pip install youtokentome ```
finetune (🥉19 · ⭐ 630 · 📉) - Scikit-learn style model finetuning for NLP. MPL-2.0 - [GitHub](https://github.com/IndicoDataSolutions/finetune) (👨‍💻 18 · 🔀 67 · 📦 9 · 📋 130 - 13% open · ⏱️ 06.01.2021): ``` git clone https://github.com/IndicoDataSolutions/finetune ``` - [PyPi](https://pypi.org/project/finetune) (📥 99 / month · 📦 2 · ⏱️ 10.01.2020): ``` pip install finetune ```
textpipe (🥉19 · ⭐ 260) - Textpipe: clean and extract metadata from text. MIT - [GitHub](https://github.com/textpipe/textpipe) (👨‍💻 27 · 🔀 18 · 📦 7 · 📋 44 - 45% open · ⏱️ 12.10.2020): ``` git clone https://github.com/textpipe/textpipe ``` - [PyPi](https://pypi.org/project/textpipe) (📥 570 / month · 📦 1 · ⏱️ 12.10.2020): ``` pip install textpipe ```
skift (🥉19 · ⭐ 210) - scikit-learn wrappers for Python fastText. MIT - [GitHub](https://github.com/shaypal5/skift) (👨‍💻 6 · 🔀 22 · 📦 8 · 📋 10 - 20% open · ⏱️ 19.01.2021): ``` git clone https://github.com/shaypal5/skift ``` - [PyPi](https://pypi.org/project/skift) (📥 1.1K / month · ⏱️ 27.08.2020): ``` pip install skift ```
Camphr (🥉18 · ⭐ 320) - spaCy plugin for Transformers , Udify, ELmo, etc. Apache-2 spacy - [GitHub](https://github.com/PKSHATechnology-Research/camphr) (👨‍💻 7 · 🔀 15 · 📋 29 - 44% open · ⏱️ 21.01.2021): ``` git clone https://github.com/PKSHATechnology-Research/camphr ``` - [PyPi](https://pypi.org/project/camphr) (📥 370 / month · ⏱️ 25.12.2020): ``` pip install camphr ```
VizSeq (🥉16 · ⭐ 310) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT - [GitHub](https://github.com/facebookresearch/vizseq) (👨‍💻 3 · 🔀 39 · 📦 1 · 📋 15 - 46% open · ⏱️ 13.12.2020): ``` git clone https://github.com/facebookresearch/vizseq ``` - [PyPi](https://pypi.org/project/vizseq) (📥 51 / month · ⏱️ 07.08.2020): ``` pip install vizseq ```
Translate (🥉15 · ⭐ 670) - Translate - a PyTorch Language Library. BSD-3 - [GitHub](https://github.com/pytorch/translate) (👨‍💻 84 · 🔀 160 · 📋 93 - 70% open · ⏱️ 29.12.2020): ``` git clone https://github.com/pytorch/translate ``` - [PyPi](https://pypi.org/project/pytorch-translate) (📥 3 / month · ⏱️ 01.05.2018): ``` pip install pytorch-translate ```
Headliner (🥉15 · ⭐ 220 · 💤) - Easy training and deployment of seq2seq models. MIT - [GitHub](https://github.com/as-ideas/headliner) (👨‍💻 2 · 🔀 37 · 📦 3 · 📋 14 - 7% open · ⏱️ 14.02.2020): ``` git clone https://github.com/as-ideas/headliner ``` - [PyPi](https://pypi.org/project/headliner) (📥 110 / month · 📦 1 · ⏱️ 24.01.2020): ``` pip install headliner ```
NeuralQA (🥉15 · ⭐ 180) - NeuralQA: A Usable Library for Question Answering on Large Datasets with.. MIT - [GitHub](https://github.com/victordibia/neuralqa) (👨‍💻 3 · 🔀 23 · 📦 2 · 📋 26 - 69% open · ⏱️ 16.12.2020): ``` git clone https://github.com/victordibia/neuralqa ``` - [PyPi](https://pypi.org/project/neuralqa) (📥 38 / month · ⏱️ 29.07.2020): ``` pip install neuralqa ```
OpenNRE (🥉14 · ⭐ 2.9K) - An Open-Source Package for Neural Relation Extraction (NRE). MIT - [GitHub](https://github.com/thunlp/OpenNRE) (👨‍💻 9 · 🔀 830 · 📋 300 - 5% open · ⏱️ 24.11.2020): ``` git clone https://github.com/thunlp/OpenNRE ```
TransferNLP (🥉14 · ⭐ 280 · 💤) - NLP library designed for reproducible experimentation.. MIT - [GitHub](https://github.com/feedly/transfer-nlp) (👨‍💻 7 · 🔀 18 · 📋 23 - 17% open · ⏱️ 28.05.2020): ``` git clone https://github.com/feedly/transfer-nlp ``` - [PyPi](https://pypi.org/project/transfer-nlp) (📥 42 / month · ⏱️ 28.05.2020): ``` pip install transfer-nlp ```
textvec (🥉14 · ⭐ 150) - Text vectorization tool to outperform TFIDF for classification tasks. MIT - [GitHub](https://github.com/textvec/textvec) (👨‍💻 5 · 🔀 21 · 📦 2 · 📋 8 - 25% open · ⏱️ 03.12.2020): ``` git clone https://github.com/textvec/textvec ``` - [PyPi](https://pypi.org/project/textvec) (📥 72 / month · ⏱️ 03.12.2020): ``` pip install textvec ```
Show 10 hidden projects... - gensim (🥇35 · ⭐ 12K) - Topic Modelling for Humans. ❗️LGPL-2.1 - fuzzywuzzy (🥈29 · ⭐ 7.8K · 💤) - Fuzzy String Matching in Python. ❗️GPL-2.0 - langid (🥈26 · ⭐ 1.7K · 💀) - Stand-alone language identification system. BSD-3 - polyglot (🥉24 · ⭐ 1.8K) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 - anaGo (🥉22 · ⭐ 1.4K · 💀) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT - MatchZoo (🥉21 · ⭐ 3.3K · 💀) - Facilitating the design, comparison and sharing of deep.. Apache-2 - stop-words (🥉20 · ⭐ 120 · 💀) - Get list of common stop words in various languages in Python. BSD-3 - pyfasttext (🥉19 · ⭐ 230 · 💀) - Yet another Python binding for fastText. ❗️GPL-3.0 - NeuroNER (🥉18 · ⭐ 1.5K · 💀) - Named-entity recognition using neural networks. Easy-to-use and.. MIT - ONNX-T5 (🥉11 · ⭐ 130 · 🐣) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2

## Image Data Back to top _Libraries for image & video processing, manipulation, and augmentation as well as libraries for computer vision tasks such as facial recognition, object detection, and classification._
Pillow (🥇39 · ⭐ 8.1K) - The friendly PIL fork (Python Imaging Library). ❗️PIL - [GitHub](https://github.com/python-pillow/Pillow) (👨‍💻 340 · 🔀 1.6K · 📦 390K · 📋 2.1K - 11% open · ⏱️ 21.01.2021): ``` git clone https://github.com/python-pillow/Pillow ``` - [PyPi](https://pypi.org/project/Pillow) (📥 13M / month · 📦 110K · ⏱️ 02.01.2021): ``` pip install Pillow ``` - [Conda](https://anaconda.org/conda-forge/pillow) (📥 6.8M · ⏱️ 11.01.2021): ``` conda install -c conda-forge pillow ```
torchvision (🥇36 · ⭐ 8.2K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 - [GitHub](https://github.com/pytorch/vision) (👨‍💻 350 · 🔀 4.3K · 📦 40K · 📋 1.5K - 29% open · ⏱️ 21.01.2021): ``` git clone https://github.com/pytorch/vision ``` - [PyPi](https://pypi.org/project/torchvision) (📥 640K / month · 📦 4.6K · ⏱️ 10.12.2020): ``` pip install torchvision ``` - [Conda](https://anaconda.org/conda-forge/torchvision) (📥 34K · ⏱️ 14.10.2018): ``` conda install -c conda-forge torchvision ```
scikit-image (🥇36 · ⭐ 4.1K) - Image processing in Python. BSD-2 - [GitHub](https://github.com/scikit-image/scikit-image) (👨‍💻 480 · 🔀 1.7K · 📦 59K · 📋 2.1K - 30% open · ⏱️ 21.01.2021): ``` git clone https://github.com/scikit-image/scikit-image ``` - [PyPi](https://pypi.org/project/scikit-image) (📥 1.7M / month · 📦 15K · ⏱️ 23.12.2020): ``` pip install scikit-image ``` - [Conda](https://anaconda.org/conda-forge/scikit-image) (📥 2.1M · ⏱️ 23.12.2020): ``` conda install -c conda-forge scikit-image ```
imgaug (🥇31 · ⭐ 11K · 💤) - Image augmentation for machine learning experiments. MIT - [GitHub](https://github.com/aleju/imgaug) (👨‍💻 36 · 🔀 2K · 📦 5.1K · 📋 420 - 51% open · ⏱️ 01.06.2020): ``` git clone https://github.com/aleju/imgaug ``` - [PyPi](https://pypi.org/project/imgaug) (📥 120K / month · 📦 280 · ⏱️ 05.02.2020): ``` pip install imgaug ``` - [Conda](https://anaconda.org/conda-forge/imgaug) (📥 31K · ⏱️ 14.02.2020): ``` conda install -c conda-forge imgaug ```
imageio (🥇31 · ⭐ 820) - Python library for reading and writing image data. BSD-2 - [GitHub](https://github.com/imageio/imageio) (👨‍💻 71 · 🔀 170 · 📦 35K · 📋 340 - 19% open · ⏱️ 08.01.2021): ``` git clone https://github.com/imageio/imageio ``` - [PyPi](https://pypi.org/project/imageio) (📥 1.7M / month · 📦 3.8K · ⏱️ 06.07.2020): ``` pip install imageio ``` - [Conda](https://anaconda.org/conda-forge/imageio) (📥 1.6M · ⏱️ 06.07.2020): ``` conda install -c conda-forge imageio ```
opencv-python (🥈30 · ⭐ 1.7K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT - [GitHub](https://github.com/skvark/opencv-python) (👨‍💻 27 · 🔀 310 · 📋 390 - 4% open · ⏱️ 28.12.2020): ``` git clone https://github.com/skvark/opencv-python ``` - [PyPi](https://pypi.org/project/opencv-python) (📥 2.1M / month · 📦 13K · ⏱️ 02.01.2021): ``` pip install opencv-python ```
Wand (🥈30 · ⭐ 1K) - The ctypes-based simple ImageMagick binding for Python. MIT - [GitHub](https://github.com/emcconville/wand) (👨‍💻 94 · 🔀 180 · 📥 5.2K · 📦 3.1K · 📋 330 - 3% open · ⏱️ 20.01.2021): ``` git clone https://github.com/emcconville/wand ``` - [PyPi](https://pypi.org/project/wand) (📥 110K / month · 📦 1.2K · ⏱️ 29.11.2020): ``` pip install wand ```
Face Recognition (🥈29 · ⭐ 38K) - The world's simplest facial recognition api for Python.. MIT - [GitHub](https://github.com/ageitgey/face_recognition) (👨‍💻 45 · 🔀 11K · 📥 440 · 📋 1.1K - 51% open · ⏱️ 26.09.2020): ``` git clone https://github.com/ageitgey/face_recognition ``` - [PyPi](https://pypi.org/project/face_recognition) (📥 27K / month · 📦 410 · ⏱️ 21.08.2018): ``` pip install face_recognition ```
MoviePy (🥈29 · ⭐ 7.2K) - Video editing with Python. MIT - [GitHub](https://github.com/Zulko/moviepy) (👨‍💻 140 · 🔀 1K · 📦 5.7K · 📋 1K - 33% open · ⏱️ 20.01.2021): ``` git clone https://github.com/Zulko/moviepy ``` - [PyPi](https://pypi.org/project/moviepy) (📥 110K / month · 📦 1.1K · ⏱️ 05.10.2020): ``` pip install moviepy ``` - [Conda](https://anaconda.org/conda-forge/moviepy) (📥 72K · ⏱️ 23.02.2020): ``` conda install -c conda-forge moviepy ```
Albumentations (🥈28 · ⭐ 7.1K) - Fast image augmentation library and easy to use wrapper.. MIT - [GitHub](https://github.com/albumentations-team/albumentations) (👨‍💻 72 · 🔀 920 · 📦 2.6K · 📋 400 - 42% open · ⏱️ 15.01.2021): ``` git clone https://github.com/albumentations-team/albumentations ``` - [PyPi](https://pypi.org/project/albumentations) (📥 56K / month · 📦 130 · ⏱️ 29.11.2020): ``` pip install albumentations ``` - [Conda](https://anaconda.org/conda-forge/albumentations) (📥 14K · ⏱️ 29.11.2020): ``` conda install -c conda-forge albumentations ```
GluonCV (🥈28 · ⭐ 4.5K) - Gluon CV Toolkit. Apache-2 - [GitHub](https://github.com/dmlc/gluon-cv) (👨‍💻 110 · 🔀 1K · 📦 400 · 📋 740 - 49% open · ⏱️ 20.01.2021): ``` git clone https://github.com/dmlc/gluon-cv ``` - [PyPi](https://pypi.org/project/gluoncv) (📥 66K / month · 📦 30 · ⏱️ 20.01.2021): ``` pip install gluoncv ```
Kornia (🥈28 · ⭐ 3.5K) - Open Source Differentiable Computer Vision Library for PyTorch. Apache-2 - [GitHub](https://github.com/kornia/kornia) (👨‍💻 83 · 🔀 350 · 📦 240 · 📋 350 - 29% open · ⏱️ 21.01.2021): ``` git clone https://github.com/kornia/kornia ``` - [PyPi](https://pypi.org/project/kornia) (📥 13K / month · ⏱️ 20.10.2020): ``` pip install kornia ```
imutils (🥈28 · ⭐ 3.5K) - A series of convenience functions to make basic image processing.. MIT - [GitHub](https://github.com/jrosebr1/imutils) (👨‍💻 20 · 🔀 870 · 📦 12K · 📋 200 - 62% open · ⏱️ 15.01.2021): ``` git clone https://github.com/jrosebr1/imutils ``` - [PyPi](https://pypi.org/project/imutils) (📥 150K / month · 📦 1.2K · ⏱️ 15.01.2021): ``` pip install imutils ``` - [Conda](https://anaconda.org/conda-forge/imutils) (📥 35K · ⏱️ 15.01.2021): ``` conda install -c conda-forge imutils ```
ImageHash (🥈28 · ⭐ 1.8K) - A Python Perceptual Image Hashing Module. BSD-2 - [GitHub](https://github.com/JohannesBuchner/imagehash) (👨‍💻 17 · 🔀 250 · 📦 1.9K · 📋 87 - 19% open · ⏱️ 03.01.2021): ``` git clone https://github.com/JohannesBuchner/imagehash ``` - [PyPi](https://pypi.org/project/ImageHash) (📥 310K / month · 📦 530 · ⏱️ 19.11.2020): ``` pip install ImageHash ``` - [Conda](https://anaconda.org/conda-forge/imagehash) (📥 98K · ⏱️ 19.11.2020): ``` conda install -c conda-forge imagehash ```
PyTorch Image Models (🥈27 · ⭐ 6.7K) - PyTorch image models, scripts, pretrained weights --.. Apache-2 - [GitHub](https://github.com/rwightman/pytorch-image-models) (👨‍💻 26 · 🔀 940 · 📥 190K · 📦 260 · 📋 230 - 9% open · ⏱️ 06.01.2021): ``` git clone https://github.com/rwightman/pytorch-image-models ```
imageai (🥈27 · ⭐ 5.8K) - A python library built to empower developers to build applications and.. MIT - [GitHub](https://github.com/OlafenwaMoses/ImageAI) (👨‍💻 13 · 🔀 1.6K · 📥 530K · 📦 660 · 📋 590 - 31% open · ⏱️ 05.01.2021): ``` git clone https://github.com/OlafenwaMoses/ImageAI ``` - [PyPi](https://pypi.org/project/imageai) (📥 5.2K / month · 📦 12 · ⏱️ 05.01.2021): ``` pip install imageai ```
detectron2 (🥈26 · ⭐ 15K) - Detectron2 is FAIR's next-generation platform for object.. Apache-2 - [GitHub](https://github.com/facebookresearch/detectron2) (👨‍💻 140 · 🔀 3.7K · 📦 150 · 📋 2.2K - 4% open · ⏱️ 21.01.2021): ``` git clone https://github.com/facebookresearch/detectron2 ``` - [Conda](https://anaconda.org/conda-forge/detectron2) (📥 12K · ⏱️ 05.08.2020): ``` conda install -c conda-forge detectron2 ```
InsightFace (🥈26 · ⭐ 8.4K) - Face Analysis Project on MXNet. MIT - [GitHub](https://github.com/deepinsight/insightface) (👨‍💻 15 · 🔀 2.9K · 📦 51 · 📋 1.3K - 52% open · ⏱️ 20.01.2021): ``` git clone https://github.com/deepinsight/insightface ``` - [PyPi](https://pypi.org/project/insightface) (📥 3K / month · 📦 1 · ⏱️ 07.09.2019): ``` pip install insightface ```
MMDetection (🥈25 · ⭐ 13K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 - [GitHub](https://github.com/open-mmlab/mmdetection) (👨‍💻 180 · 🔀 4.6K · 📦 18 · 📋 3.3K - 10% open · ⏱️ 21.01.2021): ``` git clone https://github.com/open-mmlab/mmdetection ```
Augmentor (🥈25 · ⭐ 4.3K · 💤) - Image augmentation library in Python for machine learning. MIT - [GitHub](https://github.com/mdbloice/Augmentor) (👨‍💻 22 · 🔀 780 · 📦 280 · 📋 180 - 63% open · ⏱️ 09.03.2020): ``` git clone https://github.com/mdbloice/Augmentor ``` - [PyPi](https://pypi.org/project/Augmentor) (📥 2.9K / month · 📦 42 · ⏱️ 17.01.2020): ``` pip install Augmentor ```
PyTorch3D (🥈25 · ⭐ 4.2K) - PyTorch3D is FAIR's library of reusable components for deep.. MIT - [GitHub](https://github.com/facebookresearch/pytorch3d) (👨‍💻 50 · 🔀 470 · 📦 44 · 📋 470 - 11% open · ⏱️ 21.01.2021): ``` git clone https://github.com/facebookresearch/pytorch3d ``` - [PyPi](https://pypi.org/project/pytorch3d) (📥 4.1K / month · ⏱️ 12.11.2020): ``` pip install pytorch3d ``` - [Conda](https://anaconda.org/pytorch3d/pytorch3d) (📥 5.8K · ⏱️ 12.11.2020): ``` conda install -c pytorch3d pytorch3d ```
facenet-pytorch (🥈25 · ⭐ 1.8K) - Pretrained Pytorch face detection (MTCNN) and recognition.. MIT - [GitHub](https://github.com/timesler/facenet-pytorch) (👨‍💻 11 · 🔀 380 · 📥 53K · 📦 260 · 📋 110 - 23% open · ⏱️ 19.11.2020): ``` git clone https://github.com/timesler/facenet-pytorch ``` - [PyPi](https://pypi.org/project/facenet-pytorch) (📥 3.7K / month · 📦 3 · ⏱️ 19.11.2020): ``` pip install facenet-pytorch ```
chainercv (🥈25 · ⭐ 1.4K · 💤) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT - [GitHub](https://github.com/chainer/chainercv) (👨‍💻 39 · 🔀 320 · 📦 220 · 📋 220 - 24% open · ⏱️ 07.01.2020): ``` git clone https://github.com/chainer/chainercv ``` - [PyPi](https://pypi.org/project/chainercv) (📥 3.3K / month · 📦 24 · ⏱️ 31.05.2019): ``` pip install chainercv ```
mtcnn (🥈25 · ⭐ 1.4K) - MTCNN face detection implementation for TensorFlow, as a PIP package. MIT - [GitHub](https://github.com/ipazc/mtcnn) (👨‍💻 14 · 🔀 370 · 📦 830 · 📋 89 - 59% open · ⏱️ 13.01.2021): ``` git clone https://github.com/ipazc/mtcnn ``` - [PyPi](https://pypi.org/project/mtcnn) (📥 12K / month · 📦 42 · ⏱️ 14.11.2019): ``` pip install mtcnn ```
mahotas (🥈25 · ⭐ 660) - Computer Vision in Python. MIT - [GitHub](https://github.com/luispedro/mahotas) (👨‍💻 30 · 🔀 120 · 📦 550 · 📋 70 - 18% open · ⏱️ 13.01.2021): ``` git clone https://github.com/luispedro/mahotas ``` - [PyPi](https://pypi.org/project/mahotas) (📥 8.3K / month · 📦 190 · ⏱️ 16.08.2020): ``` pip install mahotas ``` - [Conda](https://anaconda.org/conda-forge/mahotas) (📥 250K · ⏱️ 01.11.2020): ``` conda install -c conda-forge mahotas ```
Face Alignment (🥉23 · ⭐ 4.6K) - 2D and 3D Face alignment library build using pytorch. BSD-3 - [GitHub](https://github.com/1adrianb/face-alignment) (👨‍💻 21 · 🔀 1K · 📋 220 - 13% open · ⏱️ 30.12.2020): ``` git clone https://github.com/1adrianb/face-alignment ``` - [PyPi](https://pypi.org/project/face-alignment) (📥 4.2K / month · 📦 6 · ⏱️ 22.12.2020): ``` pip install face-alignment ```
segmentation_models (🥉23 · ⭐ 2.9K · 💤) - Segmentation models with pretrained backbones. Keras.. MIT - [GitHub](https://github.com/qubvel/segmentation_models) (👨‍💻 14 · 🔀 670 · 📋 380 - 37% open · ⏱️ 17.04.2020): ``` git clone https://github.com/qubvel/segmentation_models ``` - [PyPi](https://pypi.org/project/segmentation_models) (📥 12K / month · 📦 12 · ⏱️ 10.01.2020): ``` pip install segmentation_models ```
vidgear (🥉23 · ⭐ 1.6K) - High-performance cross-platform Video Processing Python framework.. Apache-2 - [GitHub](https://github.com/abhiTronix/vidgear) (👨‍💻 5 · 🔀 110 · 📥 300 · 📦 77 · 📋 130 - 3% open · ⏱️ 01.01.2021): ``` git clone https://github.com/abhiTronix/vidgear ``` - [PyPi](https://pypi.org/project/vidgear) (📥 1.4K / month · 📦 2 · ⏱️ 01.01.2021): ``` pip install vidgear ```
Image Deduplicator (🥉22 · ⭐ 3.3K) - Finding duplicate images made easy!. Apache-2 - [GitHub](https://github.com/idealo/imagededup) (👨‍💻 9 · 🔀 280 · 📦 8 · 📋 70 - 24% open · ⏱️ 23.11.2020): ``` git clone https://github.com/idealo/imagededup ``` - [PyPi](https://pypi.org/project/imagededup) (📥 1.5K / month · 📦 1 · ⏱️ 22.11.2020): ``` pip install imagededup ```
CellProfiler (🥉22 · ⭐ 530) - An open-source application for biological image analysis. BSD-3 - [GitHub](https://github.com/CellProfiler/CellProfiler) (👨‍💻 120 · 🔀 270 · 📥 550 · 📦 3 · 📋 2.9K - 5% open · ⏱️ 19.01.2021): ``` git clone https://github.com/CellProfiler/CellProfiler ``` - [PyPi](https://pypi.org/project/cellprofiler) (📥 99 / month · ⏱️ 04.09.2017): ``` pip install cellprofiler ```
Caer (🥉22 · ⭐ 330 · 🐣) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT - [GitHub](https://github.com/jasmcaus/caer) (👨‍💻 3 · 🔀 39 · 📥 14 · 📋 10 - 30% open · ⏱️ 20.01.2021): ``` git clone https://github.com/jasmcaus/caer ``` - [PyPi](https://pypi.org/project/caer) (📥 620K / month · ⏱️ 15.01.2021): ``` pip install caer ```
pyvips (🥉22 · ⭐ 280) - python binding for libvips using cffi. MIT - [GitHub](https://github.com/libvips/pyvips) (👨‍💻 10 · 🔀 25 · 📦 140 · 📋 200 - 34% open · ⏱️ 27.12.2020): ``` git clone https://github.com/libvips/pyvips ``` - [PyPi](https://pypi.org/project/pyvips) (📥 3K / month · 📦 22 · ⏱️ 18.12.2020): ``` pip install pyvips ``` - [Conda](https://anaconda.org/conda-forge/pyvips) (📥 6K · ⏱️ 14.10.2020): ``` conda install -c conda-forge pyvips ```
Image Super-Resolution (🥉21 · ⭐ 2.4K) - Super-scale your images and run experiments with.. Apache-2 - [GitHub](https://github.com/idealo/image-super-resolution) (👨‍💻 9 · 🔀 470 · 📦 38 · 📋 150 - 33% open · ⏱️ 11.11.2020): ``` git clone https://github.com/idealo/image-super-resolution ``` - [PyPi](https://pypi.org/project/ISR) (📥 2.4K / month · 📦 4 · ⏱️ 08.01.2020): ``` pip install ISR ``` - [Docker Hub](https://hub.docker.com/r/idealo/image-super-resolution-gpu) (📥 120 · ⏱️ 01.04.2019): ``` docker pull idealo/image-super-resolution-gpu ```
tensorflow-graphics (🥉21 · ⭐ 2.4K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2 - [GitHub](https://github.com/tensorflow/graphics) (👨‍💻 30 · 🔀 270 · 📋 170 - 51% open · ⏱️ 20.01.2021): ``` git clone https://github.com/tensorflow/graphics ``` - [PyPi](https://pypi.org/project/tensorflow-graphics) (📥 910 / month · 📦 3 · ⏱️ 20.05.2020): ``` pip install tensorflow-graphics ```
Luminoth (🥉21 · ⭐ 2.3K · 💤) - Deep Learning toolkit for Computer Vision. BSD-3 - [GitHub](https://github.com/tryolabs/luminoth) (👨‍💻 15 · 🔀 400 · 📥 11K · 📦 27 · 📋 180 - 28% open · ⏱️ 07.01.2020): ``` git clone https://github.com/tryolabs/luminoth ``` - [PyPi](https://pypi.org/project/luminoth) (📥 490 / month · ⏱️ 09.11.2018): ``` pip install luminoth ```
MMF (🥉20 · ⭐ 4.1K) - A modular framework for vision & language multimodal research from.. BSD-3 - [GitHub](https://github.com/facebookresearch/mmf) (👨‍💻 50 · 🔀 590 · 📦 6 · 📋 410 - 21% open · ⏱️ 21.01.2021): ``` git clone https://github.com/facebookresearch/mmf ``` - [PyPi](https://pypi.org/project/mmf) (📥 140 / month · ⏱️ 11.06.2020): ``` pip install mmf ```
image-match (🥉20 · ⭐ 2.5K) - Quickly search over billions of images. Apache-2 - [GitHub](https://github.com/EdjoLabs/image-match) (👨‍💻 17 · 🔀 350 · 📋 94 - 50% open · ⏱️ 04.01.2021): ``` git clone https://github.com/EdjoLabs/image-match ``` - [PyPi](https://pypi.org/project/image_match) (📥 280 / month · 📦 3 · ⏱️ 13.02.2017): ``` pip install image_match ```
Classy Vision (🥉20 · ⭐ 1.1K) - An end-to-end PyTorch framework for image and video.. MIT - [GitHub](https://github.com/facebookresearch/ClassyVision) (👨‍💻 54 · 🔀 190 · 📋 89 - 51% open · ⏱️ 20.01.2021): ``` git clone https://github.com/facebookresearch/ClassyVision ``` - [PyPi](https://pypi.org/project/classy_vision) (📥 130 / month · ⏱️ 20.11.2020): ``` pip install classy_vision ``` - [Conda](https://anaconda.org/conda-forge/classy_vision) (📥 5.6K · ⏱️ 11.12.2020): ``` conda install -c conda-forge classy_vision ```
Torch Points 3D (🥉20 · ⭐ 1K) - Pytorch framework for doing deep learning on point clouds. BSD-3 - [GitHub](https://github.com/nicolas-chaulet/torch-points3d) (👨‍💻 20 · 🔀 150 · 📦 2 · 📋 200 - 21% open · ⏱️ 19.01.2021): ``` git clone https://github.com/nicolas-chaulet/torch-points3d ``` - [PyPi](https://pypi.org/project/torch-points3d) (📥 250 / month · ⏱️ 18.12.2020): ``` pip install torch-points3d ```
nude.py (🥉20 · ⭐ 790) - Nudity detection with Python. MIT - [GitHub](https://github.com/hhatto/nude.py) (👨‍💻 12 · 🔀 130 · 📦 56 · 📋 8 - 75% open · ⏱️ 23.11.2020): ``` git clone https://github.com/hhatto/nude.py ``` - [PyPi](https://pypi.org/project/nudepy) (📥 810 / month · 📦 9 · ⏱️ 23.11.2020): ``` pip install nudepy ```
vit-pytorch (🥉19 · ⭐ 2.3K · 🐣) - Implementation of Vision Transformer, a simple way to.. MIT - [GitHub](https://github.com/lucidrains/vit-pytorch) (👨‍💻 4 · 🔀 200 · 📦 4 · 📋 60 - 36% open · ⏱️ 12.01.2021): ``` git clone https://github.com/lucidrains/vit-pytorch ``` - [PyPi](https://pypi.org/project/vit-pytorch) (📥 1.2K / month · ⏱️ 11.01.2021): ``` pip install vit-pytorch ```
Norfair (🥉18 · ⭐ 780 · 🐣) - Lightweight Python library for adding real-time 2D object tracking.. BSD-3 - [GitHub](https://github.com/tryolabs/norfair) (👨‍💻 7 · 🔀 46 · 📋 18 - 27% open · ⏱️ 22.12.2020): ``` git clone https://github.com/tryolabs/norfair ``` - [PyPi](https://pypi.org/project/norfair) (📥 250 / month · ⏱️ 07.12.2020): ``` pip install norfair ```
PaddleDetection (🥉17 · ⭐ 2.2K) - Object detection and instance segmentation toolkit.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (👨‍💻 43 · 🔀 610 · 📋 1.1K - 25% open · ⏱️ 20.01.2021): ``` git clone https://github.com/PaddlePaddle/PaddleDetection ```
lightly (🥉17 · ⭐ 400 · 🐣) - A python library for self-supervised learning on images. MIT - [GitHub](https://github.com/lightly-ai/lightly) (👨‍💻 5 · 🔀 21 · 📦 1 · 📋 42 - 54% open · ⏱️ 19.01.2021): ``` git clone https://github.com/lightly-ai/lightly ``` - [PyPi](https://pypi.org/project/lightly) (📥 160 / month · ⏱️ 11.01.2021): ``` pip install lightly ```
DE⫶TR (🥉14 · ⭐ 6K) - End-to-End Object Detection with Transformers. Apache-2 - [GitHub](https://github.com/facebookresearch/detr) (👨‍💻 19 · 🔀 870 · 📋 260 - 21% open · ⏱️ 15.11.2020): ``` git clone https://github.com/facebookresearch/detr ```
PySlowFast (🥉14 · ⭐ 3.3K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2 - [GitHub](https://github.com/facebookresearch/SlowFast) (👨‍💻 19 · 🔀 620 · 📦 2 · 📋 340 - 46% open · ⏱️ 07.01.2021): ``` git clone https://github.com/facebookresearch/SlowFast ```
pycls (🥉14 · ⭐ 1.4K) - Codebase for Image Classification Research, written in PyTorch. MIT - [GitHub](https://github.com/facebookresearch/pycls) (👨‍💻 9 · 🔀 150 · 📦 2 · 📋 54 - 18% open · ⏱️ 14.01.2021): ``` git clone https://github.com/facebookresearch/pycls ```
Show 2 hidden projects... - glfw (🥈29 · ⭐ 7.2K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib - Pillow-SIMD (🥉23 · ⭐ 1.5K · 💤) - The friendly PIL fork. ❗️PIL

## Graph Data Back to top _Libraries for graph processing, clustering, embedding, and machine learning tasks._
networkx (🥇37 · ⭐ 8.5K) - Network Analysis in Python. BSD-3 - [GitHub](https://github.com/networkx/networkx) (👨‍💻 490 · 🔀 2.2K · 📥 51 · 📦 65K · 📋 2.6K - 10% open · ⏱️ 20.01.2021): ``` git clone https://github.com/networkx/networkx ``` - [PyPi](https://pypi.org/project/networkx) (📥 4.9M / month · 📦 21K · ⏱️ 22.08.2020): ``` pip install networkx ``` - [Conda](https://anaconda.org/conda-forge/networkx) (📥 2.9M · ⏱️ 23.08.2020): ``` conda install -c conda-forge networkx ```
PyTorch Geometric (🥇28 · ⭐ 10K) - Geometric Deep Learning Extension Library for PyTorch. MIT - [GitHub](https://github.com/rusty1s/pytorch_geometric) (👨‍💻 140 · 🔀 1.7K · 📋 1.8K - 37% open · ⏱️ 20.01.2021): ``` git clone https://github.com/rusty1s/pytorch_geometric ``` - [PyPi](https://pypi.org/project/torch-geometric) (📥 12K / month · 📦 24 · ⏱️ 27.11.2020): ``` pip install torch-geometric ```
dgl (🥇27 · ⭐ 6.5K) - Python package built to ease deep learning on graph, on top of existing.. Apache-2 - [GitHub](https://github.com/dmlc/dgl) (👨‍💻 100 · 🔀 1.3K · 📋 900 - 23% open · ⏱️ 21.01.2021): ``` git clone https://github.com/dmlc/dgl ``` - [PyPi](https://pypi.org/project/dgl) (📥 12K / month · 📦 30 · ⏱️ 20.01.2021): ``` pip install dgl ```
StellarGraph (🥈25 · ⭐ 1.7K) - StellarGraph - Machine Learning on Graphs. Apache-2 - [GitHub](https://github.com/stellargraph/stellargraph) (👨‍💻 29 · 🔀 250 · 📦 43 · 📋 910 - 23% open · ⏱️ 21.01.2021): ``` git clone https://github.com/stellargraph/stellargraph ``` - [PyPi](https://pypi.org/project/stellargraph) (📥 5.5K / month · 📦 2 · ⏱️ 25.06.2020): ``` pip install stellargraph ```
Spektral (🥈23 · ⭐ 1.6K) - Graph Neural Networks with Keras and Tensorflow 2. MIT - [GitHub](https://github.com/danielegrattarola/spektral) (👨‍💻 16 · 🔀 190 · 📦 26 · 📋 120 - 18% open · ⏱️ 21.01.2021): ``` git clone https://github.com/danielegrattarola/spektral ``` - [PyPi](https://pypi.org/project/spektral) (📥 1.6K / month · ⏱️ 07.01.2021): ``` pip install spektral ```
ogb (🥈22 · ⭐ 720) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT - [GitHub](https://github.com/snap-stanford/ogb) (👨‍💻 12 · 🔀 98 · 📦 43 · 📋 88 - 1% open · ⏱️ 11.01.2021): ``` git clone https://github.com/snap-stanford/ogb ``` - [PyPi](https://pypi.org/project/ogb) (📥 1.7K / month · ⏱️ 29.12.2020): ``` pip install ogb ```
Node2Vec (🥈22 · ⭐ 620) - Implementation of the node2vec algorithm. MIT - [GitHub](https://github.com/eliorc/node2vec) (👨‍💻 7 · 🔀 160 · 📦 110 · ⏱️ 09.01.2021): ``` git clone https://github.com/eliorc/node2vec ``` - [PyPi](https://pypi.org/project/node2vec) (📥 4.3K / month · 📦 10 · ⏱️ 09.01.2021): ``` pip install node2vec ``` - [Conda](https://anaconda.org/conda-forge/node2vec) (📥 15K · ⏱️ 25.04.2020): ``` conda install -c conda-forge node2vec ```
torch-cluster (🥈21 · ⭐ 320) - PyTorch Extension Library of Optimized Graph Cluster.. MIT - [GitHub](https://github.com/rusty1s/pytorch_cluster) (👨‍💻 17 · 🔀 67 · 📋 72 - 48% open · ⏱️ 03.01.2021): ``` git clone https://github.com/rusty1s/pytorch_cluster ``` - [PyPi](https://pypi.org/project/torch-cluster) (📥 2.6K / month · 📦 32 · ⏱️ 31.10.2020): ``` pip install torch-cluster ```
AmpliGraph (🥈20 · ⭐ 1.4K) - Python library for Representation Learning on Knowledge.. Apache-2 - [GitHub](https://github.com/Accenture/AmpliGraph) (👨‍💻 14 · 🔀 150 · 📦 9 · 📋 170 - 10% open · ⏱️ 25.08.2020): ``` git clone https://github.com/Accenture/AmpliGraph ``` - [PyPi](https://pypi.org/project/ampligraph) (📥 500 / month · ⏱️ 25.08.2020): ``` pip install ampligraph ```
graph-nets (🥉19 · ⭐ 4.8K) - Build Graph Nets in Tensorflow. Apache-2 - [GitHub](https://github.com/deepmind/graph_nets) (👨‍💻 10 · 🔀 720 · 📋 110 - 8% open · ⏱️ 04.12.2020): ``` git clone https://github.com/deepmind/graph_nets ``` - [PyPi](https://pypi.org/project/graph-nets) (📥 670 / month · 📦 7 · ⏱️ 29.01.2020): ``` pip install graph-nets ```
PyTorch-BigGraph (🥉19 · ⭐ 2.7K) - Generate embeddings from large-scale graph-structured.. BSD-3 - [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (👨‍💻 19 · 🔀 360 · 📥 100 · 📋 130 - 23% open · ⏱️ 19.01.2021): ``` git clone https://github.com/facebookresearch/PyTorch-BigGraph ``` - [PyPi](https://pypi.org/project/torchbiggraph) (📥 250 / month · 📦 4 · ⏱️ 01.05.2019): ``` pip install torchbiggraph ```
Paddle Graph Learning (🥉19 · ⭐ 880) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/PGL) (👨‍💻 17 · 🔀 120 · 📦 9 · 📋 43 - 34% open · ⏱️ 14.12.2020): ``` git clone https://github.com/PaddlePaddle/PGL ``` - [PyPi](https://pypi.org/project/pgl) (📥 410 / month · 📦 2 · ⏱️ 20.11.2020): ``` pip install pgl ```
PyKEEN (🥉19 · ⭐ 280) - A Python library for learning and evaluating knowledge graph embeddings. MIT - [GitHub](https://github.com/pykeen/pykeen) (👨‍💻 17 · 🔀 44 · 📥 73 · 📋 110 - 44% open · ⏱️ 21.01.2021): ``` git clone https://github.com/pykeen/pykeen ``` - [PyPi](https://pypi.org/project/pykeen) (📥 180 / month · 📦 1 · ⏱️ 20.01.2021): ``` pip install pykeen ```
DeepGraph (🥉18 · ⭐ 230) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 - [GitHub](https://github.com/deepgraph/deepgraph) (👨‍💻 2 · 🔀 33 · 📦 1 · 📋 12 - 58% open · ⏱️ 01.10.2020): ``` git clone https://github.com/deepgraph/deepgraph ``` - [PyPi](https://pypi.org/project/deepgraph) (📥 230 / month · ⏱️ 01.10.2020): ``` pip install deepgraph ``` - [Conda](https://anaconda.org/conda-forge/deepgraph) (📥 77K · ⏱️ 15.01.2021): ``` conda install -c conda-forge deepgraph ```
kglib (🥉17 · ⭐ 390) - Grakn Knowledge Graph Library (ML R&D). Apache-2 - [GitHub](https://github.com/graknlabs/kglib) (👨‍💻 7 · 🔀 70 · 📥 210 · 📋 59 - 16% open · ⏱️ 15.01.2021): ``` git clone https://github.com/graknlabs/kglib ``` - [PyPi](https://pypi.org/project/grakn-kglib) (📥 48 / month · ⏱️ 19.08.2020): ``` pip install grakn-kglib ```
pytorch_geometric_temporal (🥉16 · ⭐ 310) - A Temporal Extension Library for PyTorch Geometric. MIT - [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (👨‍💻 3 · 🔀 31 · 📋 16 - 6% open · ⏱️ 14.01.2021): ``` git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal ``` - [PyPi](https://pypi.org/project/torch-geometric-temporal) (📥 110 / month · ⏱️ 14.01.2021): ``` pip install torch-geometric-temporal ```
Euler (🥉14 · ⭐ 2.5K) - A distributed graph deep learning framework. Apache-2 - [GitHub](https://github.com/alibaba/euler) (👨‍💻 5 · 🔀 500 · 📋 300 - 67% open · ⏱️ 29.07.2020): ``` git clone https://github.com/alibaba/euler ``` - [PyPi](https://pypi.org/project/euler-gl) (📥 4 / month · ⏱️ 10.04.2019): ``` pip install euler-gl ```
GraphEmbedding (🥉14 · ⭐ 1.7K) - Implementation and experiments of graph embedding algorithms. MIT - [GitHub](https://github.com/shenweichen/GraphEmbedding) (👨‍💻 6 · 🔀 540 · 📦 7 · 📋 40 - 67% open · ⏱️ 18.10.2020): ``` git clone https://github.com/shenweichen/GraphEmbedding ```
AutoGL (🥉14 · ⭐ 570 · 🐣) - An autoML framework & toolkit for machine learning on graphs. MIT - [GitHub](https://github.com/THUMNLab/AutoGL) (👨‍💻 4 · 🔀 49 · 📋 5 - 60% open · ⏱️ 29.12.2020): ``` git clone https://github.com/THUMNLab/AutoGL ``` - [PyPi](https://pypi.org/project/auto-graph-learning) (📥 150 / month · ⏱️ 23.12.2020): ``` pip install auto-graph-learning ```
OpenKE (🥉13 · ⭐ 2.3K · 💤) - An Open-Source Package for Knowledge Embedding (KE). MIT - [GitHub](https://github.com/thunlp/OpenKE) (👨‍💻 10 · 🔀 740 · 📋 270 - 18% open · ⏱️ 08.04.2020): ``` git clone https://github.com/thunlp/OpenKE ```
GraphVite (🥉13 · ⭐ 840) - GraphVite: A General and High-performance Graph Embedding System. Apache-2 - [GitHub](https://github.com/DeepGraphLearning/graphvite) (👨‍💻 1 · 🔀 120 · 📋 78 - 32% open · ⏱️ 14.01.2021): ``` git clone https://github.com/DeepGraphLearning/graphvite ``` - [Conda](https://anaconda.org/milagraph/graphvite) (📥 3.4K · ⏱️ 19.03.2020): ``` conda install -c milagraph graphvite ```
Show 8 hidden projects... - igraph (🥇27 · ⭐ 760) - Python interface for igraph. ❗️GPL-2.0 - pygal (🥈26 · ⭐ 2.3K) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 - Karate Club (🥈21 · ⭐ 1.1K) - Karate Club: An API Oriented Open-source Python Framework for.. ❗️GPL-3.0 - DeepWalk (🥉19 · ⭐ 2.2K · 💤) - DeepWalk - Deep Learning for Graphs. ❗️GPL-3.0 - Sematch (🥉17 · ⭐ 340 · 💀) - semantic similarity framework for knowledge graph. Apache-2 - pyRDF2Vec (🥉15 · ⭐ 79 · ➕) - Python Implementation and Extension of RDF2Vec. MIT - GraphSAGE (🥉14 · ⭐ 2.1K · 💀) - Representation learning on large graphs using stochastic.. MIT - OpenNE (🥉14 · ⭐ 1.4K · 💀) - An Open-Source Package for Network Embedding (NE). MIT

## Audio Data Back to top _Libraries for audio analysis, manipulation, transformation, and extraction, as well as speech recognition and music generation tasks._
DeepSpeech (🥇31 · ⭐ 16K) - DeepSpeech is an open source embedded (offline, on-device).. MPL-2.0 - [GitHub](https://github.com/mozilla/DeepSpeech) (👨‍💻 150 · 🔀 3K · 📥 410K · 📦 380 · 📋 1.9K - 4% open · ⏱️ 20.01.2021): ``` git clone https://github.com/mozilla/DeepSpeech ``` - [PyPi](https://pypi.org/project/deepspeech) (📥 11K / month · 📦 29 · ⏱️ 19.12.2020): ``` pip install deepspeech ```
Magenta (🥇29 · ⭐ 16K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2 - [GitHub](https://github.com/magenta/magenta) (👨‍💻 140 · 🔀 3.3K · 📦 260 · 📋 830 - 35% open · ⏱️ 19.01.2021): ``` git clone https://github.com/magenta/magenta ``` - [PyPi](https://pypi.org/project/magenta) (📥 4.6K / month · 📦 35 · ⏱️ 12.11.2020): ``` pip install magenta ```
Pydub (🥇29 · ⭐ 5K) - Manipulate audio with a simple and easy high level interface. MIT - [GitHub](https://github.com/jiaaro/pydub) (👨‍💻 80 · 🔀 690 · 📦 5.7K · 📋 410 - 43% open · ⏱️ 18.01.2021): ``` git clone https://github.com/jiaaro/pydub ``` - [PyPi](https://pypi.org/project/pydub) (📥 110K / month · 📦 1.4K · ⏱️ 03.06.2020): ``` pip install pydub ``` - [Conda](https://anaconda.org/conda-forge/pydub) (📥 12K · ⏱️ 02.02.2019): ``` conda install -c conda-forge pydub ```
torchaudio (🥇29 · ⭐ 1.2K) - Data manipulation and transformation for audio signal.. BSD-2 - [GitHub](https://github.com/pytorch/audio) (👨‍💻 86 · 🔀 260 · 📦 1.2K · 📋 400 - 38% open · ⏱️ 21.01.2021): ``` git clone https://github.com/pytorch/audio ``` - [PyPi](https://pypi.org/project/torchaudio) (📥 66K / month · 📦 9 · ⏱️ 27.10.2020): ``` pip install torchaudio ```
audioread (🥈27 · ⭐ 360) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.. MIT - [GitHub](https://github.com/beetbox/audioread) (👨‍💻 20 · 🔀 83 · 📦 4K · 📋 75 - 41% open · ⏱️ 20.10.2020): ``` git clone https://github.com/beetbox/audioread ``` - [PyPi](https://pypi.org/project/audioread) (📥 250K / month · 📦 590 · ⏱️ 20.10.2020): ``` pip install audioread ``` - [Conda](https://anaconda.org/conda-forge/audioread) (📥 190K · ⏱️ 08.12.2020): ``` conda install -c conda-forge audioread ```
librosa (🥈26 · ⭐ 4.2K) - Python library for audio and music analysis. ISC - [GitHub](https://github.com/librosa/librosa) (👨‍💻 80 · 🔀 680 · 📦 9K · 📋 830 - 6% open · ⏱️ 11.09.2020): ``` git clone https://github.com/librosa/librosa ``` - [PyPi](https://pypi.org/project/librosa) (📥 270K / month · 📦 1.8K · ⏱️ 22.07.2020): ``` pip install librosa ``` - [Conda](https://anaconda.org/conda-forge/librosa) (📥 240K · ⏱️ 22.07.2020): ``` conda install -c conda-forge librosa ```
spleeter (🥈25 · ⭐ 15K) - Deezer source separation library including pretrained models. MIT - [GitHub](https://github.com/deezer/spleeter) (👨‍💻 17 · 🔀 1.6K · 📥 900K · 📋 500 - 18% open · ⏱️ 15.01.2021): ``` git clone https://github.com/deezer/spleeter ``` - [PyPi](https://pypi.org/project/spleeter) (📥 5.7K / month · ⏱️ 08.01.2021): ``` pip install spleeter ``` - [Conda](https://anaconda.org/conda-forge/spleeter) (📥 41K · ⏱️ 30.06.2020): ``` conda install -c conda-forge spleeter ```
pyAudioAnalysis (🥈25 · ⭐ 3.7K) - Python Audio Analysis Library: Feature Extraction,.. Apache-2 - [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (👨‍💻 23 · 🔀 960 · 📦 180 · 📋 270 - 61% open · ⏱️ 04.01.2021): ``` git clone https://github.com/tyiannak/pyAudioAnalysis ``` - [PyPi](https://pypi.org/project/pyAudioAnalysis) (📥 5.4K / month · 📦 11 · ⏱️ 29.09.2020): ``` pip install pyAudioAnalysis ```
python-soundfile (🥈25 · ⭐ 360) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3 - [GitHub](https://github.com/bastibe/python-soundfile) (👨‍💻 19 · 🔀 41 · 📥 2K · 📦 5.3K · 📋 140 - 39% open · ⏱️ 01.12.2020): ``` git clone https://github.com/bastibe/python-soundfile ``` - [PyPi](https://pypi.org/project/soundfile) (📥 330K / month · 📦 740 · ⏱️ 19.04.2018): ``` pip install soundfile ```
espnet (🥉24 · ⭐ 3.3K · 📉) - End-to-End Speech Processing Toolkit. Apache-2 - [GitHub](https://github.com/espnet/espnet) (👨‍💻 140 · 🔀 1K · 📥 59 · 📦 4 · 📋 1.2K - 10% open · ⏱️ 19.01.2021): ``` git clone https://github.com/espnet/espnet ``` - [PyPi](https://pypi.org/project/espnet) (📥 1.1K / month · ⏱️ 15.01.2021): ``` pip install espnet ```
python_speech_features (🥉24 · ⭐ 1.8K) - This library provides common speech features for ASR.. MIT - [GitHub](https://github.com/jameslyons/python_speech_features) (👨‍💻 18 · 🔀 540 · 📋 72 - 31% open · ⏱️ 31.12.2020): ``` git clone https://github.com/jameslyons/python_speech_features ``` - [PyPi](https://pypi.org/project/python_speech_features) (📥 50K / month · 📦 300 · ⏱️ 16.08.2017): ``` pip install python_speech_features ```
tinytag (🥉23 · ⭐ 430) - Read music meta data and length of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA and.. MIT - [GitHub](https://github.com/devsnd/tinytag) (👨‍💻 18 · 🔀 78 · 📦 300 · 📋 74 - 18% open · ⏱️ 11.11.2020): ``` git clone https://github.com/devsnd/tinytag ``` - [PyPi](https://pypi.org/project/tinytag) (📥 2.6K / month · 📦 96 · ⏱️ 05.11.2020): ``` pip install tinytag ```
DDSP (🥉22 · ⭐ 1.7K) - DDSP: Differentiable Digital Signal Processing. Apache-2 - [GitHub](https://github.com/magenta/ddsp) (👨‍💻 24 · 🔀 160 · 📦 5 · 📋 100 - 12% open · ⏱️ 20.01.2021): ``` git clone https://github.com/magenta/ddsp ``` - [PyPi](https://pypi.org/project/ddsp) (📥 940 / month · ⏱️ 14.01.2021): ``` pip install ddsp ```
kapre (🥉22 · ⭐ 700) - kapre: Keras Audio Preprocessors. MIT - [GitHub](https://github.com/keunwoochoi/kapre) (👨‍💻 13 · 🔀 130 · 📥 7 · 📦 450 · 📋 85 - 5% open · ⏱️ 16.11.2020): ``` git clone https://github.com/keunwoochoi/kapre ``` - [PyPi](https://pypi.org/project/kapre) (📥 840 / month · 📦 11 · ⏱️ 29.09.2020): ``` pip install kapre ```
Porcupine (🥉21 · ⭐ 2.3K) - On-device wake word detection powered by deep learning. Apache-2 - [GitHub](https://github.com/Picovoice/porcupine) (👨‍💻 25 · 🔀 330 · 📦 4 · 📋 280 - 2% open · ⏱️ 19.01.2021): ``` git clone https://github.com/Picovoice/Porcupine ``` - [PyPi](https://pypi.org/project/pvporcupine) (📥 780 / month · ⏱️ 02.10.2020): ``` pip install pvporcupine ```
Dejavu (🥉20 · ⭐ 5.3K · 💤) - Audio fingerprinting and recognition in Python. MIT - [GitHub](https://github.com/worldveil/dejavu) (👨‍💻 23 · 🔀 1.2K · 📦 16 · 📋 210 - 39% open · ⏱️ 03.06.2020): ``` git clone https://github.com/worldveil/dejavu ``` - [PyPi](https://pypi.org/project/PyDejavu) (📥 81 / month · 📦 1 · ⏱️ 19.04.2015): ``` pip install PyDejavu ```
TTS (🥉17 · ⭐ 3.1K) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 - [GitHub](https://github.com/mozilla/TTS) (👨‍💻 49 · 🔀 630 · 📋 440 - 5% open · ⏱️ 18.01.2021): ``` git clone https://github.com/mozilla/TTS ```
Muda (🥉16 · ⭐ 170) - A library for augmenting annotated audio data. ISC - [GitHub](https://github.com/bmcfee/muda) (👨‍💻 6 · 🔀 30 · 📦 8 · 📋 49 - 10% open · ⏱️ 20.07.2020): ``` git clone https://github.com/bmcfee/muda ``` - [PyPi](https://pypi.org/project/muda) (📥 60 / month · 📦 1 · ⏱️ 15.11.2019): ``` pip install muda ```
Julius (🥉13 · ⭐ 170 · 🐣) - Fast PyTorch based DSP for audio and 1D signals. MIT - [GitHub](https://github.com/adefossez/julius) (👨‍💻 2 · 🔀 6 · 📦 2 · ⏱️ 10.12.2020): ``` git clone https://github.com/adefossez/julius ``` - [PyPi](https://pypi.org/project/julius) (📥 180 / month · ⏱️ 25.11.2020): ``` pip install julius ```
Show 4 hidden projects... - SpeechRecognition (🥇30 · ⭐ 5.4K · 💀) - Speech recognition module for Python, supporting.. BSD-3 - aubio (🥈26 · ⭐ 2K) - a library for audio and music analysis. ❗️GPL-3.0 - Essentia (🥉22 · ⭐ 1.7K · 📉) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 - Madmom (🥉20 · ⭐ 710 · 💀) - Python audio and music signal processing library. BSD-3

## Geospatial Data Back to top _Libraries to load, process, analyze, and write geographic data as well as libraries for spatial analysis, map visualization, and geocoding._
pydeck (🥇33 · ⭐ 8.3K · ➕) - WebGL2 powered geospatial visualization layers. MIT - [GitHub](https://github.com/visgl/deck.gl) (👨‍💻 150 · 🔀 1.5K · 📦 1.4K · 📋 2K - 5% open · ⏱️ 20.01.2021): ``` git clone https://github.com/visgl/deck.gl ``` - [PyPi](https://pypi.org/project/pydeck) (📥 99K / month · 📦 2 · ⏱️ 26.10.2020): ``` pip install pydeck ``` - [Conda](https://anaconda.org/conda-forge/pydeck) (📥 12K · ⏱️ 26.10.2020): ``` conda install -c conda-forge pydeck ``` - [NPM](https://www.npmjs.com/package/deck.gl) (📥 130K / month · 📦 560 · ⏱️ 11.01.2021): ``` npm install deck.gl ```
geopy (🥇33 · ⭐ 3.2K) - Geocoding library for Python. MIT - [GitHub](https://github.com/geopy/geopy) (👨‍💻 120 · 🔀 540 · 📦 16K · 📋 240 - 10% open · ⏱️ 27.12.2020): ``` git clone https://github.com/geopy/geopy ``` - [PyPi](https://pypi.org/project/geopy) (📥 3.8M / month · 📦 7.2K · ⏱️ 27.12.2020): ``` pip install geopy ``` - [Conda](https://anaconda.org/conda-forge/geopy) (📥 500K · ⏱️ 27.12.2020): ``` conda install -c conda-forge geopy ```
Shapely (🥇33 · ⭐ 2.1K) - Manipulation and analysis of geometric objects. BSD-3 - [GitHub](https://github.com/Toblerity/Shapely) (👨‍💻 100 · 🔀 370 · 📦 16K · 📋 700 - 19% open · ⏱️ 15.12.2020): ``` git clone https://github.com/Toblerity/Shapely ``` - [PyPi](https://pypi.org/project/shapely) (📥 1.9M / month · 📦 5.5K · ⏱️ 20.08.2020): ``` pip install shapely ``` - [Conda](https://anaconda.org/conda-forge/shapely) (📥 2M · ⏱️ 13.10.2020): ``` conda install -c conda-forge shapely ```
folium (🥈32 · ⭐ 5.1K) - Python Data. Leaflet.js Maps. MIT - [GitHub](https://github.com/python-visualization/folium) (👨‍💻 120 · 🔀 1.9K · 📦 8.1K · 📋 830 - 17% open · ⏱️ 18.01.2021): ``` git clone https://github.com/python-visualization/folium ``` - [PyPi](https://pypi.org/project/folium) (📥 200K / month · 📦 970 · ⏱️ 18.01.2021): ``` pip install folium ``` - [Conda](https://anaconda.org/conda-forge/folium) (📥 320K · ⏱️ 06.01.2021): ``` conda install -c conda-forge folium ```
GeoPandas (🥈30 · ⭐ 2.4K) - Python tools for geographic data. BSD-3 - [GitHub](https://github.com/geopandas/geopandas) (👨‍💻 130 · 🔀 530 · 📥 840 · 📦 7K · 📋 960 - 30% open · ⏱️ 14.01.2021): ``` git clone https://github.com/geopandas/geopandas ``` - [PyPi](https://pypi.org/project/geopandas) (📥 380K / month · 📦 1.2K · ⏱️ 24.06.2020): ``` pip install geopandas ``` - [Conda](https://anaconda.org/conda-forge/geopandas) (📥 820K · ⏱️ 16.07.2020): ``` conda install -c conda-forge geopandas ```
Rasterio (🥈30 · ⭐ 1.4K) - Rasterio reads and writes geospatial raster datasets. BSD-3 - [GitHub](https://github.com/mapbox/rasterio) (👨‍💻 110 · 🔀 390 · 📥 700 · 📦 2.6K · 📋 1.3K - 10% open · ⏱️ 20.01.2021): ``` git clone https://github.com/mapbox/rasterio ``` - [PyPi](https://pypi.org/project/rasterio) (📥 120K / month · 📦 850 · ⏱️ 21.01.2021): ``` pip install rasterio ``` - [Conda](https://anaconda.org/conda-forge/rasterio) (📥 850K · ⏱️ 30.10.2020): ``` conda install -c conda-forge rasterio ```
Fiona (🥈30 · ⭐ 770) - Fiona reads and writes geographic data files. BSD-3 - [GitHub](https://github.com/Toblerity/Fiona) (👨‍💻 65 · 🔀 160 · 📦 4.9K · 📋 620 - 11% open · ⏱️ 30.11.2020): ``` git clone https://github.com/Toblerity/Fiona ``` - [PyPi](https://pypi.org/project/fiona) (📥 430K / month · 📦 1.2K · ⏱️ 17.11.2020): ``` pip install fiona ``` - [Conda](https://anaconda.org/conda-forge/fiona) (📥 1.6M · ⏱️ 17.11.2020): ``` conda install -c conda-forge fiona ```
pyproj (🥈29 · ⭐ 560) - Python interface to PROJ (cartographic projections and coordinate.. MIT - [GitHub](https://github.com/pyproj4/pyproj) (👨‍💻 39 · 🔀 150 · 📦 8.2K · 📋 380 - 1% open · ⏱️ 08.01.2021): ``` git clone https://github.com/pyproj4/pyproj ``` - [PyPi](https://pypi.org/project/pyproj) (📥 1M / month · 📦 2.5K · ⏱️ 05.11.2020): ``` pip install pyproj ``` - [Conda](https://anaconda.org/conda-forge/pyproj) (📥 1.9M · ⏱️ 06.11.2020): ``` conda install -c conda-forge pyproj ```
ipyleaflet (🥉27 · ⭐ 1.1K) - A Jupyter - Leaflet.js bridge. MIT - [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (👨‍💻 63 · 🔀 280 · 📦 670 · 📋 380 - 34% open · ⏱️ 18.01.2021): ``` git clone https://github.com/jupyter-widgets/ipyleaflet ``` - [PyPi](https://pypi.org/project/ipyleaflet) (📥 12K / month · 📦 98 · ⏱️ 05.01.2021): ``` pip install ipyleaflet ``` - [Conda](https://anaconda.org/conda-forge/ipyleaflet) (📥 580K · ⏱️ 16.01.2021): ``` conda install -c conda-forge ipyleaflet ``` - [NPM](https://www.npmjs.com/package/jupyter-leaflet) (📥 130K / month · 📦 2 · ⏱️ 05.01.2021): ``` npm install jupyter-leaflet ```
geojson (🥉27 · ⭐ 590) - Python bindings and utilities for GeoJSON. BSD-3 - [GitHub](https://github.com/jazzband/geojson) (👨‍💻 44 · 🔀 78 · 📦 5.6K · 📋 68 - 26% open · ⏱️ 25.11.2020): ``` git clone https://github.com/jazzband/geojson ``` - [PyPi](https://pypi.org/project/geojson) (📥 370K / month · 📦 1.6K · ⏱️ 09.08.2019): ``` pip install geojson ``` - [Conda](https://anaconda.org/conda-forge/geojson) (📥 360K · ⏱️ 11.08.2019): ``` conda install -c conda-forge geojson ```
ArcGIS API (🥉25 · ⭐ 940) - Documentation and samples for ArcGIS API for Python. Apache-2 - [GitHub](https://github.com/Esri/arcgis-python-api) (👨‍💻 60 · 🔀 680 · 📋 320 - 38% open · ⏱️ 16.01.2021): ``` git clone https://github.com/Esri/arcgis-python-api ``` - [PyPi](https://pypi.org/project/arcgis) (📥 19K / month · 📦 10 · ⏱️ 30.11.2020): ``` pip install arcgis ``` - [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook) (📥 3.7K · ⭐ 29 · ⏱️ 06.03.2020): ``` docker pull esridocker/arcgis-api-python-notebook ```
PySAL (🥉24 · ⭐ 810) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3 - [GitHub](https://github.com/pysal/pysal) (👨‍💻 70 · 🔀 240 · 📋 640 - 9% open · ⏱️ 20.01.2021): ``` git clone https://github.com/pysal/pysal ``` - [PyPi](https://pypi.org/project/pysal) (📥 9.3K / month · 📦 18 · ⏱️ 30.07.2020): ``` pip install pysal ``` - [Conda](https://anaconda.org/conda-forge/pysal) (📥 400K · ⏱️ 30.07.2020): ``` conda install -c conda-forge pysal ```
GeoViews (🥉24 · ⭐ 330) - Simple, concise geographical visualization in Python. BSD-3 - [GitHub](https://github.com/holoviz/geoviews) (👨‍💻 21 · 🔀 60 · 📦 190 · 📋 250 - 31% open · ⏱️ 21.09.2020): ``` git clone https://github.com/holoviz/geoviews ``` - [PyPi](https://pypi.org/project/geoviews) (📥 1.1K / month · 📦 10 · ⏱️ 30.03.2020): ``` pip install geoviews ``` - [Conda](https://anaconda.org/conda-forge/geoviews) (📥 54K · ⏱️ 23.09.2020): ``` conda install -c conda-forge geoviews ```
EarthPy (🥉22 · ⭐ 220) - A package built to support working with spatial data using open source.. BSD-3 - [GitHub](https://github.com/earthlab/earthpy) (👨‍💻 38 · 🔀 96 · 📦 72 · 📋 220 - 11% open · ⏱️ 03.12.2020): ``` git clone https://github.com/earthlab/earthpy ``` - [PyPi](https://pypi.org/project/earthpy) (📥 1.4K / month · 📦 6 · ⏱️ 18.06.2020): ``` pip install earthpy ``` - [Conda](https://anaconda.org/conda-forge/earthpy) (📥 26K · ⏱️ 19.06.2020): ``` conda install -c conda-forge earthpy ```
pymap3d (🥉21 · ⭐ 170) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. BSD-2 - [GitHub](https://github.com/geospace-code/pymap3d) (👨‍💻 8 · 🔀 55 · 📋 24 - 8% open · ⏱️ 23.12.2020): ``` git clone https://github.com/geospace-code/pymap3d ``` - [PyPi](https://pypi.org/project/pymap3d) (📥 8.4K / month · 📦 3 · ⏱️ 21.09.2020): ``` pip install pymap3d ``` - [Conda](https://anaconda.org/conda-forge/pymap3d) (📥 6K · ⏱️ 24.09.2020): ``` conda install -c conda-forge pymap3d ```
Show 7 hidden projects... - Geocoder (🥈29 · ⭐ 1.3K · 💀) - Python Geocoder. MIT - Cartopy (🥉27 · ⭐ 1.4K) - Rasterio reads and writes geospatial raster datasets. ❗️LGPL-3.0 - Satpy (🥉25 · ⭐ 670) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 - gmaps (🥉21 · ⭐ 700 · 💀) - Google maps for Jupyter notebooks. BSD-3 - Sentinelsat (🥉21 · ⭐ 540) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 - Mapbox GL (🥉20 · ⭐ 550 · 💀) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT - geoplotlib (🥉19 · ⭐ 890 · 💀) - python toolbox for visualizing geographical data and making maps. MIT

## Financial Data Back to top _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, technical analysis, and other tasks on financial data._
zipline (🥇30 · ⭐ 13K) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2 - [GitHub](https://github.com/quantopian/zipline) (👨‍💻 150 · 🔀 3.7K · 📦 670 · 📋 970 - 33% open · ⏱️ 14.10.2020): ``` git clone https://github.com/quantopian/zipline ``` - [PyPi](https://pypi.org/project/zipline) (📥 4.4K / month · 📦 160 · ⏱️ 05.10.2020): ``` pip install zipline ```
yfinance (🥇29 · ⭐ 3.9K) - Yahoo! Finance market data downloader (+faster Pandas Datareader). Apache-2 - [GitHub](https://github.com/ranaroussi/yfinance) (👨‍💻 28 · 🔀 990 · 📦 2.7K · 📋 470 - 63% open · ⏱️ 18.01.2021): ``` git clone https://github.com/ranaroussi/yfinance ``` - [PyPi](https://pypi.org/project/yfinance) (📥 98K / month · 📦 26 · ⏱️ 05.10.2020): ``` pip install yfinance ``` - [Conda](https://anaconda.org/ranaroussi/yfinance) (📥 31K · ⏱️ 27.12.2019): ``` conda install -c ranaroussi yfinance ```
Alpha Vantage (🥇27 · ⭐ 3K) - A python wrapper for Alpha Vantage API for financial data. MIT - [GitHub](https://github.com/RomelTorres/alpha_vantage) (👨‍💻 36 · 🔀 550 · 📋 220 - 7% open · ⏱️ 21.12.2020): ``` git clone https://github.com/RomelTorres/alpha_vantage ``` - [PyPi](https://pypi.org/project/alpha_vantage) (📥 18K / month · 📦 200 · ⏱️ 26.08.2018): ``` pip install alpha_vantage ```
ta (🥇27 · ⭐ 1.7K) - Technical Analysis Library using Pandas and Numpy. MIT - [GitHub](https://github.com/bukosabino/ta) (👨‍💻 23 · 🔀 450 · 📦 410 · 📋 140 - 42% open · ⏱️ 29.11.2020): ``` git clone https://github.com/bukosabino/ta ``` - [PyPi](https://pypi.org/project/ta) (📥 27K / month · 📦 6 · ⏱️ 29.11.2020): ``` pip install ta ```
pyfolio (🥈25 · ⭐ 3.4K) - Portfolio and risk analytics in Python. Apache-2 - [GitHub](https://github.com/quantopian/pyfolio) (👨‍💻 55 · 🔀 1.1K · 📦 190 · 📋 390 - 31% open · ⏱️ 15.07.2020): ``` git clone https://github.com/quantopian/pyfolio ``` - [PyPi](https://pypi.org/project/pyfolio) (📥 6.1K / month · 📦 54 · ⏱️ 15.04.2019): ``` pip install pyfolio ``` - [Conda](https://anaconda.org/conda-forge/pyfolio) (📥 5.5K · ⏱️ 16.05.2020): ``` conda install -c conda-forge pyfolio ```
empyrical (🥈25 · ⭐ 700) - Common financial risk and performance metrics. Used by zipline and.. Apache-2 - [GitHub](https://github.com/quantopian/empyrical) (👨‍💻 22 · 🔀 220 · 📦 500 · 📋 53 - 50% open · ⏱️ 14.10.2020): ``` git clone https://github.com/quantopian/empyrical ``` - [PyPi](https://pypi.org/project/empyrical) (📥 24K / month · 📦 220 · ⏱️ 13.10.2020): ``` pip install empyrical ``` - [Conda](https://anaconda.org/conda-forge/empyrical) (📥 9.2K · ⏱️ 14.10.2020): ``` conda install -c conda-forge empyrical ```
Alphalens (🥈24 · ⭐ 1.7K · 💤) - Performance analysis of predictive (alpha) stock factors. Apache-2 - [GitHub](https://github.com/quantopian/alphalens) (👨‍💻 25 · 🔀 630 · 📦 350 · 📋 180 - 20% open · ⏱️ 27.04.2020): ``` git clone https://github.com/quantopian/alphalens ``` - [PyPi](https://pypi.org/project/alphalens) (📥 2K / month · 📦 14 · ⏱️ 27.04.2020): ``` pip install alphalens ``` - [Conda](https://anaconda.org/conda-forge/alphalens) (📥 10K · ⏱️ 16.05.2020): ``` conda install -c conda-forge alphalens ```
IB-insync (🥈24 · ⭐ 1.2K) - Python sync/async framework for Interactive Brokers API. BSD-2 - [GitHub](https://github.com/erdewit/ib_insync) (👨‍💻 25 · 🔀 380 · 📋 280 - 1% open · ⏱️ 12.01.2021): ``` git clone https://github.com/erdewit/ib_insync ``` - [PyPi](https://pypi.org/project/ib_insync) (📥 2.8K / month · 📦 12 · ⏱️ 03.11.2020): ``` pip install ib_insync ``` - [Conda](https://anaconda.org/conda-forge/ib-insync) (📥 7.1K · ⏱️ 07.11.2020): ``` conda install -c conda-forge ib-insync ```
ffn (🥈24 · ⭐ 750) - ffn - a financial function library for Python. MIT - [GitHub](https://github.com/pmorissette/ffn) (👨‍💻 23 · 🔀 170 · 📦 96 · 📋 79 - 20% open · ⏱️ 16.01.2021): ``` git clone https://github.com/pmorissette/ffn ``` - [PyPi](https://pypi.org/project/ffn) (📥 10K / month · 📦 16 · ⏱️ 28.05.2018): ``` pip install ffn ```
Enigma Catalyst (🥉23 · ⭐ 1.9K) - An Algorithmic Trading Library for Crypto-Assets in Python. Apache-2 - [GitHub](https://github.com/enigmampc/catalyst) (👨‍💻 140 · 🔀 590 · 📦 20 · 📋 500 - 26% open · ⏱️ 28.12.2020): ``` git clone https://github.com/enigmampc/catalyst ``` - [PyPi](https://pypi.org/project/enigma-catalyst) (📥 320 / month · ⏱️ 11.11.2018): ``` pip install enigma-catalyst ```
stockstats (🥉23 · ⭐ 700) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3 - [GitHub](https://github.com/jealous/stockstats) (👨‍💻 7 · 🔀 190 · 📦 160 · 📋 59 - 49% open · ⏱️ 17.10.2020): ``` git clone https://github.com/jealous/stockstats ``` - [PyPi](https://pypi.org/project/stockstats) (📥 26K / month · 📦 24 · ⏱️ 17.10.2020): ``` pip install stockstats ```
bt (🥉22 · ⭐ 930) - bt - flexible backtesting for Python. MIT - [GitHub](https://github.com/pmorissette/bt) (👨‍💻 20 · 🔀 250 · 📦 43 · 📋 220 - 24% open · ⏱️ 16.01.2021): ``` git clone https://github.com/pmorissette/bt ``` - [PyPi](https://pypi.org/project/bt) (📥 3.2K / month · 📦 20 · ⏱️ 28.05.2018): ``` pip install bt ```
TensorTrade (🥉21 · ⭐ 2.2K) - An open source reinforcement learning framework for training,.. Apache-2 - [GitHub](https://github.com/tensortrade-org/tensortrade) (👨‍💻 46 · 🔀 580 · 📦 10 · 📋 150 - 21% open · ⏱️ 06.01.2021): ``` git clone https://github.com/tensortrade-org/tensortrade ``` - [PyPi](https://pypi.org/project/tensortrade) (📥 1K / month · 📦 1 · ⏱️ 24.08.2020): ``` pip install tensortrade ```
finmarketpy (🥉20 · ⭐ 2.4K) - Python library for backtesting trading strategies & analyzing.. Apache-2 - [GitHub](https://github.com/cuemacro/finmarketpy) (👨‍💻 14 · 🔀 410 · 📥 39 · 📦 3 · 📋 24 - 87% open · ⏱️ 17.01.2021): ``` git clone https://github.com/cuemacro/finmarketpy ``` - [PyPi](https://pypi.org/project/finmarketpy) (📥 65 / month · ⏱️ 20.10.2020): ``` pip install finmarketpy ```
Qlib (🥉19 · ⭐ 3.7K · 🐣) - Qlib is an AI-oriented quantitative investment platform, which aims.. MIT - [GitHub](https://github.com/microsoft/qlib) (👨‍💻 27 · 🔀 560 · 📥 190 · 📋 100 - 52% open · ⏱️ 20.01.2021): ``` git clone https://github.com/microsoft/qlib ``` - [PyPi](https://pypi.org/project/pyqlib) (📥 1.9K / month · ⏱️ 12.12.2020): ``` pip install pyqlib ```
tf-quant-finance (🥉19 · ⭐ 2.2K) - High-performance TensorFlow library for quantitative.. Apache-2 - [GitHub](https://github.com/google/tf-quant-finance) (👨‍💻 30 · 🔀 280 · 📦 4 · 📋 21 - 52% open · ⏱️ 20.01.2021): ``` git clone https://github.com/google/tf-quant-finance ``` - [PyPi](https://pypi.org/project/tf-quant-finance) (📥 120 / month · ⏱️ 18.09.2020): ``` pip install tf-quant-finance ```
Crypto Signals (🥉18 · ⭐ 2.4K) - Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis.. MIT - [GitHub](https://github.com/CryptoSignal/Crypto-Signal) (👨‍💻 25 · 🔀 640 · 📋 230 - 18% open · ⏱️ 03.09.2020): ``` git clone https://github.com/CryptoSignal/crypto-signal ``` - [Docker Hub](https://hub.docker.com/r/shadowreaver/crypto-signal) (📥 41K · ⭐ 8 · ⏱️ 03.09.2020): ``` docker pull shadowreaver/crypto-signal ```
Show 6 hidden projects... - backtrader (🥈26 · ⭐ 5.5K) - Python Backtesting library for trading strategies. ❗️GPL-3.0 - PyAlgoTrade (🥉23 · ⭐ 3.1K · 💀) - Python Algorithmic Trading Library. Apache-2 - arch (🥉23 · ⭐ 640) - ARCH models in Python. ❗️NCSA - FinTA (🥉22 · ⭐ 800) - Common financial technical indicators implemented in Pandas. ❗️LGPL-3.0 - Backtesting.py (🥉17 · ⭐ 930) - Backtest trading strategies in Python. ❗️AGPL-3.0 - surpriver (🥉11 · ⭐ 1K · 🐣) - Find big moving stocks before they move using machine learning.. ❗️GPL-3.0

## Time Series Data Back to top _Libraries for forecasting, anomaly detection, feature extraction, and machine learning on time-series and sequential data._
Prophet (🥇30 · ⭐ 12K) - Tool for producing high quality forecasts for time series data that has.. MIT - [GitHub](https://github.com/facebook/prophet) (👨‍💻 120 · 🔀 3.4K · 📥 530 · 📋 1.5K - 4% open · ⏱️ 14.01.2021): ``` git clone https://github.com/facebook/prophet ``` - [PyPi](https://pypi.org/project/fbprophet) (📥 570K / month · 📦 150 · ⏱️ 05.09.2020): ``` pip install fbprophet ```
tslearn (🥇28 · ⭐ 1.4K · 📈) - A machine learning toolkit dedicated to time-series data. BSD-2 - [GitHub](https://github.com/tslearn-team/tslearn) (👨‍💻 28 · 🔀 220 · 📦 180 · 📋 220 - 26% open · ⏱️ 08.01.2021): ``` git clone https://github.com/tslearn-team/tslearn ``` - [PyPi](https://pypi.org/project/tslearn) (📥 64K / month · 📦 11 · ⏱️ 18.06.2020): ``` pip install tslearn ``` - [Conda](https://anaconda.org/conda-forge/tslearn) (📥 180K · ⏱️ 19.06.2020): ``` conda install -c conda-forge tslearn ```
tsfresh (🥈27 · ⭐ 5.3K) - Automatic extraction of relevant features from time series:. MIT - [GitHub](https://github.com/blue-yonder/tsfresh) (👨‍💻 71 · 🔀 840 · 📋 430 - 7% open · ⏱️ 12.01.2021): ``` git clone https://github.com/blue-yonder/tsfresh ``` - [PyPi](https://pypi.org/project/tsfresh) (📥 160K / month · 📦 66 · ⏱️ 09.09.2020): ``` pip install tsfresh ``` - [Conda](https://anaconda.org/conda-forge/tsfresh) (📥 26K · ⏱️ 10.09.2020): ``` conda install -c conda-forge tsfresh ```
sktime (🥈26 · ⭐ 3.5K) - A unified framework for machine learning with time series. BSD-3 - [GitHub](https://github.com/alan-turing-institute/sktime) (👨‍💻 73 · 🔀 420 · 📥 41 · 📦 94 · 📋 320 - 31% open · ⏱️ 20.01.2021): ``` git clone https://github.com/alan-turing-institute/sktime ``` - [PyPi](https://pypi.org/project/sktime) (📥 7.6K / month · ⏱️ 29.12.2020): ``` pip install sktime ```
pmdarima (🥈26 · ⭐ 800) - A statistical library designed to fill the void in Python's time series.. MIT - [GitHub](https://github.com/alkaline-ml/pmdarima) (👨‍💻 16 · 🔀 150 · 📦 690 · 📋 220 - 7% open · ⏱️ 20.01.2021): ``` git clone https://github.com/alkaline-ml/pmdarima ``` - [PyPi](https://pypi.org/project/pmdarima) (📥 190K / month · 📦 12 · ⏱️ 02.12.2020): ``` pip install pmdarima ```
Streamz (🥈24 · ⭐ 900) - Real-time stream processing for python. BSD-3 - [GitHub](https://github.com/python-streamz/streamz) (👨‍💻 38 · 🔀 110 · 📦 180 · 📋 220 - 41% open · ⏱️ 14.01.2021): ``` git clone https://github.com/python-streamz/streamz ``` - [PyPi](https://pypi.org/project/streamz) (📥 1.9K / month · 📦 16 · ⏱️ 02.11.2020): ``` pip install streamz ``` - [Conda](https://anaconda.org/conda-forge/streamz) (📥 110K · ⏱️ 15.01.2021): ``` conda install -c conda-forge streamz ```
GluonTS (🥈23 · ⭐ 1.7K) - Probabilistic time series modeling in Python. Apache-2 - [GitHub](https://github.com/awslabs/gluon-ts) (👨‍💻 67 · 🔀 360 · 📋 520 - 34% open · ⏱️ 19.01.2021): ``` git clone https://github.com/awslabs/gluon-ts ``` - [PyPi](https://pypi.org/project/gluonts) (📥 19K / month · ⏱️ 08.12.2020): ``` pip install gluonts ```
STUMPY (🥉22 · ⭐ 1.6K) - STUMPY is a powerful and scalable Python library for computing a Matrix.. BSD-3 - [GitHub](https://github.com/TDAmeritrade/stumpy) (👨‍💻 20 · 🔀 160 · 📋 210 - 13% open · ⏱️ 21.01.2021): ``` git clone https://github.com/TDAmeritrade/stumpy ``` - [PyPi](https://pypi.org/project/stumpy) (📥 14K / month · ⏱️ 20.01.2021): ``` pip install stumpy ``` - [Conda](https://anaconda.org/conda-forge/stumpy) (📥 15K · ⏱️ 20.01.2021): ``` conda install -c conda-forge stumpy ```
Darts (🥉22 · ⭐ 700) - A python library for easy manipulation and forecasting of time series. Apache-2 - [GitHub](https://github.com/unit8co/darts) (👨‍💻 23 · 🔀 85 · 📦 11 · 📋 59 - 30% open · ⏱️ 09.11.2020): ``` git clone https://github.com/unit8co/darts ``` - [PyPi](https://pypi.org/project/u8darts) (📥 1.6K / month · ⏱️ 09.11.2020): ``` pip install u8darts ``` - [Docker Hub](https://hub.docker.com/r/unit8/darts) (📥 75 · ⏱️ 06.10.2020): ``` docker pull unit8/darts ```
pyts (🥉20 · ⭐ 850 · 💤) - A Python package for time series classification. BSD-3 - [GitHub](https://github.com/johannfaouzi/pyts) (👨‍💻 7 · 🔀 92 · 📦 80 · 📋 42 - 54% open · ⏱️ 30.04.2020): ``` git clone https://github.com/johannfaouzi/pyts ``` - [PyPi](https://pypi.org/project/pyts) (📥 2K / month · 📦 2 · ⏱️ 21.03.2020): ``` pip install pyts ``` - [Conda](https://anaconda.org/conda-forge/pyts) (📥 5.9K · ⏱️ 21.03.2020): ``` conda install -c conda-forge pyts ```
pytorch-forecasting (🥉19 · ⭐ 640 · 🐣) - Time series forecasting with PyTorch. MIT - [GitHub](https://github.com/jdb78/pytorch-forecasting) (👨‍💻 11 · 🔀 68 · 📋 100 - 26% open · ⏱️ 21.01.2021): ``` git clone https://github.com/jdb78/pytorch-forecasting ``` - [PyPi](https://pypi.org/project/pytorch-forecasting) (📥 2.9K / month · ⏱️ 12.01.2021): ``` pip install pytorch-forecasting ```
matrixprofile-ts (🥉19 · ⭐ 600 · 💤) - A Python library for detecting patterns and anomalies.. Apache-2 - [GitHub](https://github.com/target/matrixprofile-ts) (👨‍💻 15 · 🔀 90 · 📦 11 · 📋 52 - 36% open · ⏱️ 25.04.2020): ``` git clone https://github.com/target/matrixprofile-ts ``` - [PyPi](https://pypi.org/project/matrixprofile-ts) (📥 2.7K / month · ⏱️ 08.08.2019): ``` pip install matrixprofile-ts ```
seglearn (🥉19 · ⭐ 410) - Python module for machine learning time series:. BSD-3 - [GitHub](https://github.com/dmbee/seglearn) (👨‍💻 13 · 🔀 47 · 📦 6 · 📋 26 - 23% open · ⏱️ 16.01.2021): ``` git clone https://github.com/dmbee/seglearn ``` - [PyPi](https://pypi.org/project/seglearn) (📥 1.8K / month · 📦 1 · ⏱️ 17.01.2021): ``` pip install seglearn ```
Auto TS (🥉18 · ⭐ 150) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 - [GitHub](https://github.com/AutoViML/Auto_TS) (👨‍💻 5 · 🔀 34 · 📋 27 - 22% open · ⏱️ 20.01.2021): ``` git clone https://github.com/AutoViML/Auto_TS ``` - [PyPi](https://pypi.org/project/auto-ts) (📥 500 / month · ⏱️ 18.01.2021): ``` pip install auto-ts ```
ADTK (🥉17 · ⭐ 580 · 💤) - A Python toolkit for rule-based/unsupervised anomaly detection in time.. MPL-2.0 - [GitHub](https://github.com/arundo/adtk) (👨‍💻 11 · 🔀 75 · 📋 52 - 42% open · ⏱️ 17.04.2020): ``` git clone https://github.com/arundo/adtk ``` - [PyPi](https://pypi.org/project/adtk) (📥 28K / month · ⏱️ 17.04.2020): ``` pip install adtk ```
atspy (🥉17 · ⭐ 330) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT - [GitHub](https://github.com/firmai/atspy) (👨‍💻 5 · 🔀 63 · 📦 3 · 📋 18 - 88% open · ⏱️ 12.11.2020): ``` git clone https://github.com/firmai/atspy ``` - [PyPi](https://pypi.org/project/atspy) (📥 230 / month · ⏱️ 24.04.2020): ``` pip install atspy ```
tick (🥉17 · ⭐ 320 · 💤) - Module for statistical learning, with a particular emphasis on time-.. BSD-3 - [GitHub](https://github.com/X-DataInitiative/tick) (👨‍💻 16 · 🔀 74 · 📥 160 · 📦 29 · 📋 210 - 25% open · ⏱️ 15.06.2020): ``` git clone https://github.com/X-DataInitiative/tick ``` - [PyPi](https://pypi.org/project/tick) (📥 390 / month · 📦 1 · ⏱️ 24.05.2020): ``` pip install tick ```
Show 3 hidden projects... - luminol (🥈23 · ⭐ 860 · 💀) - Anomaly Detection and Correlation library. Apache-2 - PyFlux (🥉22 · ⭐ 1.8K · 💀) - Open source time series library for Python. BSD-3 - pydlm (🥉20 · ⭐ 350 · 💀) - A python library for Bayesian time series modeling. BSD-3

## Medical Data Back to top _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic data, and other medical imaging formats._
MNE (🥇31 · ⭐ 1.5K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3 - [GitHub](https://github.com/mne-tools/mne-python) (👨‍💻 230 · 🔀 840 · 📦 800 · 📋 3.4K - 8% open · ⏱️ 21.01.2021): ``` git clone https://github.com/mne-tools/mne-python ``` - [PyPi](https://pypi.org/project/mne) (📥 17K / month · 📦 200 · ⏱️ 17.12.2020): ``` pip install mne ``` - [Conda](https://anaconda.org/conda-forge/mne) (📥 97K · ⏱️ 20.12.2020): ``` conda install -c conda-forge mne ```
Nilearn (🥇30 · ⭐ 690) - Machine learning for NeuroImaging in Python. BSD-3 - [GitHub](https://github.com/nilearn/nilearn) (👨‍💻 160 · 🔀 370 · 📦 860 · 📋 1.5K - 25% open · ⏱️ 20.01.2021): ``` git clone https://github.com/nilearn/nilearn ``` - [PyPi](https://pypi.org/project/nilearn) (📥 8K / month · 📦 300 · ⏱️ 12.11.2020): ``` pip install nilearn ``` - [Conda](https://anaconda.org/conda-forge/nilearn) (📥 77K · ⏱️ 12.11.2020): ``` conda install -c conda-forge nilearn ```
Lifelines (🥈29 · ⭐ 1.5K) - Survival analysis in Python. MIT - [GitHub](https://github.com/CamDavidsonPilon/lifelines) (👨‍💻 90 · 🔀 410 · 📦 480 · 📋 780 - 24% open · ⏱️ 05.01.2021): ``` git clone https://github.com/CamDavidsonPilon/lifelines ``` - [PyPi](https://pypi.org/project/lifelines) (📥 97K / month · 📦 130 · ⏱️ 09.12.2020): ``` pip install lifelines ``` - [Conda](https://anaconda.org/conda-forge/lifelines) (📥 120K · ⏱️ 10.12.2020): ``` conda install -c conda-forge lifelines ```
NIPYPE (🥈29 · ⭐ 540) - Workflows and interfaces for neuroimaging packages. Apache-2 - [GitHub](https://github.com/nipy/nipype) (👨‍💻 210 · 🔀 440 · 📦 490 · 📋 1.2K - 26% open · ⏱️ 08.12.2020): ``` git clone https://github.com/nipy/nipype ``` - [PyPi](https://pypi.org/project/nipype) (📥 9.8K / month · 📦 190 · ⏱️ 16.08.2020): ``` pip install nipype ``` - [Conda](https://anaconda.org/conda-forge/nipype) (📥 350K · ⏱️ 28.11.2020): ``` conda install -c conda-forge nipype ```
NiBabel (🥈29 · ⭐ 380) - Python package to access a cacophony of neuro-imaging file formats. MIT - [GitHub](https://github.com/nipy/nibabel) (👨‍💻 89 · 🔀 210 · 📦 3.5K · 📋 390 - 27% open · ⏱️ 17.01.2021): ``` git clone https://github.com/nipy/nibabel ``` - [PyPi](https://pypi.org/project/nibabel) (📥 43K / month · 📦 1.3K · ⏱️ 28.11.2020): ``` pip install nibabel ``` - [Conda](https://anaconda.org/conda-forge/nibabel) (📥 290K · ⏱️ 29.11.2020): ``` conda install -c conda-forge nibabel ```
DIPY (🥈28 · ⭐ 380) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic.. BSD-3 - [GitHub](https://github.com/dipy/dipy) (👨‍💻 120 · 🔀 310 · 📦 320 · 📋 730 - 21% open · ⏱️ 10.12.2020): ``` git clone https://github.com/dipy/dipy ``` - [PyPi](https://pypi.org/project/dipy) (📥 5.7K / month · 📦 94 · ⏱️ 05.11.2020): ``` pip install dipy ``` - [Conda](https://anaconda.org/conda-forge/dipy) (📥 170K · ⏱️ 14.11.2020): ``` conda install -c conda-forge dipy ```
Hail (🥈23 · ⭐ 690) - Scalable genomic data analysis. MIT - [GitHub](https://github.com/hail-is/hail) (👨‍💻 69 · 🔀 180 · 📦 28 · 📋 2.3K - 14% open · ⏱️ 21.01.2021): ``` git clone https://github.com/hail-is/hail ``` - [PyPi](https://pypi.org/project/hail) (📥 850 / month · ⏱️ 03.12.2020): ``` pip install hail ```
MONAI (🥈22 · ⭐ 1.7K) - AI Toolkit for Healthcare Imaging. Apache-2 - [GitHub](https://github.com/Project-MONAI/MONAI) (👨‍💻 52 · 🔀 300 · 📋 660 - 11% open · ⏱️ 21.01.2021): ``` git clone https://github.com/Project-MONAI/MONAI ``` - [PyPi](https://pypi.org/project/monai) (📥 3.5K / month · ⏱️ 15.12.2020): ``` pip install monai ```
NiftyNet (🥈22 · ⭐ 1.3K · 💤) - [unmaintained] An open-source convolutional neural.. Apache-2 - [GitHub](https://github.com/NifTK/NiftyNet) (👨‍💻 58 · 🔀 370 · 📦 33 · 📋 320 - 30% open · ⏱️ 21.04.2020): ``` git clone https://github.com/NifTK/NiftyNet ``` - [PyPi](https://pypi.org/project/niftynet) (📥 150 / month · ⏱️ 10.10.2019): ``` pip install niftynet ```
DeepVariant (🥉21 · ⭐ 2.2K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3 - [GitHub](https://github.com/google/deepvariant) (👨‍💻 19 · 🔀 530 · 📥 3K · 📋 370 - 0% open · ⏱️ 14.12.2020): ``` git clone https://github.com/google/deepvariant ``` - [Conda](https://anaconda.org/bioconda/deepvariant) (📥 26K · ⏱️ 05.09.2020): ``` conda install -c bioconda deepvariant ```
Brainiak (🥉18 · ⭐ 230) - Brain Imaging Analysis Kit. Apache-2 - [GitHub](https://github.com/brainiak/brainiak) (👨‍💻 32 · 🔀 110 · 📦 12 · 📋 180 - 35% open · ⏱️ 15.10.2020): ``` git clone https://github.com/brainiak/brainiak ``` - [PyPi](https://pypi.org/project/brainiak) (📥 100 / month · 📦 1 · ⏱️ 15.10.2020): ``` pip install brainiak ``` - [Docker Hub](https://hub.docker.com/r/brainiak/brainiak) (📥 460 · ⭐ 1 · ⏱️ 15.10.2020): ``` docker pull brainiak/brainiak ```
Glow (🥉18 · ⭐ 150) - An open-source toolkit for large-scale genomic analysis. Apache-2 - [GitHub](https://github.com/projectglow/glow) (👨‍💻 11 · 🔀 40 · 📋 69 - 31% open · ⏱️ 20.01.2021): ``` git clone https://github.com/projectglow/glow ``` - [PyPi](https://pypi.org/project/glow.py) (📥 590 / month · ⏱️ 10.09.2020): ``` pip install glow.py ```
Medical Detection Toolkit (🥉12 · ⭐ 900 · 💤) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2 - [GitHub](https://github.com/MIC-DKFZ/medicaldetectiontoolkit) (👨‍💻 3 · 🔀 230 · 📋 110 - 24% open · ⏱️ 18.04.2020): ``` git clone https://github.com/MIC-DKFZ/medicaldetectiontoolkit ```
MedicalNet (🥉11 · ⭐ 1K) - Many studies have shown that the performance on deep learning is.. MIT - [GitHub](https://github.com/Tencent/MedicalNet) (👨‍💻 1 · 🔀 280 · 📋 56 - 75% open · ⏱️ 27.08.2020): ``` git clone https://github.com/Tencent/MedicalNet ```
Show 5 hidden projects... - NIPY (🥉21 · ⭐ 290) - Neuroimaging in Python FMRI analysis package. ❗️DSDP - MedPy (🥉20 · ⭐ 310 · 💤) - Medical image processing in Python. ❗️GPL-3.0 - DLTK (🥉19 · ⭐ 1.2K · 💀) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 - MedicalTorch (🥉15 · ⭐ 700 · 💀) - A medical imaging framework for Pytorch. Apache-2 - DeepNeuro (🥉14 · ⭐ 99 · 💤) - A deep learning python package for neuroimaging data. Made by:. MIT

## Optical Character Recognition Back to top _Libraries for optical character recognition (OCR) and text extraction from images or videos._
Tesseract (🥇30 · ⭐ 3.4K · 📈) - Python-tesseract is an optical character recognition (OCR).. Apache-2 - [GitHub](https://github.com/madmaze/pytesseract) (👨‍💻 36 · 🔀 500 · 📋 240 - 2% open · ⏱️ 04.01.2021): ``` git clone https://github.com/madmaze/pytesseract ``` - [PyPi](https://pypi.org/project/pytesseract) (📥 450K / month · 📦 1.4K · ⏱️ 15.12.2020): ``` pip install pytesseract ``` - [Conda](https://anaconda.org/conda-forge/pytesseract) (📥 38K · ⏱️ 20.11.2020): ``` conda install -c conda-forge pytesseract ```
EasyOCR (🥈27 · ⭐ 10K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2 - [GitHub](https://github.com/JaidedAI/EasyOCR) (👨‍💻 73 · 🔀 980 · 📥 110K · 📦 100 · 📋 240 - 33% open · ⏱️ 14.01.2021): ``` git clone https://github.com/JaidedAI/EasyOCR ``` - [PyPi](https://pypi.org/project/easyocr) (📥 9.9K / month · ⏱️ 05.01.2021): ``` pip install easyocr ```
OCRmyPDF (🥈27 · ⭐ 3.7K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 - [GitHub](https://github.com/jbarlow83/OCRmyPDF) (👨‍💻 49 · 🔀 420 · 📦 110 · 📋 650 - 13% open · ⏱️ 10.01.2021): ``` git clone https://github.com/jbarlow83/OCRmyPDF ``` - [PyPi](https://pypi.org/project/ocrmypdf) (📥 12K / month · 📦 12 · ⏱️ 10.01.2021): ``` pip install ocrmypdf ```
tesserocr (🥈26 · ⭐ 1.4K) - A Python wrapper for the tesseract-ocr API. MIT - [GitHub](https://github.com/sirfz/tesserocr) (👨‍💻 23 · 🔀 180 · 📦 450 · 📋 200 - 29% open · ⏱️ 18.01.2021): ``` git clone https://github.com/sirfz/tesserocr ``` - [PyPi](https://pypi.org/project/tesserocr) (📥 25K / month · 📦 50 · ⏱️ 17.03.2020): ``` pip install tesserocr ``` - [Conda](https://anaconda.org/conda-forge/tesserocr) (📥 32K · ⏱️ 13.01.2021): ``` conda install -c conda-forge tesserocr ```
PaddleOCR (🥉24 · ⭐ 8.5K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (👨‍💻 41 · 🔀 1.7K · 📦 19 · 📋 1.2K - 30% open · ⏱️ 21.01.2021): ``` git clone https://github.com/PaddlePaddle/PaddleOCR ``` - [PyPi](https://pypi.org/project/paddleocr) (📥 1.5K / month · ⏱️ 18.12.2020): ``` pip install paddleocr ```
attention-ocr (🥉20 · ⭐ 820) - A Tensorflow model for text recognition (CNN + seq2seq with.. MIT - [GitHub](https://github.com/emedvedev/attention-ocr) (👨‍💻 27 · 🔀 230 · 📦 15 · 📋 140 - 11% open · ⏱️ 31.10.2020): ``` git clone https://github.com/emedvedev/attention-ocr ``` - [PyPi](https://pypi.org/project/aocr) (📥 140 / month · ⏱️ 19.04.2019): ``` pip install aocr ```
keras-ocr (🥉20 · ⭐ 740) - A packaged and flexible version of the CRAFT text detector and.. MIT - [GitHub](https://github.com/faustomorales/keras-ocr) (👨‍💻 9 · 🔀 170 · 📥 15K · 📋 120 - 22% open · ⏱️ 26.11.2020): ``` git clone https://github.com/faustomorales/keras-ocr ``` - [PyPi](https://pypi.org/project/keras-ocr) (📥 1.5K / month · 📦 1 · ⏱️ 26.11.2020): ``` pip install keras-ocr ```
doc2text (🥉19 · ⭐ 1.2K) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python module.. MIT - [GitHub](https://github.com/jlsutherland/doc2text) (👨‍💻 5 · 🔀 92 · 📦 32 · 📋 21 - 57% open · ⏱️ 01.12.2020): ``` git clone https://github.com/jlsutherland/doc2text ``` - [PyPi](https://pypi.org/project/doc2text) (📥 220 / month · ⏱️ 06.09.2016): ``` pip install doc2text ```
calamari (🥉19 · ⭐ 770) - Line based ATR Engine based on OCRopy. Apache-2 - [GitHub](https://github.com/Calamari-OCR/calamari) (👨‍💻 17 · 🔀 160 · 📋 150 - 13% open · ⏱️ 19.01.2021): ``` git clone https://github.com/Calamari-OCR/calamari ``` - [PyPi](https://pypi.org/project/calamari_ocr) (📥 380 / month · 📦 2 · ⏱️ 13.11.2018): ``` pip install calamari_ocr ```
Show 1 hidden projects... - pdftabextract (🥉20 · ⭐ 1.9K · 💀) - A set of tools for extracting tables from PDF files.. Apache-2

## Data Containers & Structures Back to top _General-purpose data containers & structures as well as utilities & extensions for pandas._
pandas (🥇42 · ⭐ 28K) - Flexible and powerful data analysis / manipulation library for.. BSD-3 - [GitHub](https://github.com/pandas-dev/pandas) (👨‍💻 2.6K · 🔀 12K · 📥 93K · 📦 370K · 📋 20K - 18% open · ⏱️ 21.01.2021): ``` git clone https://github.com/pandas-dev/pandas ``` - [PyPi](https://pypi.org/project/pandas) (📥 22M / month · 📦 77K · ⏱️ 20.01.2021): ``` pip install pandas ``` - [Conda](https://anaconda.org/conda-forge/pandas) (📥 13M · ⏱️ 20.01.2021): ``` conda install -c conda-forge pandas ```
numpy (🥇42 · ⭐ 16K) - The fundamental package for scientific computing with Python. BSD-3 - [GitHub](https://github.com/numpy/numpy) (👨‍💻 1.2K · 🔀 5.2K · 📥 300K · 📦 600K · 📋 9.5K - 23% open · ⏱️ 21.01.2021): ``` git clone https://github.com/numpy/numpy ``` - [PyPi](https://pypi.org/project/numpy) (📥 36M / month · 📦 170K · ⏱️ 05.01.2021): ``` pip install numpy ``` - [Conda](https://anaconda.org/conda-forge/numpy) (📥 15M · ⏱️ 11.01.2021): ``` conda install -c conda-forge numpy ```
h5py (🥇36 · ⭐ 1.5K) - HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5.. BSD-3 - [GitHub](https://github.com/h5py/h5py) (👨‍💻 160 · 🔀 390 · 📥 780 · 📦 99K · 📋 1.1K - 16% open · ⏱️ 19.01.2021): ``` git clone https://github.com/h5py/h5py ``` - [PyPi](https://pypi.org/project/h5py) (📥 4.7M / month · 📦 23K · ⏱️ 06.11.2020): ``` pip install h5py ``` - [Conda](https://anaconda.org/conda-forge/h5py) (📥 4.5M · ⏱️ 01.01.2021): ``` conda install -c conda-forge h5py ```
Arrow (🥈35 · ⭐ 6.9K) - Apache Arrow is a cross-language development platform for in-memory.. Apache-2 - [GitHub](https://github.com/apache/arrow) (👨‍💻 620 · 🔀 1.7K · 📦 29 · 📋 670 - 18% open · ⏱️ 21.01.2021): ``` git clone https://github.com/apache/arrow ``` - [PyPi](https://pypi.org/project/pyarrow) (📥 13M / month · 📦 990 · ⏱️ 19.10.2020): ``` pip install pyarrow ``` - [Conda](https://anaconda.org/conda-forge/arrow) (📥 450K · ⏱️ 12.01.2021): ``` conda install -c conda-forge arrow ```
xarray (🥈32 · ⭐ 1.9K) - N-D labeled arrays and datasets in Python. Apache-2 - [GitHub](https://github.com/pydata/xarray) (👨‍💻 290 · 🔀 620 · 📦 4.9K · 📋 2.7K - 29% open · ⏱️ 21.01.2021): ``` git clone https://github.com/pydata/xarray ``` - [PyPi](https://pypi.org/project/xarray) (📥 260K / month · 📦 1.1K · ⏱️ 30.11.2020): ``` pip install xarray ``` - [Conda](https://anaconda.org/conda-forge/xarray) (📥 2.3M · ⏱️ 01.12.2020): ``` conda install -c conda-forge xarray ```
numexpr (🥈31 · ⭐ 1.5K) - Fast numerical array expression evaluator for Python, NumPy, PyTables,.. MIT - [GitHub](https://github.com/pydata/numexpr) (👨‍💻 55 · 🔀 160 · 📋 300 - 17% open · ⏱️ 04.01.2021): ``` git clone https://github.com/pydata/numexpr ``` - [PyPi](https://pypi.org/project/numexpr) (📥 640K / month · 📦 5.5K · ⏱️ 05.01.2020): ``` pip install numexpr ``` - [Conda](https://anaconda.org/conda-forge/numexpr) (📥 2.1M · ⏱️ 13.01.2021): ``` conda install -c conda-forge numexpr ```
Modin (🥈29 · ⭐ 5.6K) - Modin: Speed up your Pandas workflows by changing a single line of.. Apache-2 - [GitHub](https://github.com/modin-project/modin) (👨‍💻 66 · 🔀 380 · 📥 200K · 📦 290 · 📋 1.5K - 28% open · ⏱️ 20.01.2021): ``` git clone https://github.com/modin-project/modin ``` - [PyPi](https://pypi.org/project/modin) (📥 72K / month · 📦 18 · ⏱️ 12.01.2021): ``` pip install modin ```
TinyDB (🥈29 · ⭐ 4K) - TinyDB is a lightweight document oriented database optimized for your.. MIT - [GitHub](https://github.com/msiemens/tinydb) (👨‍💻 62 · 🔀 360 · 📋 250 - 5% open · ⏱️ 04.01.2021): ``` git clone https://github.com/msiemens/tinydb ``` - [PyPi](https://pypi.org/project/tinydb) (📥 130K / month · 📦 1.1K · ⏱️ 14.11.2020): ``` pip install tinydb ``` - [Conda](https://anaconda.org/conda-forge/tinydb) (📥 100K · ⏱️ 14.11.2020): ``` conda install -c conda-forge tinydb ```
Koalas (🥈29 · ⭐ 2.6K) - Koalas: pandas API on Apache Spark. Apache-2 - [GitHub](https://github.com/databricks/koalas) (👨‍💻 47 · 🔀 290 · 📥 1K · 📦 72 · 📋 500 - 16% open · ⏱️ 20.01.2021): ``` git clone https://github.com/databricks/koalas ``` - [PyPi](https://pypi.org/project/koalas) (📥 790K / month · 📦 1 · ⏱️ 11.12.2020): ``` pip install koalas ``` - [Conda](https://anaconda.org/conda-forge/koalas) (📥 75K · ⏱️ 11.12.2020): ``` conda install -c conda-forge koalas ```
Bottleneck (🥈29 · ⭐ 570 · 📈) - Fast NumPy array functions written in C. BSD-2 - [GitHub](https://github.com/pydata/bottleneck) (👨‍💻 21 · 🔀 63 · 📦 18K · 📋 200 - 11% open · ⏱️ 19.01.2021): ``` git clone https://github.com/pydata/bottleneck ``` - [PyPi](https://pypi.org/project/Bottleneck) (📥 190K / month · 📦 2.9K · ⏱️ 21.02.2020): ``` pip install Bottleneck ``` - [Conda](https://anaconda.org/conda-forge/bottleneck) (📥 1.4M · ⏱️ 21.01.2021): ``` conda install -c conda-forge bottleneck ```
PyTables (🥈28 · ⭐ 1K) - A Python package to manage extremely large amounts of data. BSD-3 - [GitHub](https://github.com/PyTables/PyTables) (👨‍💻 96 · 🔀 180 · 📥 120 · 📋 590 - 25% open · ⏱️ 10.01.2021): ``` git clone https://github.com/PyTables/PyTables ``` - [PyPi](https://pypi.org/project/tables) (📥 330K / month · 📦 3.8K · ⏱️ 30.10.2019): ``` pip install tables ``` - [Conda](https://anaconda.org/conda-forge/pytables) (📥 2.2M · ⏱️ 14.01.2021): ``` conda install -c conda-forge pytables ```
datasketch (🥉27 · ⭐ 1.4K) - MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog,.. MIT - [GitHub](https://github.com/ekzhu/datasketch) (👨‍💻 16 · 🔀 200 · 📥 16 · 📦 250 · 📋 110 - 17% open · ⏱️ 23.12.2020): ``` git clone https://github.com/ekzhu/datasketch ``` - [PyPi](https://pypi.org/project/datasketch) (📥 180K / month · 📦 86 · ⏱️ 15.12.2020): ``` pip install datasketch ```
zarr (🥉27 · ⭐ 620) - An implementation of chunked, compressed, N-dimensional arrays for Python. MIT - [GitHub](https://github.com/zarr-developers/zarr-python) (👨‍💻 35 · 🔀 110 · 📦 520 · 📋 410 - 43% open · ⏱️ 04.01.2021): ``` git clone https://github.com/zarr-developers/zarr-python ``` - [PyPi](https://pypi.org/project/zarr) (📥 73K / month · 📦 72 · ⏱️ 02.12.2020): ``` pip install zarr ``` - [Conda](https://anaconda.org/conda-forge/zarr) (📥 530K · ⏱️ 03.12.2020): ``` conda install -c conda-forge zarr ```
swifter (🥉25 · ⭐ 1.5K) - A package which efficiently applies any function to a pandas.. MIT - [GitHub](https://github.com/jmcarpenter2/swifter) (👨‍💻 14 · 🔀 68 · 📦 270 · 📋 90 - 15% open · ⏱️ 19.12.2020): ``` git clone https://github.com/jmcarpenter2/swifter ``` - [PyPi](https://pypi.org/project/swifter) (📥 46K / month · 📦 16 · ⏱️ 11.10.2020): ``` pip install swifter ``` - [Conda](https://anaconda.org/conda-forge/swifter) (📥 74K · ⏱️ 20.09.2020): ``` conda install -c conda-forge swifter ```
bcolz (🥉25 · ⭐ 910) - A columnar data container that can be compressed. BSD-3 - [GitHub](https://github.com/Blosc/bcolz) (👨‍💻 33 · 🔀 120 · 📦 1.5K · 📋 250 - 51% open · ⏱️ 10.09.2020): ``` git clone https://github.com/Blosc/bcolz ``` - [PyPi](https://pypi.org/project/bcolz) (📥 19K / month · 📦 970 · ⏱️ 13.04.2018): ``` pip install bcolz ``` - [Conda](https://anaconda.org/conda-forge/bcolz) (📥 210K · ⏱️ 05.11.2019): ``` conda install -c conda-forge bcolz ```
Pandaral·lel (🥉23 · ⭐ 1.3K) - A simple and efficient tool to parallelize Pandas.. BSD-3 - [GitHub](https://github.com/nalepae/pandarallel) (👨‍💻 13 · 🔀 92 · 📦 140 · 📋 110 - 53% open · ⏱️ 16.12.2020): ``` git clone https://github.com/nalepae/pandarallel ``` - [PyPi](https://pypi.org/project/pandarallel) (📥 39K / month · ⏱️ 25.08.2020): ``` pip install pandarallel ```
Vaex (🥉22 · ⭐ 5.7K) - Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data.. MIT - [GitHub](https://github.com/vaexio/vaex) (👨‍💻 38 · 🔀 440 · 📥 200 · 📋 670 - 41% open · ⏱️ 21.01.2021): ``` git clone https://github.com/vaexio/vaex ``` - [PyPi](https://pypi.org/project/vaex) (📥 3.1K / month · 📦 2 · ⏱️ 13.01.2021): ``` pip install vaex ``` - [Conda](https://anaconda.org/conda-forge/vaex) (📥 94K · ⏱️ 01.06.2020): ``` conda install -c conda-forge vaex ```
datatable (🥉20 · ⭐ 1.1K) - A Python package for manipulating 2-dimensional tabular data.. MPL-2.0 - [GitHub](https://github.com/h2oai/datatable) (👨‍💻 28 · 🔀 95 · 📥 760 · 📋 1.2K - 9% open · ⏱️ 20.01.2021): ``` git clone https://github.com/h2oai/datatable ``` - [PyPi](https://pypi.org/project/datatable) (📥 14K / month · 📦 6 · ⏱️ 10.12.2020): ``` pip install datatable ```
fletcher (🥉20 · ⭐ 210) - Pandas ExtensionDType/Array backed by Apache Arrow. MIT - [GitHub](https://github.com/xhochy/fletcher) (👨‍💻 23 · 🔀 32 · 📥 12 · 📦 3 · 📋 73 - 45% open · ⏱️ 17.01.2021): ``` git clone https://github.com/xhochy/fletcher ``` - [PyPi](https://pypi.org/project/fletcher) (📥 260 / month · ⏱️ 29.12.2020): ``` pip install fletcher ``` - [Conda](https://anaconda.org/conda-forge/fletcher) (📥 18K · ⏱️ 17.01.2021): ``` conda install -c conda-forge fletcher ```
StaticFrame (🥉20 · ⭐ 210) - The StaticFrame library defines the Series and Frame, immutable data.. MIT - [GitHub](https://github.com/InvestmentSystems/static-frame) (👨‍💻 14 · 🔀 20 · 📦 6 · 📋 270 - 13% open · ⏱️ 21.01.2021): ``` git clone https://github.com/InvestmentSystems/static-frame ``` - [PyPi](https://pypi.org/project/static-frame) (📥 1.2K / month · ⏱️ 12.01.2021): ``` pip install static-frame ``` - [Conda](https://anaconda.org/conda-forge/static-frame) (📥 60K · ⏱️ 12.01.2021): ``` conda install -c conda-forge static-frame ```
Bounter (🥉18 · ⭐ 890) - Efficient Counter that uses a limited (bounded) amount of memory.. MIT - [GitHub](https://github.com/RaRe-Technologies/bounter) (👨‍💻 8 · 🔀 48 · 📦 20 · 📋 20 - 55% open · ⏱️ 16.08.2020): ``` git clone https://github.com/RaRe-Technologies/bounter ``` - [PyPi](https://pypi.org/project/bounter) (📥 230 / month · 📦 14 · ⏱️ 17.08.2020): ``` pip install bounter ```
PandaPy (🥉15 · ⭐ 470) - PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x.. MIT - [GitHub](https://github.com/firmai/pandapy) (👨‍💻 3 · 🔀 44 · 📦 1 · 📋 3 - 66% open · ⏱️ 12.11.2020): ``` git clone https://github.com/firmai/pandapy ``` - [PyPi](https://pypi.org/project/pandapy) (📥 57 / month · ⏱️ 25.01.2020): ``` pip install pandapy ```
Show 6 hidden projects... - Blaze (🥈28 · ⭐ 2.9K · 💀) - NumPy and Pandas interface to Big Data. BSD-3 - sklearn-pandas (🥈28 · ⭐ 2.3K) - Pandas integration with sklearn. ❗️Zlib - Arctic (🥉24 · ⭐ 2.1K) - Arctic is a high performance datastore for numeric data. ❗️LGPL-2.1 - pandasql (🥉22 · ⭐ 930 · 💀) - sqldf for pandas. MIT - pickleDB (🥉21 · ⭐ 530 · 💀) - pickleDB is an open source key-value store using Python's json.. BSD-3 - Pandas Summary (🥉21 · ⭐ 360 · 💀) - An extension to pandas dataframes describe function. MIT

## Data Loading & Extraction Back to top _Libraries for loading, collecting, and extracting data from a variety of data sources and formats._
Faker (🥇36 · ⭐ 12K) - Faker is a Python package that generates fake data for you. MIT - [GitHub](https://github.com/joke2k/faker) (👨‍💻 380 · 🔀 1.4K · 📦 23K · 📋 480 - 27% open · ⏱️ 21.01.2021): ``` git clone https://github.com/joke2k/faker ``` - [PyPi](https://pypi.org/project/Faker) (📥 1.7M / month · 📦 4.7K · ⏱️ 20.01.2021): ``` pip install Faker ``` - [Conda](https://anaconda.org/conda-forge/faker) (📥 360K · ⏱️ 20.01.2021): ``` conda install -c conda-forge faker ```
xlrd (🥇33 · ⭐ 1.8K) - Please use openpyxl where you can... BSD-3 - [GitHub](https://github.com/python-excel/xlrd) (👨‍💻 50 · 🔀 410 · 📦 62K · ⏱️ 12.12.2020): ``` git clone https://github.com/python-excel/xlrd ``` - [PyPi](https://pypi.org/project/xlrd) (📥 4.8M / month · 📦 14K · ⏱️ 11.12.2020): ``` pip install xlrd ``` - [Conda](https://anaconda.org/conda-forge/xlrd) (📥 1.2M · ⏱️ 09.01.2021): ``` conda install -c conda-forge xlrd ```
xmltodict (🥇32 · ⭐ 4.2K · 💤) - Python module that makes working with XML feel like you are.. MIT - [GitHub](https://github.com/martinblech/xmltodict) (👨‍💻 41 · 🔀 400 · 📦 20K · 📋 200 - 31% open · ⏱️ 26.04.2020): ``` git clone https://github.com/martinblech/xmltodict ``` - [PyPi](https://pypi.org/project/xmltodict) (📥 3.7M / month · 📦 8.2K · ⏱️ 11.02.2019): ``` pip install xmltodict ``` - [Conda](https://anaconda.org/conda-forge/xmltodict) (📥 610K · ⏱️ 11.02.2019): ``` conda install -c conda-forge xmltodict ```
Tablib (🥇32 · ⭐ 3.8K) - Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c. MIT - [GitHub](https://github.com/jazzband/tablib) (👨‍💻 110 · 🔀 560 · 📦 9.1K · 📋 230 - 14% open · ⏱️ 11.12.2020): ``` git clone https://github.com/jazzband/tablib ``` - [PyPi](https://pypi.org/project/tablib) (📥 500K / month · 📦 2.4K · ⏱️ 05.12.2020): ``` pip install tablib ``` - [Conda](https://anaconda.org/conda-forge/tablib) (📥 56K · ⏱️ 05.12.2020): ``` conda install -c conda-forge tablib ```
TensorFlow Datasets (🥇32 · ⭐ 2.6K) - TFDS is a collection of datasets ready to use with.. Apache-2 - [GitHub](https://github.com/tensorflow/datasets) (👨‍💻 180 · 🔀 940 · 📦 3.4K · 📋 920 - 42% open · ⏱️ 20.01.2021): ``` git clone https://github.com/tensorflow/datasets ``` - [PyPi](https://pypi.org/project/tensorflow-datasets) (📥 510K / month · 📦 100 · ⏱️ 07.01.2021): ``` pip install tensorflow-datasets ```
python-magic (🥈31 · ⭐ 1.8K) - A python wrapper for libmagic. MIT - [GitHub](https://github.com/ahupp/python-magic) (👨‍💻 49 · 🔀 220 · 📦 12K · 📋 150 - 17% open · ⏱️ 16.01.2021): ``` git clone https://github.com/ahupp/python-magic ``` - [PyPi](https://pypi.org/project/python-magic) (📥 1.3M / month · 📦 5.1K · ⏱️ 16.01.2021): ``` pip install python-magic ``` - [Conda](https://anaconda.org/conda-forge/python-magic) (📥 74K · ⏱️ 24.12.2020): ``` conda install -c conda-forge python-magic ```
smart-open (🥈30 · ⭐ 1.9K) - Utils for streaming large files (S3, HDFS, gzip, bz2...). MIT - [GitHub](https://github.com/RaRe-Technologies/smart_open) (👨‍💻 72 · 🔀 270 · 📋 290 - 17% open · ⏱️ 18.01.2021): ``` git clone https://github.com/RaRe-Technologies/smart_open ``` - [PyPi](https://pypi.org/project/smart-open) (📥 7.4M / month · 📦 640 · ⏱️ 18.01.2021): ``` pip install smart-open ```
Datasets (🥈29 · ⭐ 6.5K) - The largest hub of ready-to-use NLP datasets for ML models with.. Apache-2 - [GitHub](https://github.com/huggingface/datasets) (👨‍💻 200 · 🔀 690 · 📦 270 · 📋 510 - 37% open · ⏱️ 20.01.2021): ``` git clone https://github.com/huggingface/datasets ``` - [PyPi](https://pypi.org/project/datasets) (📥 22K / month · 📦 18 · ⏱️ 04.01.2021): ``` pip install datasets ```
pandas-datareader (🥈29 · ⭐ 1.8K) - Extract data from a wide range of Internet sources.. BSD-3 - [GitHub](https://github.com/pydata/pandas-datareader) (👨‍💻 77 · 🔀 490 · 📦 7.5K · 📋 440 - 15% open · ⏱️ 31.12.2020): ``` git clone https://github.com/pydata/pandas-datareader ``` - [PyPi](https://pypi.org/project/pandas-datareader) (📥 110K / month · 📦 1.4K · ⏱️ 10.07.2020): ``` pip install pandas-datareader ``` - [Conda](https://anaconda.org/conda-forge/pandas-datareader) (📥 87K · ⏱️ 20.11.2019): ``` conda install -c conda-forge pandas-datareader ```
PDFMiner (🥉27 · ⭐ 4.5K · 💤) - Python PDF Parser (Not actively maintained). Check out pdfminer.six. MIT - [GitHub](https://github.com/euske/pdfminer) (👨‍💻 28 · 🔀 1K · 📦 2K · 📋 260 - 85% open · ⏱️ 18.01.2020): ``` git clone https://github.com/euske/pdfminer ``` - [PyPi](https://pypi.org/project/pdfminer) (📥 160K / month · 📦 1.5K · ⏱️ 25.11.2019): ``` pip install pdfminer ``` - [Conda](https://anaconda.org/conda-forge/pdfminer) (📥 13K · ⏱️ 18.01.2021): ``` conda install -c conda-forge pdfminer ```
csvkit (🥉27 · ⭐ 4.5K) - A suite of utilities for converting to and working with CSV, the king of.. MIT - [GitHub](https://github.com/wireservice/csvkit) (👨‍💻 91 · 🔀 540 · 📦 810 · 📋 800 - 7% open · ⏱️ 30.10.2020): ``` git clone https://github.com/wireservice/csvkit ``` - [PyPi](https://pypi.org/project/csvkit) (📥 24K / month · 📦 700 · ⏱️ 03.03.2020): ``` pip install csvkit ``` - [Conda](https://anaconda.org/conda-forge/csvkit) (📥 45K · ⏱️ 28.05.2019): ``` conda install -c conda-forge csvkit ```
snorkel (🥉27 · ⭐ 4.4K) - A system for quickly generating training data with weak supervision. Apache-2 - [GitHub](https://github.com/snorkel-team/snorkel) (👨‍💻 62 · 🔀 710 · 📥 490 · 📦 66 · 📋 940 - 3% open · ⏱️ 05.09.2020): ``` git clone https://github.com/snorkel-team/snorkel ``` - [PyPi](https://pypi.org/project/snorkel) (📥 61K / month · 📦 4 · ⏱️ 07.04.2020): ``` pip install snorkel ``` - [Conda](https://anaconda.org/conda-forge/snorkel) (📥 15K · ⏱️ 10.04.2020): ``` conda install -c conda-forge snorkel ```
tabulator-py (🥉26 · ⭐ 200) - Python library for reading and writing tabular data via streams. MIT - [GitHub](https://github.com/frictionlessdata/tabulator-py) (👨‍💻 24 · 🔀 40 · 📦 460 · ⏱️ 30.11.2020): ``` git clone https://github.com/frictionlessdata/tabulator-py ``` - [PyPi](https://pypi.org/project/tabulator) (📥 84K / month · 📦 100 · ⏱️ 30.11.2020): ``` pip install tabulator ``` - [Conda](https://anaconda.org/conda-forge/tabulator-py) (📥 37K · ⏱️ 24.07.2018): ``` conda install -c conda-forge tabulator-py ```
Intake (🥉24 · ⭐ 520) - Intake is a lightweight package for finding, investigating, loading and.. BSD-2 - [GitHub](https://github.com/intake/intake) (👨‍💻 51 · 🔀 91 · 📦 220 · 📋 260 - 28% open · ⏱️ 15.01.2021): ``` git clone https://github.com/intake/intake ``` - [PyPi](https://pypi.org/project/intake) (📥 2.2K / month · 📦 74 · ⏱️ 03.06.2020): ``` pip install intake ``` - [Conda](https://anaconda.org/conda-forge/intake) (📥 56K · ⏱️ 03.06.2020): ``` conda install -c conda-forge intake ```
SDV (🥉21 · ⭐ 310) - Synthetic Data Generation for tabular, relational and time series data. MIT - [GitHub](https://github.com/sdv-dev/SDV) (👨‍💻 33 · 🔀 56 · 📦 13 · 📋 170 - 24% open · ⏱️ 20.01.2021): ``` git clone https://github.com/sdv-dev/SDV ``` - [PyPi](https://pypi.org/project/sdv) (📥 940 / month · ⏱️ 20.01.2021): ``` pip install sdv ```
datatest (🥉21 · ⭐ 240) - Tools for test driven data-wrangling and data validation. Apache-2 - [GitHub](https://github.com/shawnbrown/datatest) (👨‍💻 6 · 🔀 13 · 📦 29 · 📋 51 - 17% open · ⏱️ 17.01.2021): ``` git clone https://github.com/shawnbrown/datatest ``` - [PyPi](https://pypi.org/project/datatest) (📥 2K / month · 📦 2 · ⏱️ 04.01.2021): ``` pip install datatest ```
Show 7 hidden projects... - textract (🥉26 · ⭐ 2.9K · 💀) - extract text from any document. no muss. no fuss. MIT - Camelot (🥉23 · ⭐ 3K · 💀) - Camelot: PDF Table Extraction for Humans. MIT - Singer (🥉23 · ⭐ 670) - Standard for moving data between databases, web APIs, files, queues,.. ❗️AGPL-3.0 - messytables (🥉23 · ⭐ 360 · 💀) - Tools for parsing messy tabular data. This is now superseded by.. MIT - pyexcel-xlsx (🥉23 · ⭐ 83) - A wrapper library to read, manipulate and write data in xlsx and.. BSD-3 - openpyxl (🥉22 · ⭐ 17 · ➕) - A Python library to read/write Excel 2010 xlsx/xlsm files. MIT - rows (🥉20 · ⭐ 730) - A common, beautiful interface to tabular data, no matter the format. ❗️LGPL-3.0

## Web Scraping & Crawling Back to top _Libraries for web scraping, crawling, downloading, and mining as well as libraries._ 🔗 best-of-web-python - Web Scraping ( ⭐ 820) - Collection of web-scraping and crawling libraries.
## Data Pipelines & Streaming Back to top _Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks._
Celery (🥇37 · ⭐ 17K) - Asynchronous task queue/job queue based on distributed message passing. BSD-3 - [GitHub](https://github.com/celery/celery) (👨‍💻 1.1K · 🔀 3.9K · 📦 48K · 📋 4.4K - 11% open · ⏱️ 21.01.2021): ``` git clone https://github.com/celery/celery ``` - [PyPi](https://pypi.org/project/celery) (📥 1.8M / month · 📦 28K · ⏱️ 16.12.2020): ``` pip install celery ``` - [Conda](https://anaconda.org/conda-forge/celery) (📥 370K · ⏱️ 11.11.2020): ``` conda install -c conda-forge celery ```
Airflow (🥇35 · ⭐ 20K) - Platform to programmatically author, schedule, and monitor workflows. Apache-2 - [GitHub](https://github.com/apache/airflow) (👨‍💻 1.7K · 🔀 7.8K · 📥 79K · 📋 2.9K - 34% open · ⏱️ 21.01.2021): ``` git clone https://github.com/apache/airflow ``` - [PyPi](https://pypi.org/project/apache-airflow) (📥 510K / month · 📦 290 · ⏱️ 14.12.2020): ``` pip install apache-airflow ``` - [Conda](https://anaconda.org/conda-forge/airflow) (📥 260K · ⏱️ 26.11.2020): ``` conda install -c conda-forge airflow ``` - [Docker Hub](https://hub.docker.com/r/apache/airflow) (📥 5.1M · ⭐ 200 · ⏱️ 21.01.2021): ``` docker pull apache/airflow ```
joblib (🥇35 · ⭐ 2.3K) - Computing with Python functions. BSD-3 - [GitHub](https://github.com/joblib/joblib) (👨‍💻 98 · 🔀 290 · 📦 78K · 📋 640 - 45% open · ⏱️ 28.12.2020): ``` git clone https://github.com/joblib/joblib ``` - [PyPi](https://pypi.org/project/joblib) (📥 15M / month · 📦 6.6K · ⏱️ 14.12.2020): ``` pip install joblib ``` - [Conda](https://anaconda.org/conda-forge/joblib) (📥 2.9M · ⏱️ 14.12.2020): ``` conda install -c conda-forge joblib ```
luigi (🥇33 · ⭐ 14K) - Luigi is a Python module that helps you build complex pipelines of batch.. Apache-2 - [GitHub](https://github.com/spotify/luigi) (👨‍💻 550 · 🔀 2.2K · 📦 1.3K · 📋 900 - 7% open · ⏱️ 14.01.2021): ``` git clone https://github.com/spotify/luigi ``` - [PyPi](https://pypi.org/project/luigi) (📥 340K / month · 📦 680 · ⏱️ 23.09.2020): ``` pip install luigi ``` - [Conda](https://anaconda.org/anaconda/luigi) (📥 6.3K · ⏱️ 21.07.2020): ``` conda install -c anaconda luigi ```
rq (🥇33 · ⭐ 7.5K) - Simple job queues for Python. BSD-3 - [GitHub](https://github.com/rq/rq) (👨‍💻 220 · 🔀 1.2K · 📦 7.1K · 📋 810 - 17% open · ⏱️ 19.01.2021): ``` git clone https://github.com/rq/rq ``` - [PyPi](https://pypi.org/project/rq) (📥 210K / month · 📦 3.3K · ⏱️ 29.11.2020): ``` pip install rq ``` - [Conda](https://anaconda.org/conda-forge/rq) (📥 43K · ⏱️ 29.11.2020): ``` conda install -c conda-forge rq ```
Beam (🥈32 · ⭐ 4.5K) - Unified programming model to define and execute data processing.. Apache-2 - [GitHub](https://github.com/apache/beam) (👨‍💻 1K · 🔀 2.8K · ⏱️ 20.01.2021): ``` git clone https://github.com/apache/beam ``` - [PyPi](https://pypi.org/project/apache-beam) (📥 1.3M / month · 📦 190 · ⏱️ 08.01.2021): ``` pip install apache-beam ```
Prefect (🥈30 · ⭐ 5.7K) - The easiest way to automate your data. Apache-2 - [GitHub](https://github.com/PrefectHQ/prefect) (👨‍💻 180 · 🔀 500 · 📦 240 · 📋 1.5K - 14% open · ⏱️ 21.01.2021): ``` git clone https://github.com/PrefectHQ/prefect ``` - [PyPi](https://pypi.org/project/prefect) (📥 43K / month · 📦 2 · ⏱️ 19.01.2021): ``` pip install prefect ``` - [Conda](https://anaconda.org/conda-forge/prefect) (📥 66K · ⏱️ 20.01.2021): ``` conda install -c conda-forge prefect ```
mrjob (🥈30 · ⭐ 2.5K) - Run MapReduce jobs on Hadoop or Amazon Web Services. Apache-2 - [GitHub](https://github.com/Yelp/mrjob) (👨‍💻 140 · 🔀 590 · 📦 660 · 📋 1.3K - 15% open · ⏱️ 16.11.2020): ``` git clone https://github.com/Yelp/mrjob ``` - [PyPi](https://pypi.org/project/mrjob) (📥 99K / month · 📦 110 · ⏱️ 17.09.2020): ``` pip install mrjob ``` - [Conda](https://anaconda.org/conda-forge/mrjob) (📥 310K · ⏱️ 24.12.2020): ``` conda install -c conda-forge mrjob ```
Kedro (🥈28 · ⭐ 3.3K) - A Python framework for creating reproducible, maintainable and modular.. Apache-2 - [GitHub](https://github.com/quantumblacklabs/kedro) (👨‍💻 94 · 🔀 380 · 📦 360 · 📋 430 - 20% open · ⏱️ 21.01.2021): ``` git clone https://github.com/quantumblacklabs/kedro ``` - [PyPi](https://pypi.org/project/kedro) (📥 50K / month · 📦 16 · ⏱️ 17.12.2020): ``` pip install kedro ```
dbt (🥈28 · ⭐ 2.4K) - dbt (data build tool) enables data analysts and engineers to transform.. Apache-2 - [GitHub](https://github.com/fishtown-analytics/dbt) (👨‍💻 130 · 🔀 480 · 📦 170 · 📋 1.7K - 15% open · ⏱️ 21.01.2021): ``` git clone https://github.com/fishtown-analytics/dbt ``` - [PyPi](https://pypi.org/project/dbt) (📥 96K / month · 📦 18 · ⏱️ 14.01.2021): ``` pip install dbt ``` - [Conda](https://anaconda.org/conda-forge/dbt) (📥 150K · ⏱️ 14.05.2020): ``` conda install -c conda-forge dbt ```
faust (🥈27 · ⭐ 5.2K) - Python Stream Processing. BSD-3 - [GitHub](https://github.com/robinhood/faust) (👨‍💻 91 · 🔀 420 · 📦 590 · 📋 440 - 50% open · ⏱️ 09.10.2020): ``` git clone https://github.com/robinhood/faust ``` - [PyPi](https://pypi.org/project/faust) (📥 50K / month · 📦 28 · ⏱️ 25.02.2020): ``` pip install faust ```
Dagster (🥈27 · ⭐ 2.8K) - A data orchestrator for machine learning, analytics, and ETL. Apache-2 - [GitHub](https://github.com/dagster-io/dagster) (👨‍💻 110 · 🔀 270 · 📦 130 · 📋 2.4K - 24% open · ⏱️ 21.01.2021): ``` git clone https://github.com/dagster-io/dagster ``` - [PyPi](https://pypi.org/project/dagster) (📥 22K / month · 📦 4 · ⏱️ 15.01.2021): ``` pip install dagster ``` - [Conda](https://anaconda.org/conda-forge/dagster) (📥 130K · ⏱️ 04.12.2020): ``` conda install -c conda-forge dagster ```
petl (🥈27 · ⭐ 810) - Python Extract Transform and Load Tables of Data. MIT - [GitHub](https://github.com/petl-developers/petl) (👨‍💻 44 · 🔀 150 · 📦 310 · 📋 410 - 16% open · ⏱️ 18.01.2021): ``` git clone https://github.com/petl-developers/petl ``` - [PyPi](https://pypi.org/project/petl) (📥 12K / month · 📦 110 · ⏱️ 06.10.2020): ``` pip install petl ``` - [Conda](https://anaconda.org/conda-forge/petl) (📥 19K · ⏱️ 29.12.2020): ``` conda install -c conda-forge petl ```
PyFunctional (🥈26 · ⭐ 1.8K) - Python library for creating data pipelines with chain functional.. MIT - [GitHub](https://github.com/EntilZha/PyFunctional) (👨‍💻 23 · 🔀 99 · 📦 250 · 📋 120 - 1% open · ⏱️ 12.01.2021): ``` git clone https://github.com/EntilZha/PyFunctional ``` - [PyPi](https://pypi.org/project/pyfunctional) (📥 28K / month · ⏱️ 12.01.2021): ``` pip install pyfunctional ```
TFX (🥈26 · ⭐ 1.3K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2 - [GitHub](https://github.com/tensorflow/tfx) (👨‍💻 100 · 🔀 370 · 📋 500 - 39% open · ⏱️ 21.01.2021): ``` git clone https://github.com/tensorflow/tfx ``` - [PyPi](https://pypi.org/project/tfx) (📥 100K / month · 📦 4 · ⏱️ 06.01.2021): ``` pip install tfx ```
streamparse (🥉25 · ⭐ 1.4K) - Run Python in Apache Storm topologies. Pythonic API, CLI.. Apache-2 - [GitHub](https://github.com/Parsely/streamparse) (👨‍💻 40 · 🔀 220 · 📦 47 · 📋 330 - 20% open · ⏱️ 18.12.2020): ``` git clone https://github.com/Parsely/streamparse ``` - [PyPi](https://pypi.org/project/streamparse) (📥 1.5K / month · 📦 26 · ⏱️ 07.10.2020): ``` pip install streamparse ```
Great Expectations (🥉23 · ⭐ 3.5K) - Always know what to expect from your data. Apache-2 - [GitHub](https://github.com/great-expectations/great_expectations) (👨‍💻 140 · 🔀 390 · 📋 760 - 22% open · ⏱️ 21.01.2021): ``` git clone https://github.com/great-expectations/great_expectations ``` - [PyPi](https://pypi.org/project/great_expectations) (📥 330K / month · 📦 6 · ⏱️ 19.01.2021): ``` pip install great_expectations ```
bonobo (🥉23 · ⭐ 1.4K) - Extract Transform Load for Python 3.5+. Apache-2 - [GitHub](https://github.com/python-bonobo/bonobo) (👨‍💻 36 · 🔀 110 · 📦 110 · 📋 170 - 36% open · ⏱️ 01.01.2021): ``` git clone https://github.com/python-bonobo/bonobo ``` - [PyPi](https://pypi.org/project/bonobo) (📥 2K / month · 📦 24 · ⏱️ 20.07.2019): ``` pip install bonobo ```
Optimus (🥉23 · ⭐ 970) - Agile Data Preparation Workflows madeeasy with dask, cudf,.. Apache-2 - [GitHub](https://github.com/ironmussa/Optimus) (👨‍💻 21 · 🔀 190 · 📦 12 · 📋 300 - 45% open · ⏱️ 20.01.2021): ``` git clone https://github.com/ironmussa/Optimus ``` - [PyPi](https://pypi.org/project/optimuspyspark) (📥 4.5K / month · ⏱️ 30.05.2019): ``` pip install optimuspyspark ```
pysparkling (🥉23 · ⭐ 230) - A pure Python implementation of Apache Spark's RDD and DStream.. MIT - [GitHub](https://github.com/svenkreiss/pysparkling) (👨‍💻 9 · 🔀 43 · 📦 56 · 📋 21 - 4% open · ⏱️ 10.01.2021): ``` git clone https://github.com/svenkreiss/pysparkling ``` - [PyPi](https://pypi.org/project/pysparkling) (📥 4.5K / month · 📦 14 · ⏱️ 10.01.2021): ``` pip install pysparkling ```
Pypeline (🥉21 · ⭐ 1.2K) - Concurrent data pipelines in Python . MIT - [GitHub](https://github.com/cgarciae/pypeln) (👨‍💻 9 · 🔀 66 · 📋 47 - 25% open · ⏱️ 05.01.2021): ``` git clone https://github.com/cgarciae/pypeln ``` - [PyPi](https://pypi.org/project/pypeln) (📥 2.4K / month · 📦 5 · ⏱️ 05.01.2021): ``` pip install pypeln ```
dpark (🥉20 · ⭐ 2.6K) - Python clone of Spark, a MapReduce alike framework in Python. BSD-3 - [GitHub](https://github.com/douban/dpark) (👨‍💻 35 · 🔀 550 · 📦 3 · ⏱️ 25.12.2020): ``` git clone https://github.com/douban/dpark ``` - [PyPi](https://pypi.org/project/dpark) (📥 10 / month · 📦 1 · ⏱️ 27.07.2018): ``` pip install dpark ```
mrq (🥉20 · ⭐ 830) - Mr. Queue - A distributed worker task queue in Python using Redis & gevent. MIT - [GitHub](https://github.com/pricingassistant/mrq) (👨‍💻 37 · 🔀 110 · 📦 23 · 📋 180 - 32% open · ⏱️ 13.12.2020): ``` git clone https://github.com/pricingassistant/mrq ``` - [PyPi](https://pypi.org/project/mrq) (📥 180 / month · 📦 12 · ⏱️ 31.08.2018): ``` pip install mrq ```
pdpipe (🥉20 · ⭐ 580) - Easy pipelines for pandas DataFrames. MIT - [GitHub](https://github.com/pdpipe/pdpipe) (👨‍💻 8 · 🔀 29 · 📦 23 · 📋 20 - 30% open · ⏱️ 19.01.2021): ``` git clone https://github.com/pdpipe/pdpipe ``` - [PyPi](https://pypi.org/project/pdpipe) (📥 730 / month · ⏱️ 09.11.2020): ``` pip install pdpipe ```
TaskTiger (🥉19 · ⭐ 1K) - Python task queue using Redis. MIT - [GitHub](https://github.com/closeio/tasktiger) (👨‍💻 19 · 🔀 58 · 📦 19 · 📋 61 - 49% open · ⏱️ 17.12.2020): ``` git clone https://github.com/closeio/tasktiger ``` - [PyPi](https://pypi.org/project/tasktiger) (📥 300 / month · 📦 9 · ⏱️ 18.06.2020): ``` pip install tasktiger ```
spark-deep-learning (🥉18 · ⭐ 1.8K) - Deep Learning Pipelines for Apache Spark. Apache-2 - [GitHub](https://github.com/databricks/spark-deep-learning) (👨‍💻 15 · 🔀 440 · 📦 16 · 📋 99 - 73% open · ⏱️ 20.01.2021): ``` git clone https://github.com/databricks/spark-deep-learning ```
riko (🥉18 · ⭐ 1.6K) - A Python stream processing engine modeled after Yahoo! Pipes. MIT - [GitHub](https://github.com/nerevu/riko) (👨‍💻 18 · 🔀 72 · 📋 30 - 73% open · ⏱️ 14.08.2020): ``` git clone https://github.com/nerevu/riko ``` - [PyPi](https://pypi.org/project/riko) (📥 120 / month · 📦 1 · ⏱️ 14.08.2020): ``` pip install riko ```
Databolt Flow (🥉18 · ⭐ 890) - Python library for building highly effective data science workflows. MIT - [GitHub](https://github.com/d6t/d6tflow) (👨‍💻 10 · 🔀 64 · 📦 12 · 📋 16 - 31% open · ⏱️ 19.12.2020): ``` git clone https://github.com/d6t/d6tflow ``` - [PyPi](https://pypi.org/project/d6tflow) (📥 140 / month · ⏱️ 19.12.2020): ``` pip install d6tflow ```
flupy (🥉18 · ⭐ 150) - Fluent data pipelines for python and your shell. MIT - [GitHub](https://github.com/olirice/flupy) (👨‍💻 4 · 🔀 9 · ⏱️ 06.01.2021): ``` git clone https://github.com/olirice/flupy ``` - [PyPi](https://pypi.org/project/flupy) (📥 2.1K / month · ⏱️ 06.01.2021): ``` pip install flupy ```
Mara Pipelines (🥉17 · ⭐ 1.6K) - A lightweight opinionated ETL framework, halfway between plain.. MIT - [GitHub](https://github.com/mara/mara-pipelines) (👨‍💻 15 · 🔀 76 · 📦 7 · 📋 17 - 35% open · ⏱️ 31.07.2020): ``` git clone https://github.com/mara/mara-pipelines ``` - [PyPi](https://pypi.org/project/mara-pipelines) (📥 26 / month · ⏱️ 31.07.2020): ``` pip install mara-pipelines ```
BatchFlow (🥉17 · ⭐ 150) - BatchFlow helps you conveniently work with random or sequential.. Apache-2 - [GitHub](https://github.com/analysiscenter/batchflow) (👨‍💻 28 · 🔀 33 · 📋 100 - 49% open · ⏱️ 20.01.2021): ``` git clone https://github.com/analysiscenter/batchflow ``` - [PyPi](https://pypi.org/project/batchflow) (📥 13 / month · ⏱️ 23.08.2019): ``` pip install batchflow ```
zenml (🥉15 · ⭐ 400 · 🐣) - ZenML: Bring Zen to your ML with reproducible pipelines. Apache-2 - [GitHub](https://github.com/maiot-io/zenml) (👨‍💻 7 · 🔀 24 · 📦 1 · 📋 4 - 25% open · ⏱️ 21.01.2021): ``` git clone https://github.com/maiot-io/zenml ``` - [PyPi](https://pypi.org/project/zenml) (📥 220 / month · ⏱️ 19.01.2021): ``` pip install zenml ```
Show 2 hidden projects... - ploomber (🥉18 · ⭐ 110) - A convention over configuration workflow orchestrator. Develop.. Apache-2 - Botflow (🥉16 · ⭐ 1.2K · 💀) - Python Fast Dataflow programming framework for Data pipeline work(.. BSD-3

## Distributed Machine Learning Back to top _Libraries that provide capabilities to distribute and parallelize machine learning tasks across large-scale compute infrastructure._
dask (🥇35 · ⭐ 7.8K) - Parallel computing with task scheduling. BSD-3 - [GitHub](https://github.com/dask/dask) (👨‍💻 420 · 🔀 1.2K · 📦 25K · 📋 3.5K - 20% open · ⏱️ 20.01.2021): ``` git clone https://github.com/dask/dask ``` - [PyPi](https://pypi.org/project/dask) (📥 1.2M / month · 📦 3.9K · ⏱️ 15.01.2021): ``` pip install dask ``` - [Conda](https://anaconda.org/conda-forge/dask) (📥 2.9M · ⏱️ 16.01.2021): ``` conda install -c conda-forge dask ```
dask.distributed (🥇34 · ⭐ 1.1K) - A distributed task scheduler for Dask. BSD-3 - [GitHub](https://github.com/dask/distributed) (👨‍💻 230 · 🔀 510 · 📦 16K · 📋 2K - 36% open · ⏱️ 20.01.2021): ``` git clone https://github.com/dask/distributed ``` - [PyPi](https://pypi.org/project/distributed) (📥 720K / month · 📦 1.8K · ⏱️ 15.01.2021): ``` pip install distributed ``` - [Conda](https://anaconda.org/conda-forge/distributed) (📥 3.5M · ⏱️ 18.01.2021): ``` conda install -c conda-forge distributed ```
Ray (🥇33 · ⭐ 15K) - An open source framework that provides a simple, universal API for.. Apache-2 - [GitHub](https://github.com/ray-project/ray) (👨‍💻 420 · 🔀 2.3K · 📦 1.5K · 📋 5.8K - 21% open · ⏱️ 21.01.2021): ``` git clone https://github.com/ray-project/ray ``` - [PyPi](https://pypi.org/project/ray) (📥 150K / month · 📦 160 · ⏱️ 24.12.2020): ``` pip install ray ```
horovod (🥈30 · ⭐ 11K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2 - [GitHub](https://github.com/horovod/horovod) (👨‍💻 110 · 🔀 1.7K · 📦 310 · 📋 1.7K - 15% open · ⏱️ 20.01.2021): ``` git clone https://github.com/horovod/horovod ``` - [PyPi](https://pypi.org/project/horovod) (📥 110K / month · 📦 40 · ⏱️ 07.01.2021): ``` pip install horovod ```
ipyparallel (🥈29 · ⭐ 1.9K) - Interactive Parallel Computing in Python. BSD-3 - [GitHub](https://github.com/ipython/ipyparallel) (👨‍💻 94 · 🔀 730 · 📦 1.4K · 📋 250 - 56% open · ⏱️ 24.08.2020): ``` git clone https://github.com/ipython/ipyparallel ``` - [PyPi](https://pypi.org/project/ipyparallel) (📥 62K / month · 📦 490 · ⏱️ 05.05.2020): ``` pip install ipyparallel ``` - [Conda](https://anaconda.org/conda-forge/ipyparallel) (📥 370K · ⏱️ 14.12.2020): ``` conda install -c conda-forge ipyparallel ```
Mesh (🥈26 · ⭐ 690) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2 - [GitHub](https://github.com/tensorflow/mesh) (👨‍💻 38 · 🔀 120 · 📦 490 · 📋 84 - 85% open · ⏱️ 19.01.2021): ``` git clone https://github.com/tensorflow/mesh ``` - [PyPi](https://pypi.org/project/mesh-tensorflow) (📥 85K / month · 📦 28 · ⏱️ 17.12.2020): ``` pip install mesh-tensorflow ```
dask-ml (🥈26 · ⭐ 680) - Scalable Machine Learning with Dask. BSD-3 - [GitHub](https://github.com/dask/dask-ml) (👨‍💻 61 · 🔀 180 · 📦 330 · 📋 370 - 46% open · ⏱️ 05.01.2021): ``` git clone https://github.com/dask/dask-ml ``` - [PyPi](https://pypi.org/project/dask-ml) (📥 26K / month · 📦 42 · ⏱️ 24.09.2020): ``` pip install dask-ml ``` - [Conda](https://anaconda.org/conda-forge/dask-ml) (📥 190K · ⏱️ 24.09.2020): ``` conda install -c conda-forge dask-ml ```
BigDL (🥈25 · ⭐ 3.7K) - BigDL: Distributed Deep Learning Framework for Apache Spark. Apache-2 - [GitHub](https://github.com/intel-analytics/BigDL) (👨‍💻 71 · 🔀 900 · 📦 22 · 📋 900 - 19% open · ⏱️ 21.01.2021): ``` git clone https://github.com/intel-analytics/BigDL ``` - [PyPi](https://pypi.org/project/bigdl) (📥 1.2K / month · 📦 6 · ⏱️ 29.12.2020): ``` pip install bigdl ``` - [Maven](https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4) (⏱️ 05.12.2020): ``` com.intel.analytics.bigdl bigdl-SPARK_2.4 [VERSION] ```
TensorFlowOnSpark (🥈25 · ⭐ 3.6K) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2 - [GitHub](https://github.com/yahoo/TensorFlowOnSpark) (👨‍💻 33 · 🔀 930 · 📋 340 - 1% open · ⏱️ 21.12.2020): ``` git clone https://github.com/yahoo/TensorFlowOnSpark ``` - [PyPi](https://pypi.org/project/tensorflowonspark) (📥 65K / month · 📦 5 · ⏱️ 18.12.2020): ``` pip install tensorflowonspark ```
mpi4py (🥈25 · ⭐ 370) - Python bindings for MPI. BSD-3 - [GitHub](https://github.com/mpi4py/mpi4py) (👨‍💻 13 · 🔀 61 · 📥 810 · 📋 5 - 40% open · ⏱️ 20.01.2021): ``` git clone https://github.com/mpi4py/mpi4py ``` - [PyPi](https://pypi.org/project/mpi4py) (📥 130K / month · 📦 700 · ⏱️ 04.11.2019): ``` pip install mpi4py ``` - [Conda](https://anaconda.org/conda-forge/mpi4py) (📥 510K · ⏱️ 19.01.2021): ``` conda install -c conda-forge mpi4py ```
Elephas (🥉24 · ⭐ 1.4K) - Distributed Deep learning with Keras & Spark. MIT keras - [GitHub](https://github.com/maxpumperla/elephas) (👨‍💻 26 · 🔀 290 · 📦 36 · 📋 130 - 18% open · ⏱️ 19.01.2021): ``` git clone https://github.com/maxpumperla/elephas ``` - [PyPi](https://pypi.org/project/elephas) (📥 7.7K / month · 📦 3 · ⏱️ 19.01.2021): ``` pip install elephas ```
petastorm (🥉24 · ⭐ 1.1K) - Petastorm library enables single machine or distributed training.. Apache-2 - [GitHub](https://github.com/uber/petastorm) (👨‍💻 37 · 🔀 180 · 📥 290 · 📦 24 · 📋 230 - 52% open · ⏱️ 20.01.2021): ``` git clone https://github.com/uber/petastorm ``` - [PyPi](https://pypi.org/project/petastorm) (📥 29K / month · ⏱️ 15.12.2020): ``` pip install petastorm ```
DeepSpeed (🥉23 · ⭐ 4K) - DeepSpeed is a deep learning optimization library that makes.. MIT - [GitHub](https://github.com/microsoft/DeepSpeed) (👨‍💻 39 · 🔀 360 · 📦 8 · 📋 270 - 43% open · ⏱️ 20.01.2021): ``` git clone https://github.com/microsoft/DeepSpeed ``` - [PyPi](https://pypi.org/project/deepspeed) (📥 1.5K / month · ⏱️ 08.01.2021): ``` pip install deepspeed ``` - [Docker Hub](https://hub.docker.com/r/deepspeed/deepspeed) (📥 6.8K · ⭐ 2 · ⏱️ 20.11.2020): ``` docker pull deepspeed/deepspeed ```
MMLSpark (🥉23 · ⭐ 2.2K) - Microsoft Machine Learning for Apache Spark. MIT - [GitHub](https://github.com/Azure/mmlspark) (👨‍💻 61 · 🔀 490 · 📋 410 - 48% open · ⏱️ 19.01.2021): ``` git clone https://github.com/Azure/mmlspark ``` - [PyPi](https://pypi.org/project/mmlspark) (📥 30K / month · ⏱️ 18.03.2020): ``` pip install mmlspark ```
analytics-zoo (🥉22 · ⭐ 2.2K) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2 - [GitHub](https://github.com/intel-analytics/analytics-zoo) (👨‍💻 81 · 🔀 630 · 📦 2 · 📋 940 - 45% open · ⏱️ 21.01.2021): ``` git clone https://github.com/intel-analytics/analytics-zoo ``` - [PyPi](https://pypi.org/project/analytics-zoo) (📥 640 / month · ⏱️ 20.01.2021): ``` pip install analytics-zoo ```
Submit it (🥉20 · ⭐ 300) - Python 3.6+ toolbox for submitting jobs to Slurm. MIT - [GitHub](https://github.com/facebookincubator/submitit) (👨‍💻 9 · 🔀 17 · 📦 76 · 📋 24 - 41% open · ⏱️ 15.01.2021): ``` git clone https://github.com/facebookincubator/submitit ``` - [PyPi](https://pypi.org/project/submitit) (📥 2.1K / month · ⏱️ 01.12.2020): ``` pip install submitit ``` - [Conda](https://anaconda.org/conda-forge/submitit) (📥 810 · ⏱️ 19.11.2020): ``` conda install -c conda-forge submitit ```
BytePS (🥉19 · ⭐ 2.7K) - A high performance and generic framework for distributed DNN training. Apache-2 - [GitHub](https://github.com/bytedance/byteps) (👨‍💻 16 · 🔀 360 · 📋 210 - 33% open · ⏱️ 18.01.2021): ``` git clone https://github.com/bytedance/byteps ``` - [PyPi](https://pypi.org/project/byteps) (📥 57 / month · ⏱️ 04.11.2020): ``` pip install byteps ``` - [Docker Hub](https://hub.docker.com/r/bytepsimage/tensorflow) (📥 970 · ⏱️ 03.03.2020): ``` docker pull bytepsimage/tensorflow ```
Apache Singa (🥉19 · ⭐ 2.2K) - a distributed deep learning platform. Apache-2 - [GitHub](https://github.com/apache/singa) (👨‍💻 70 · 🔀 570 · 📋 81 - 60% open · ⏱️ 15.01.2021): ``` git clone https://github.com/apache/singa ``` - [Conda](https://anaconda.org/nusdbsystem/singa) (📥 250 · ⏱️ 20.01.2021): ``` conda install -c nusdbsystem singa ``` - [Docker Hub](https://hub.docker.com/r/apache/singa) (📥 160 · ⭐ 2 · ⏱️ 04.06.2019): ``` docker pull apache/singa ```
FairScale (🥉19 · ⭐ 700 · 🐣) - PyTorch extensions for high performance and large scale.. BSD-3 - [GitHub](https://github.com/facebookresearch/fairscale) (👨‍💻 19 · 🔀 46 · 📦 2 · 📋 86 - 32% open · ⏱️ 21.01.2021): ``` git clone https://github.com/facebookresearch/fairscale ``` - [PyPi](https://pypi.org/project/fairscale) (📥 1.7K / month · ⏱️ 07.01.2021): ``` pip install fairscale ```
sk-dist (🥉18 · ⭐ 250) - Distributed scikit-learn meta-estimators in PySpark. Apache-2 - [GitHub](https://github.com/Ibotta/sk-dist) (👨‍💻 6 · 🔀 42 · 📦 6 · 📋 16 - 43% open · ⏱️ 07.01.2021): ``` git clone https://github.com/Ibotta/sk-dist ``` - [PyPi](https://pypi.org/project/sk-dist) (📥 3.3K / month · 📦 2 · ⏱️ 14.05.2020): ``` pip install sk-dist ```
Fiber (🥉17 · ⭐ 840) - Distributed Computing for AI Made Simple. Apache-2 - [GitHub](https://github.com/uber/fiber) (👨‍💻 5 · 🔀 89 · 📦 17 · 📋 18 - 72% open · ⏱️ 06.10.2020): ``` git clone https://github.com/uber/fiber ``` - [PyPi](https://pypi.org/project/fiber) (📥 880 / month · 📦 1 · ⏱️ 09.07.2020): ``` pip install fiber ```
somoclu (🥉17 · ⭐ 220) - Massively parallel self-organizing maps: accelerate training on multicore.. MIT - [GitHub](https://github.com/peterwittek/somoclu) (👨‍💻 17 · 🔀 56 · 📥 1.4K · 📋 130 - 19% open · ⏱️ 24.07.2020): ``` git clone https://github.com/peterwittek/somoclu ``` - [PyPi](https://pypi.org/project/somoclu) (📥 1.1K / month · 📦 2 · ⏱️ 25.04.2020): ``` pip install somoclu ``` - [Conda](https://anaconda.org/conda-forge/somoclu) (📥 39K · ⏱️ 13.10.2020): ``` conda install -c conda-forge somoclu ```
Hivemind (🥉16 · ⭐ 640) - Decentralized deep learning in PyTorch. Built to train models on.. MIT - [GitHub](https://github.com/learning-at-home/hivemind) (👨‍💻 8 · 🔀 30 · 📦 1 · 📋 32 - 46% open · ⏱️ 20.01.2021): ``` git clone https://github.com/learning-at-home/hivemind ``` - [PyPi](https://pypi.org/project/hivemind) (📥 11 / month · 📦 1 · ⏱️ 28.08.2020): ``` pip install hivemind ```
Show 3 hidden projects... - DEAP (🥈28 · ⭐ 4K) - Distributed Evolutionary Algorithms in Python. ❗️LGPL-3.0 - TensorFrames (🥉19 · ⭐ 770 · 💀) - [DEPRECATED] Tensorflow wrapper for DataFrames on.. Apache-2 - LazyCluster (🥉12 · ⭐ 33) - Distributed machine learning made simple. Apache-2

## Hyperparameter Optimization & AutoML Back to top _Libraries for hyperparameter optimization, automl and neural architecture search._
Optuna (🥇31 · ⭐ 3.9K) - A hyperparameter optimization framework. MIT - [GitHub](https://github.com/optuna/optuna) (👨‍💻 120 · 🔀 450 · 📦 880 · 📋 660 - 28% open · ⏱️ 21.01.2021): ``` git clone https://github.com/optuna/optuna ``` - [PyPi](https://pypi.org/project/optuna) (📥 150K / month · 📦 52 · ⏱️ 04.11.2020): ``` pip install optuna ``` - [Conda](https://anaconda.org/conda-forge/optuna) (📥 17K · ⏱️ 13.01.2021): ``` conda install -c conda-forge optuna ```
Hyperopt (🥇30 · ⭐ 5.4K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3 - [GitHub](https://github.com/hyperopt/hyperopt) (👨‍💻 84 · 🔀 840 · 📦 2.5K · 📋 550 - 59% open · ⏱️ 24.12.2020): ``` git clone https://github.com/hyperopt/hyperopt ``` - [PyPi](https://pypi.org/project/hyperopt) (📥 370K / month · 📦 500 · ⏱️ 07.10.2020): ``` pip install hyperopt ``` - [Conda](https://anaconda.org/conda-forge/hyperopt) (📥 160K · ⏱️ 14.10.2020): ``` conda install -c conda-forge hyperopt ```
scikit-optimize (🥇30 · ⭐ 2K · 📉) - Sequential model-based optimization with a.. BSD-3 - [GitHub](https://github.com/scikit-optimize/scikit-optimize) (👨‍💻 68 · 🔀 370 · 📦 1.3K · 📋 520 - 31% open · ⏱️ 31.12.2020): ``` git clone https://github.com/scikit-optimize/scikit-optimize ``` - [PyPi](https://pypi.org/project/scikit-optimize) (📥 430K / month · 📦 160 · ⏱️ 04.09.2020): ``` pip install scikit-optimize ``` - [Conda](https://anaconda.org/conda-forge/scikit-optimize) (📥 190K · ⏱️ 04.09.2020): ``` conda install -c conda-forge scikit-optimize ```
Keras Tuner (🥇28 · ⭐ 2.2K) - Hyperparameter tuning for humans. Apache-2 - [GitHub](https://github.com/keras-team/keras-tuner) (👨‍💻 28 · 🔀 260 · 📦 360 · 📋 280 - 51% open · ⏱️ 09.12.2020): ``` git clone https://github.com/keras-team/keras-tuner ``` - [PyPi](https://pypi.org/project/keras-tuner) (📥 200K / month · 📦 2 · ⏱️ 20.11.2020): ``` pip install keras-tuner ```
NNI (🥈27 · ⭐ 8.7K) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT - [GitHub](https://github.com/microsoft/nni) (👨‍💻 120 · 🔀 1.1K · 📦 79 · 📋 1.1K - 21% open · ⏱️ 20.01.2021): ``` git clone https://github.com/microsoft/nni ``` - [PyPi](https://pypi.org/project/nni) (📥 1.7K / month · 📦 16 · ⏱️ 14.01.2021): ``` pip install nni ```
AutoKeras (🥈27 · ⭐ 7.7K) - AutoML library for deep learning. Apache-2 - [GitHub](https://github.com/keras-team/autokeras) (👨‍💻 130 · 🔀 1.2K · 📦 140 · 📋 720 - 8% open · ⏱️ 04.01.2021): ``` git clone https://github.com/keras-team/autokeras ``` - [PyPi](https://pypi.org/project/autokeras) (📥 4.6K / month · 📦 7 · ⏱️ 30.11.2020): ``` pip install autokeras ```
featuretools (🥈27 · ⭐ 5.3K · 📉) - An open source python library for automated feature.. BSD-3 - [GitHub](https://github.com/alteryx/featuretools) (👨‍💻 49 · 🔀 690 · 📦 660 · 📋 500 - 22% open · ⏱️ 20.01.2021): ``` git clone https://github.com/alteryx/featuretools ``` - [PyPi](https://pypi.org/project/featuretools) (📥 56K / month · 📦 70 · ⏱️ 31.12.2020): ``` pip install featuretools ``` - [Conda](https://anaconda.org/conda-forge/featuretools) (📥 43K · ⏱️ 05.01.2021): ``` conda install -c conda-forge featuretools ```
auto-sklearn (🥈26 · ⭐ 5.2K) - Automated Machine Learning with scikit-learn. BSD-3 - [GitHub](https://github.com/automl/auto-sklearn) (👨‍💻 63 · 🔀 970 · 📦 130 · 📋 680 - 17% open · ⏱️ 04.01.2021): ``` git clone https://github.com/automl/auto-sklearn ``` - [PyPi](https://pypi.org/project/auto-sklearn) (📥 6.3K / month · 📦 30 · ⏱️ 04.01.2021): ``` pip install auto-sklearn ```
Bayesian Optimization (🥈26 · ⭐ 4.8K) - A Python implementation of global optimization with.. MIT - [GitHub](https://github.com/fmfn/BayesianOptimization) (👨‍💻 27 · 🔀 1.1K · 📥 46 · 📦 570 · 📋 200 - 17% open · ⏱️ 19.12.2020): ``` git clone https://github.com/fmfn/BayesianOptimization ``` - [PyPi](https://pypi.org/project/bayesian-optimization) (📥 46K / month · 📦 92 · ⏱️ 16.05.2020): ``` pip install bayesian-optimization ```
AutoGluon (🥈26 · ⭐ 2.9K) - AutoGluon: AutoML for Text, Image, and Tabular Data. Apache-2 - [GitHub](https://github.com/awslabs/autogluon) (👨‍💻 50 · 🔀 380 · 📦 44 · 📋 370 - 41% open · ⏱️ 21.01.2021): ``` git clone https://github.com/awslabs/autogluon ``` - [PyPi](https://pypi.org/project/autogluon) (📥 19K / month · ⏱️ 20.01.2021): ``` pip install autogluon ```
BoTorch (🥈26 · ⭐ 1.8K) - Bayesian optimization in PyTorch. MIT - [GitHub](https://github.com/pytorch/botorch) (👨‍💻 50 · 🔀 170 · 📦 74 · 📋 150 - 26% open · ⏱️ 18.01.2021): ``` git clone https://github.com/pytorch/botorch ``` - [PyPi](https://pypi.org/project/botorch) (📥 24K / month · ⏱️ 08.12.2020): ``` pip install botorch ```
SMAC3 (🥈26 · ⭐ 550) - Sequential Model-based Algorithm Configuration. BSD-3 - [GitHub](https://github.com/automl/SMAC3) (👨‍💻 30 · 🔀 150 · 📋 330 - 23% open · ⏱️ 29.10.2020): ``` git clone https://github.com/automl/SMAC3 ``` - [PyPi](https://pypi.org/project/smac) (📥 8.5K / month · 📦 58 · ⏱️ 29.10.2020): ``` pip install smac ```
nevergrad (🥈25 · ⭐ 2.8K) - A Python toolbox for performing gradient-free optimization. MIT - [GitHub](https://github.com/facebookresearch/nevergrad) (👨‍💻 42 · 🔀 270 · 📦 120 · 📋 200 - 40% open · ⏱️ 19.01.2021): ``` git clone https://github.com/facebookresearch/nevergrad ``` - [PyPi](https://pypi.org/project/nevergrad) (📥 6.8K / month · 📦 14 · ⏱️ 19.01.2021): ``` pip install nevergrad ``` - [Conda](https://anaconda.org/conda-forge/nevergrad) (📥 5.7K · ⏱️ 14.12.2020): ``` conda install -c conda-forge nevergrad ```
Ax (🥈25 · ⭐ 1.4K) - Adaptive Experimentation Platform. MIT - [GitHub](https://github.com/facebook/Ax) (👨‍💻 91 · 🔀 140 · 📦 120 · 📋 210 - 16% open · ⏱️ 17.01.2021): ``` git clone https://github.com/facebook/Ax ``` - [PyPi](https://pypi.org/project/ax-platform) (📥 14K / month · 📦 4 · ⏱️ 08.12.2020): ``` pip install ax-platform ```
Hyperas (🥈24 · ⭐ 2.1K) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT - [GitHub](https://github.com/maxpumperla/hyperas) (👨‍💻 21 · 🔀 300 · 📋 250 - 35% open · ⏱️ 22.12.2020): ``` git clone https://github.com/maxpumperla/hyperas ``` - [PyPi](https://pypi.org/project/hyperas) (📥 12K / month · 📦 21 · ⏱️ 28.02.2019): ``` pip install hyperas ```
GPyOpt (🥈24 · ⭐ 700) - Gaussian Process Optimization using GPy. BSD-3 - [GitHub](https://github.com/SheffieldML/GPyOpt) (👨‍💻 49 · 🔀 220 · 📦 170 · 📋 290 - 34% open · ⏱️ 05.11.2020): ``` git clone https://github.com/SheffieldML/GPyOpt ``` - [PyPi](https://pypi.org/project/gpyopt) (📥 4.2K / month · 📦 36 · ⏱️ 19.03.2020): ``` pip install gpyopt ```
Talos (🥉22 · ⭐ 1.4K) - Hyperparameter Optimization for TensorFlow, Keras and PyTorch. MIT - [GitHub](https://github.com/autonomio/talos) (👨‍💻 19 · 🔀 220 · 📦 110 · 📋 380 - 10% open · ⏱️ 21.11.2020): ``` git clone https://github.com/autonomio/talos ``` - [PyPi](https://pypi.org/project/talos) (📥 970 / month · 📦 6 · ⏱️ 09.11.2020): ``` pip install talos ```
Orion (🥉22 · ⭐ 180) - Asynchronous Distributed Hyperparameter Optimization. BSD-3 - [GitHub](https://github.com/Epistimio/orion) (👨‍💻 18 · 🔀 35 · 📦 39 · 📋 120 - 16% open · ⏱️ 19.01.2021): ``` git clone https://github.com/Epistimio/orion ``` - [PyPi](https://pypi.org/project/orion) (📥 1K / month · 📦 8 · ⏱️ 19.01.2021): ``` pip install orion ```
AdaNet (🥉21 · ⭐ 3.2K) - Fast and flexible AutoML with learning guarantees. Apache-2 - [GitHub](https://github.com/tensorflow/adanet) (👨‍💻 26 · 🔀 500 · 📦 33 · 📋 110 - 57% open · ⏱️ 09.07.2020): ``` git clone https://github.com/tensorflow/adanet ``` - [PyPi](https://pypi.org/project/adanet) (📥 670 / month · 📦 2 · ⏱️ 09.07.2020): ``` pip install adanet ```
optunity (🥉21 · ⭐ 360 · 💤) - optimization routines for hyperparameter tuning. BSD-3 - [GitHub](https://github.com/claesenm/optunity) (👨‍💻 9 · 🔀 73 · 📥 62 · 📦 58 · 📋 93 - 48% open · ⏱️ 11.05.2020): ``` git clone https://github.com/claesenm/optunity ``` - [PyPi](https://pypi.org/project/optunity) (📥 10K / month · 📦 7 · ⏱️ 30.09.2015): ``` pip install optunity ```
Neuraxle (🥉21 · ⭐ 360) - A Sklearn-like Framework for Hyperparameter Tuning and AutoML in.. Apache-2 - [GitHub](https://github.com/Neuraxio/Neuraxle) (👨‍💻 7 · 🔀 39 · 📦 17 · 📋 250 - 47% open · ⏱️ 12.01.2021): ``` git clone https://github.com/Neuraxio/Neuraxle ``` - [PyPi](https://pypi.org/project/neuraxle) (📥 330 / month · ⏱️ 20.09.2020): ``` pip install neuraxle ```
mljar-supervised (🥉20 · ⭐ 740) - Automates Machine Learning Pipeline with Feature Engineering.. MIT - [GitHub](https://github.com/mljar/mljar-supervised) (👨‍💻 7 · 🔀 97 · 📦 9 · 📋 280 - 17% open · ⏱️ 21.01.2021): ``` git clone https://github.com/mljar/mljar-supervised ``` - [PyPi](https://pypi.org/project/mljar-supervised) (📥 2.9K / month · ⏱️ 14.01.2021): ``` pip install mljar-supervised ```
Test Tube (🥉20 · ⭐ 650 · 💤) - Python library to easily log experiments and parallelize.. MIT - [GitHub](https://github.com/williamFalcon/test-tube) (👨‍💻 16 · 🔀 59 · 📥 7 · 📋 44 - 52% open · ⏱️ 17.03.2020): ``` git clone https://github.com/williamFalcon/test-tube ``` - [PyPi](https://pypi.org/project/test_tube) (📥 9.2K / month · 📦 5 · ⏱️ 12.12.2018): ``` pip install test_tube ```
Auto ViML (🥉20 · ⭐ 200) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2 - [GitHub](https://github.com/AutoViML/Auto_ViML) (👨‍💻 6 · 🔀 52 · 📦 13 · 📋 16 - 18% open · ⏱️ 15.01.2021): ``` git clone https://github.com/AutoViML/Auto_ViML ``` - [PyPi](https://pypi.org/project/autoviml) (📥 510 / month · ⏱️ 15.01.2021): ``` pip install autoviml ```
lazypredict (🥉19 · ⭐ 340) - Lazy Predict help build a lot of basic models without much code.. MIT - [GitHub](https://github.com/shankarpandala/lazypredict) (👨‍💻 8 · 🔀 77 · 📦 17 · 📋 64 - 65% open · ⏱️ 21.01.2021): ``` git clone https://github.com/shankarpandala/lazypredict ``` - [PyPi](https://pypi.org/project/lazypredict) (📥 1.3K / month · ⏱️ 09.07.2020): ``` pip install lazypredict ```
Dragonfly (🥉17 · ⭐ 560) - An open source python library for scalable Bayesian optimisation. MIT - [GitHub](https://github.com/dragonfly/dragonfly) (👨‍💻 12 · 🔀 72 · 📋 38 - 55% open · ⏱️ 03.07.2020): ``` git clone https://github.com/dragonfly/dragonfly ``` - [PyPi](https://pypi.org/project/dragonfly-opt) (📥 2.7K / month · 📦 2 · ⏱️ 03.07.2020): ``` pip install dragonfly-opt ```
HyperparameterHunter (🥉16 · ⭐ 640) - Easy hyperparameter optimization and automatic result.. MIT - [GitHub](https://github.com/HunterMcGushion/hyperparameter_hunter) (👨‍💻 4 · 🔀 80 · 📥 270 · 📋 120 - 30% open · ⏱️ 20.01.2021): ``` git clone https://github.com/HunterMcGushion/hyperparameter_hunter ``` - [PyPi](https://pypi.org/project/hyperparameter-hunter) (📥 50 / month · 📦 1 · ⏱️ 06.08.2019): ``` pip install hyperparameter-hunter ```
AlphaPy (🥉16 · ⭐ 540) - Automated Machine Learning [AutoML] with Python, scikit-learn, Keras,.. Apache-2 - [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (👨‍💻 3 · 🔀 110 · 📦 2 · 📋 39 - 25% open · ⏱️ 06.09.2020): ``` git clone https://github.com/ScottfreeLLC/AlphaPy ``` - [PyPi](https://pypi.org/project/alphapy) (📥 85 / month · ⏱️ 25.08.2020): ``` pip install alphapy ```
Auto Tune Models (🥉16 · ⭐ 500 · 💤) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT - [GitHub](https://github.com/HDI-Project/ATM) (👨‍💻 16 · 🔀 120 · 📦 6 · 📋 88 - 19% open · ⏱️ 21.02.2020): ``` git clone https://github.com/HDI-Project/ATM ``` - [PyPi](https://pypi.org/project/atm) (📥 39 / month · ⏱️ 24.06.2019): ``` pip install atm ```
Parfit (🥉15 · ⭐ 200 · 💤) - A package for parallelizing the fit and flexibly scoring of.. MIT - [GitHub](https://github.com/jmcarpenter2/parfit) (👨‍💻 2 · 🔀 25 · 📦 7 · 📋 10 - 50% open · ⏱️ 04.04.2020): ``` git clone https://github.com/jmcarpenter2/parfit ``` - [PyPi](https://pypi.org/project/parfit) (📥 3.9K / month · ⏱️ 11.10.2018): ``` pip install parfit ```
ENAS (🥉14 · ⭐ 2.4K · 💤) - PyTorch implementation of Efficient Neural Architecture Search via.. Apache-2 - [GitHub](https://github.com/carpedm20/ENAS-pytorch) (👨‍💻 6 · 🔀 440 · 📋 44 - 84% open · ⏱️ 16.06.2020): ``` git clone https://github.com/carpedm20/ENAS-pytorch ```
Devol (🥉11 · ⭐ 920) - Genetic neural architecture search with Keras. MIT - [GitHub](https://github.com/joeddav/devol) (👨‍💻 18 · 🔀 110 · 📋 27 - 25% open · ⏱️ 05.07.2020): ``` git clone https://github.com/joeddav/devol ```
Show 13 hidden projects... - TPOT (🥇29 · ⭐ 7.8K · 📉) - A Python Automated Machine Learning tool that optimizes.. ❗️LGPL-3.0 - MLBox (🥈23 · ⭐ 1.2K) - MLBox is a powerful Automated Machine Learning python library. ❗️BSD-1-Clause - auto_ml (🥉21 · ⭐ 1.5K · 💀) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT - HpBandSter (🥉19 · ⭐ 440 · 💀) - a distributed Hyperband implementation on Steroids. BSD-3 - Advisor (🥉17 · ⭐ 1.3K · 💀) - Open-source implementation of Google Vizier for hyper parameters.. Apache-2 - sklearn-deap (🥉17 · ⭐ 620 · 💀) - Use evolutionary algorithms instead of gridsearch in.. MIT - Sherpa (🥉17 · ⭐ 280) - Hyperparameter optimization that enables researchers to experiment,.. ❗️GPL-3.0 - Xcessiv (🥉16 · ⭐ 1.3K · 💀) - A web-based application for quick, scalable, and automated.. Apache-2 - automl-gs (🥉15 · ⭐ 1.7K · 💀) - Provide an input CSV and a target field to predict, generate a.. MIT - Auptimizer (🥉13 · ⭐ 160) - An automatic ML model optimization tool. ❗️GPL-3.0 - Hypermax (🥉13 · ⭐ 95) - Better, faster hyper-parameter optimization. BSD-3 - featurewiz (🥉12 · ⭐ 17 · 🐣) - Use advanced feature engineering strategies and select the.. Apache-2 - Hypertunity (🥉10 · ⭐ 120 · 💤) - A toolset for black-box hyperparameter optimisation. Apache-2

## Reinforcement Learning Back to top _Libraries for building and evaluating reinforcement learning & agent-based systems._
OpenAI Gym (🥇35 · ⭐ 23K) - A toolkit for developing and comparing reinforcement learning.. MIT - [GitHub](https://github.com/openai/gym) (👨‍💻 270 · 🔀 6.6K · 📦 17K · 📋 1.3K - 18% open · ⏱️ 11.01.2021): ``` git clone https://github.com/openai/gym ``` - [PyPi](https://pypi.org/project/gym) (📥 280K / month · 📦 3.6K · ⏱️ 19.12.2020): ``` pip install gym ```
baselines (🥇28 · ⭐ 11K · 💤) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT - [GitHub](https://github.com/openai/baselines) (👨‍💻 110 · 🔀 3.8K · 📦 280 · 📋 880 - 51% open · ⏱️ 31.01.2020): ``` git clone https://github.com/openai/baselines ``` - [PyPi](https://pypi.org/project/baselines) (📥 28K / month · 📦 37 · ⏱️ 26.02.2018): ``` pip install baselines ```
TensorLayer (🥈27 · ⭐ 6.5K) - Deep Learning and Reinforcement Learning Library for.. Apache-2 - [GitHub](https://github.com/tensorlayer/tensorlayer) (👨‍💻 130 · 🔀 1.4K · 📥 1.2K · 📋 480 - 9% open · ⏱️ 06.01.2021): ``` git clone https://github.com/tensorlayer/tensorlayer ``` - [PyPi](https://pypi.org/project/tensorlayer) (📥 2.2K / month · 📦 68 · ⏱️ 19.06.2020): ``` pip install tensorlayer ```
TF-Agents (🥈27 · ⭐ 1.8K) - TF-Agents is a library for Reinforcement Learning in.. Apache-2 - [GitHub](https://github.com/tensorflow/agents) (👨‍💻 84 · 🔀 450 · 📦 360 · 📋 410 - 24% open · ⏱️ 19.01.2021): ``` git clone https://github.com/tensorflow/agents ``` - [PyPi](https://pypi.org/project/tf-agents) (📥 7.3K / month · 📦 12 · ⏱️ 05.01.2021): ``` pip install tf-agents ```
Dopamine (🥈26 · ⭐ 9.3K) - Dopamine is a research framework for fast prototyping of.. Apache-2 - [GitHub](https://github.com/google/dopamine) (👨‍💻 13 · 🔀 1.2K · 📋 140 - 51% open · ⏱️ 18.01.2021): ``` git clone https://github.com/google/dopamine ``` - [PyPi](https://pypi.org/project/dopamine-rl) (📥 52K / month · 📦 31 · ⏱️ 16.10.2020): ``` pip install dopamine-rl ```
ViZDoom (🥈25 · ⭐ 1.2K) - Doom-based AI Research Platform for Reinforcement Learning from Raw.. MIT - [GitHub](https://github.com/mwydmuch/ViZDoom) (👨‍💻 43 · 🔀 280 · 📥 10K · 📦 100 · 📋 420 - 21% open · ⏱️ 16.01.2021): ``` git clone https://github.com/mwydmuch/ViZDoom ``` - [PyPi](https://pypi.org/project/vizdoom) (📥 380 / month · 📦 12 · ⏱️ 29.10.2020): ``` pip install vizdoom ```
TensorForce (🥈24 · ⭐ 2.8K) - Tensorforce: a TensorFlow library for applied.. Apache-2 - [GitHub](https://github.com/tensorforce/tensorforce) (👨‍💻 76 · 🔀 470 · 📋 550 - 1% open · ⏱️ 19.01.2021): ``` git clone https://github.com/tensorforce/tensorforce ``` - [PyPi](https://pypi.org/project/tensorforce) (📥 680 / month · 📦 23 · ⏱️ 07.09.2019): ``` pip install tensorforce ```
Stable Baselines (🥈24 · ⭐ 2.8K) - A fork of OpenAI Baselines, implementations of reinforcement.. MIT - [GitHub](https://github.com/hill-a/stable-baselines) (👨‍💻 110 · 🔀 560 · 📋 840 - 14% open · ⏱️ 23.12.2020): ``` git clone https://github.com/hill-a/stable-baselines ``` - [PyPi](https://pypi.org/project/stable-baselines) (📥 7.4K / month · 📦 25 · ⏱️ 05.08.2020): ``` pip install stable-baselines ```
Acme (🥉23 · ⭐ 1.9K) - A library of reinforcement learning components and agents. Apache-2 - [GitHub](https://github.com/deepmind/acme) (👨‍💻 29 · 🔀 180 · 📦 18 · 📋 81 - 45% open · ⏱️ 20.01.2021): ``` git clone https://github.com/deepmind/acme ``` - [PyPi](https://pypi.org/project/dm-acme) (📥 540 / month · ⏱️ 24.07.2020): ``` pip install dm-acme ```
garage (🥉23 · ⭐ 1K) - A toolkit for reproducible reinforcement learning research. MIT - [GitHub](https://github.com/rlworkgroup/garage) (👨‍💻 73 · 🔀 190 · 📦 13 · 📋 950 - 19% open · ⏱️ 14.01.2021): ``` git clone https://github.com/rlworkgroup/garage ``` - [PyPi](https://pypi.org/project/garage) (📥 190 / month · ⏱️ 02.10.2020): ``` pip install garage ```
ChainerRL (🥉23 · ⭐ 920) - ChainerRL is a deep reinforcement learning library built on top of.. MIT - [GitHub](https://github.com/chainer/chainerrl) (👨‍💻 29 · 🔀 210 · 📦 88 · 📋 220 - 33% open · ⏱️ 09.12.2020): ``` git clone https://github.com/chainer/chainerrl ``` - [PyPi](https://pypi.org/project/chainerrl) (📥 500 / month · 📦 14 · ⏱️ 14.02.2020): ``` pip install chainerrl ```
PARL (🥉21 · ⭐ 1.8K) - A high-performance distributed training framework for Reinforcement.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/PARL) (👨‍💻 21 · 🔀 410 · 📦 65 · 📋 200 - 26% open · ⏱️ 19.01.2021): ``` git clone https://github.com/PaddlePaddle/PARL ``` - [PyPi](https://pypi.org/project/parl) (📥 280 / month · ⏱️ 08.01.2021): ``` pip install parl ```
TRFL (🥉20 · ⭐ 3.1K · 💤) - TensorFlow Reinforcement Learning. Apache-2 - [GitHub](https://github.com/deepmind/trfl) (👨‍💻 12 · 🔀 370 · 📦 36 · 📋 22 - 27% open · ⏱️ 20.04.2020): ``` git clone https://github.com/deepmind/trfl ``` - [PyPi](https://pypi.org/project/trfl) (📥 640 / month · 📦 2 · ⏱️ 20.04.2020): ``` pip install trfl ```
Coach (🥉19 · ⭐ 1.9K) - Reinforcement Learning Coach by Intel AI Lab enables easy.. Apache-2 - [GitHub](https://github.com/IntelLabs/coach) (👨‍💻 34 · 🔀 370 · 📋 260 - 30% open · ⏱️ 15.12.2020): ``` git clone https://github.com/IntelLabs/coach ``` - [PyPi](https://pypi.org/project/rl_coach) (📥 120 / month · 📦 1 · ⏱️ 10.10.2019): ``` pip install rl_coach ```
PFRL (🥉19 · ⭐ 500) - PFRL: a PyTorch-based deep reinforcement learning library. MIT - [GitHub](https://github.com/pfnet/pfrl) (👨‍💻 10 · 🔀 60 · 📦 4 · 📋 43 - 51% open · ⏱️ 06.01.2021): ``` git clone https://github.com/pfnet/pfrl ``` - [PyPi](https://pypi.org/project/pfrl) (📥 370 / month · ⏱️ 17.12.2020): ``` pip install pfrl ```
RLax (🥉17 · ⭐ 540) - A library of reinforcement learning building blocks in JAX. Apache-2 jax - [GitHub](https://github.com/deepmind/rlax) (👨‍💻 10 · 🔀 40 · 📦 10 · 📋 6 - 50% open · ⏱️ 13.01.2021): ``` git clone https://github.com/deepmind/rlax ``` - [PyPi](https://pypi.org/project/rlax) (📥 140 / month · ⏱️ 19.02.2020): ``` pip install rlax ```
ReAgent (🥉16 · ⭐ 2.8K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3 - [GitHub](https://github.com/facebookresearch/ReAgent) (👨‍💻 86 · 🔀 370 · 📋 94 - 21% open · ⏱️ 20.01.2021): ``` git clone https://github.com/facebookresearch/ReAgent ```
Show 2 hidden projects... - keras-rl (🥈26 · ⭐ 4.9K · 💀) - Deep Reinforcement Learning for Keras. MIT - DeepMind Lab (🥉17 · ⭐ 6.4K) - A customisable 3D platform for agent-based AI research. ❗️GPL-2.0

## Recommender Systems Back to top _Libraries for building and evaluating recommendation systems._
implicit (🥇28 · ⭐ 2.2K) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT - [GitHub](https://github.com/benfred/implicit) (👨‍💻 28 · 🔀 450 · 📦 350 · 📋 330 - 23% open · ⏱️ 15.11.2020): ``` git clone https://github.com/benfred/implicit ``` - [PyPi](https://pypi.org/project/implicit) (📥 92K / month · 📦 22 · ⏱️ 15.09.2020): ``` pip install implicit ``` - [Conda](https://anaconda.org/conda-forge/implicit) (📥 180K · ⏱️ 24.11.2020): ``` conda install -c conda-forge implicit ```
lightfm (🥇27 · ⭐ 3.5K) - A Python implementation of LightFM, a hybrid recommendation algorithm. Apache-2 - [GitHub](https://github.com/lyst/lightfm) (👨‍💻 42 · 🔀 560 · 📦 380 · 📋 400 - 31% open · ⏱️ 27.11.2020): ``` git clone https://github.com/lyst/lightfm ``` - [PyPi](https://pypi.org/project/lightfm) (📥 86K / month · 📦 28 · ⏱️ 27.11.2020): ``` pip install lightfm ``` - [Conda](https://anaconda.org/conda-forge/lightfm) (📥 72K · ⏱️ 07.12.2020): ``` conda install -c conda-forge lightfm ```
scikit-surprise (🥈26 · ⭐ 4.6K) - A Python scikit for building and analyzing recommender.. BSD-3 - [GitHub](https://github.com/NicolasHug/Surprise) (👨‍💻 38 · 🔀 820 · 📦 870 · 📋 320 - 10% open · ⏱️ 05.08.2020): ``` git clone https://github.com/NicolasHug/Surprise ``` - [PyPi](https://pypi.org/project/scikit-surprise) (📥 35K / month · 📦 24 · ⏱️ 19.07.2020): ``` pip install scikit-surprise ``` - [Conda](https://anaconda.org/conda-forge/scikit-surprise) (📥 150K · ⏱️ 13.10.2020): ``` conda install -c conda-forge scikit-surprise ```
TF Ranking (🥈22 · ⭐ 2K) - Learning to Rank in TensorFlow. Apache-2 - [GitHub](https://github.com/tensorflow/ranking) (👨‍💻 17 · 🔀 360 · 📋 220 - 10% open · ⏱️ 19.08.2020): ``` git clone https://github.com/tensorflow/ranking ``` - [PyPi](https://pypi.org/project/tensorflow_ranking) (📥 18K / month · 📦 1 · ⏱️ 19.08.2020): ``` pip install tensorflow_ranking ```
Cornac (🥈22 · ⭐ 300) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 - [GitHub](https://github.com/PreferredAI/cornac) (👨‍💻 11 · 🔀 55 · 📦 26 · 📋 29 - 3% open · ⏱️ 04.01.2021): ``` git clone https://github.com/PreferredAI/cornac ``` - [PyPi](https://pypi.org/project/cornac) (📥 700 / month · 📦 1 · ⏱️ 28.12.2020): ``` pip install cornac ``` - [Conda](https://anaconda.org/conda-forge/cornac) (📥 98K · ⏱️ 04.01.2021): ``` conda install -c conda-forge cornac ```
Recommenders (🥈21 · ⭐ 9K) - Best Practices on Recommendation Systems. MIT - [GitHub](https://github.com/microsoft/recommenders) (👨‍💻 88 · 🔀 1.6K · 📦 1 · 📋 540 - 20% open · ⏱️ 04.01.2021): ``` git clone https://github.com/microsoft/recommenders ```
tensorrec (🥉20 · ⭐ 1.1K · 💤) - A TensorFlow recommendation algorithm and framework in.. Apache-2 - [GitHub](https://github.com/jfkirk/tensorrec) (👨‍💻 8 · 🔀 200 · 📦 23 · 📋 120 - 26% open · ⏱️ 04.02.2020): ``` git clone https://github.com/jfkirk/tensorrec ``` - [PyPi](https://pypi.org/project/tensorrec) (📥 800 / month · 📦 1 · ⏱️ 02.04.2019): ``` pip install tensorrec ```
fastFM (🥉20 · ⭐ 890 · 💤) - fastFM: A Library for Factorization Machines. BSD-3 - [GitHub](https://github.com/ibayer/fastFM) (👨‍💻 19 · 🔀 190 · 📥 370 · 📦 73 · 📋 100 - 42% open · ⏱️ 05.03.2020): ``` git clone https://github.com/ibayer/fastFM ``` - [PyPi](https://pypi.org/project/fastfm) (📥 420 / month · 📦 4 · ⏱️ 23.11.2017): ``` pip install fastfm ```
RecBole (🥉20 · ⭐ 720) - A unified, comprehensive and efficient recommendation library. MIT - [GitHub](https://github.com/RUCAIBox/RecBole) (👨‍💻 27 · 🔀 100 · 📋 78 - 30% open · ⏱️ 18.01.2021): ``` git clone https://github.com/RUCAIBox/RecBole ``` - [PyPi](https://pypi.org/project/recbole) (📥 110 / month · ⏱️ 14.01.2021): ``` pip install recbole ``` - [Conda](https://anaconda.org/aibox/recbole) (📥 180 · ⏱️ 14.01.2021): ``` conda install -c aibox recbole ```
TF Recommenders (🥉19 · ⭐ 700) - TensorFlow Recommenders is a library for building.. Apache-2 - [GitHub](https://github.com/tensorflow/recommenders) (👨‍💻 17 · 🔀 73 · 📦 11 · 📋 82 - 41% open · ⏱️ 20.01.2021): ``` git clone https://github.com/tensorflow/recommenders ``` - [PyPi](https://pypi.org/project/tensorflow-recommenders) (📥 3.3K / month · ⏱️ 21.01.2021): ``` pip install tensorflow-recommenders ```
recmetrics (🥉19 · ⭐ 230) - A library of metrics for evaluating recommender systems. MIT - [GitHub](https://github.com/statisticianinstilettos/recmetrics) (👨‍💻 12 · 🔀 53 · 📦 16 · 📋 14 - 50% open · ⏱️ 03.12.2020): ``` git clone https://github.com/statisticianinstilettos/recmetrics ``` - [PyPi](https://pypi.org/project/recmetrics) (📥 700 / month · ⏱️ 10.02.2019): ``` pip install recmetrics ```
Spotlight (🥉18 · ⭐ 2.4K · 💤) - Deep recommender models using PyTorch. MIT - [GitHub](https://github.com/maciejkula/spotlight) (👨‍💻 11 · 🔀 370 · 📋 110 - 57% open · ⏱️ 09.02.2020): ``` git clone https://github.com/maciejkula/spotlight ``` - [Conda](https://anaconda.org/maciejkula/spotlight) (📥 5.9K · ⏱️ 27.05.2018): ``` conda install -c maciejkula spotlight ```
OpenRec (🥉16 · ⭐ 350 · 💤) - OpenRec is an open-source and modular library for neural network-.. Apache-2 - [GitHub](https://github.com/ylongqi/openrec) (👨‍💻 10 · 🔀 79 · 📦 1 · 📋 16 - 25% open · ⏱️ 19.02.2020): ``` git clone https://github.com/ylongqi/openrec ``` - [PyPi](https://pypi.org/project/openrec) (📥 27 / month · 📦 1 · ⏱️ 11.09.2019): ``` pip install openrec ```
Case Recommender (🥉16 · ⭐ 310 · 💤) - Case Recommender: A Flexible and Extensible Python.. MIT - [GitHub](https://github.com/caserec/CaseRecommender) (👨‍💻 10 · 🔀 66 · 📦 5 · 📋 22 - 27% open · ⏱️ 26.05.2020): ``` git clone https://github.com/caserec/CaseRecommender ``` - [PyPi](https://pypi.org/project/caserecommender) (📥 39 / month · ⏱️ 20.08.2019): ``` pip install caserecommender ```

## Privacy Machine Learning Back to top _Libraries for encrypted and privacy-preserving machine learning using methods like federated learning & differential privacy._
PySyft (🥇26 · ⭐ 6.8K) - A library for answering questions using data you cannot see. MIT - [GitHub](https://github.com/OpenMined/PySyft) (👨‍💻 330 · 🔀 1.5K · 📋 2.6K - 6% open · ⏱️ 20.01.2021): ``` git clone https://github.com/OpenMined/PySyft ``` - [PyPi](https://pypi.org/project/syft) (📥 1.6K / month · 📦 3 · ⏱️ 14.09.2020): ``` pip install syft ```
Opacus (🥈22 · ⭐ 720) - Training PyTorch models with differential privacy. Apache-2 - [GitHub](https://github.com/pytorch/opacus) (👨‍💻 23 · 🔀 90 · 📥 30 · 📦 11 · 📋 54 - 9% open · ⏱️ 21.01.2021): ``` git clone https://github.com/pytorch/opacus ``` - [PyPi](https://pypi.org/project/opacus) (📥 1.2K / month · ⏱️ 17.12.2020): ``` pip install opacus ```
TensorFlow Privacy (🥈21 · ⭐ 1.3K) - Library for training machine learning models with.. Apache-2 - [GitHub](https://github.com/tensorflow/privacy) (👨‍💻 35 · 🔀 260 · 📥 41 · 📋 120 - 34% open · ⏱️ 13.01.2021): ``` git clone https://github.com/tensorflow/privacy ``` - [PyPi](https://pypi.org/project/tensorflow-privacy) (📥 4K / month · 📦 1 · ⏱️ 03.09.2020): ``` pip install tensorflow-privacy ```
TFEncrypted (🥈21 · ⭐ 810) - A Framework for Encrypted Machine Learning in TensorFlow. Apache-2 - [GitHub](https://github.com/tf-encrypted/tf-encrypted) (👨‍💻 28 · 🔀 130 · 📦 46 · 📋 400 - 41% open · ⏱️ 19.08.2020): ``` git clone https://github.com/tf-encrypted/tf-encrypted ``` - [PyPi](https://pypi.org/project/tf-encrypted) (📥 310 / month · 📦 8 · ⏱️ 21.10.2019): ``` pip install tf-encrypted ```
FATE (🥉20 · ⭐ 2.7K) - An Industrial Grade Federated Learning Framework. Apache-2 - [GitHub](https://github.com/FederatedAI/FATE) (👨‍💻 50 · 🔀 800 · 📋 800 - 34% open · ⏱️ 17.01.2021): ``` git clone https://github.com/FederatedAI/FATE ```
CrypTen (🥉16 · ⭐ 690) - A framework for Privacy Preserving Machine Learning. MIT - [GitHub](https://github.com/facebookresearch/CrypTen) (👨‍💻 23 · 🔀 90 · 📦 5 · 📋 46 - 32% open · ⏱️ 20.01.2021): ``` git clone https://github.com/facebookresearch/CrypTen ``` - [PyPi](https://pypi.org/project/crypten) (📥 68 / month · ⏱️ 05.02.2020): ``` pip install crypten ```

## Workflow & Experiment Tracking Back to top _Libraries to organize, track, and visualize machine learning experiments._
Tensorboard (🥇36 · ⭐ 5.1K) - TensorFlow's Visualization Toolkit. Apache-2 - [GitHub](https://github.com/tensorflow/tensorboard) (👨‍💻 250 · 🔀 1.3K · 📦 52K · 📋 1.5K - 37% open · ⏱️ 21.01.2021): ``` git clone https://github.com/tensorflow/tensorboard ``` - [PyPi](https://pypi.org/project/tensorboard) (📥 4.7M / month · 📦 3.6K · ⏱️ 12.11.2020): ``` pip install tensorboard ``` - [Conda](https://anaconda.org/conda-forge/tensorboard) (📥 1.6M · ⏱️ 15.01.2021): ``` conda install -c conda-forge tensorboard ```
mlflow (🥇34 · ⭐ 8.2K) - Open source platform for the machine learning lifecycle. Apache-2 - [GitHub](https://github.com/mlflow/mlflow) (👨‍💻 280 · 🔀 1.9K · 📦 1.8K · 📋 1.7K - 39% open · ⏱️ 20.01.2021): ``` git clone https://github.com/mlflow/mlflow ``` - [PyPi](https://pypi.org/project/mlflow) (📥 2.3M / month · 📦 150 · ⏱️ 31.12.2020): ``` pip install mlflow ``` - [Conda](https://anaconda.org/conda-forge/mlflow) (📥 200K · ⏱️ 11.01.2021): ``` conda install -c conda-forge mlflow ```
DVC (🥇30 · ⭐ 7.1K) - Data Version Control | Git for Data & Models. Apache-2 - [GitHub](https://github.com/iterative/dvc) (👨‍💻 200 · 🔀 660 · 📥 18K · 📦 540 · 📋 2.6K - 18% open · ⏱️ 21.01.2021): ``` git clone https://github.com/iterative/dvc ``` - [PyPi](https://pypi.org/project/dvc) (📥 46K / month · 📦 46 · ⏱️ 05.01.2021): ``` pip install dvc ``` - [Conda](https://anaconda.org/conda-forge/dvc) (📥 440K · ⏱️ 05.01.2021): ``` conda install -c conda-forge dvc ```
wandb client (🥇30 · ⭐ 2.6K) - A tool for visualizing and tracking your machine learning.. MIT - [GitHub](https://github.com/wandb/client) (👨‍💻 74 · 🔀 180 · 📦 1.8K · 📋 990 - 34% open · ⏱️ 21.01.2021): ``` git clone https://github.com/wandb/client ``` - [PyPi](https://pypi.org/project/wandb) (📥 180K / month · 📦 78 · ⏱️ 16.01.2021): ``` pip install wandb ```
SageMaker SDK (🥇30 · ⭐ 1.3K · 📈) - A library for training and deploying machine learning.. Apache-2 - [GitHub](https://github.com/aws/sagemaker-python-sdk) (👨‍💻 160 · 🔀 560 · 📦 570 · 📋 720 - 28% open · ⏱️ 20.01.2021): ``` git clone https://github.com/aws/sagemaker-python-sdk ``` - [PyPi](https://pypi.org/project/sagemaker) (📥 380K / month · 📦 28 · ⏱️ 20.01.2021): ``` pip install sagemaker ```
kaggle (🥈29 · ⭐ 3.8K) - Official Kaggle API. Apache-2 - [GitHub](https://github.com/Kaggle/kaggle-api) (👨‍💻 35 · 🔀 770 · 📦 4.3K · 📋 270 - 60% open · ⏱️ 30.11.2020): ``` git clone https://github.com/Kaggle/kaggle-api ``` - [PyPi](https://pypi.org/project/kaggle) (📥 200K / month · 📦 560 · ⏱️ 30.11.2020): ``` pip install kaggle ``` - [Conda](https://anaconda.org/conda-forge/kaggle) (📥 40K · ⏱️ 21.01.2021): ``` conda install -c conda-forge kaggle ```
sacred (🥈29 · ⭐ 3.3K) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT - [GitHub](https://github.com/IDSIA/sacred) (👨‍💻 91 · 🔀 310 · 📦 780 · 📋 490 - 18% open · ⏱️ 12.01.2021): ``` git clone https://github.com/IDSIA/sacred ``` - [PyPi](https://pypi.org/project/sacred) (📥 10K / month · 📦 150 · ⏱️ 14.12.2020): ``` pip install sacred ```
snakemake (🥈29 · ⭐ 820) - This is the development home of the workflow management system.. MIT - [GitHub](https://github.com/snakemake/snakemake) (👨‍💻 200 · 🔀 180 · 📦 730 · 📋 520 - 60% open · ⏱️ 19.01.2021): ``` git clone https://github.com/snakemake/snakemake ``` - [PyPi](https://pypi.org/project/snakemake) (📥 7.8K / month · 📦 290 · ⏱️ 15.01.2021): ``` pip install snakemake ``` - [Conda](https://anaconda.org/bioconda/snakemake) (📥 270K · ⏱️ 20.01.2021): ``` conda install -c bioconda snakemake ```
PyCaret (🥈28 · ⭐ 2.9K) - An open-source, low-code machine learning library in Python. MIT - [GitHub](https://github.com/pycaret/pycaret) (👨‍💻 44 · 🔀 600 · 📥 350 · 📦 610 · 📋 710 - 22% open · ⏱️ 18.01.2021): ``` git clone https://github.com/pycaret/pycaret ``` - [PyPi](https://pypi.org/project/pycaret) (📥 22K / month · ⏱️ 22.12.2020): ``` pip install pycaret ```
AzureML SDK (🥈28 · ⭐ 2.1K) - Python notebooks with ML and deep learning examples with Azure.. MIT - [GitHub](https://github.com/Azure/MachineLearningNotebooks) (👨‍💻 52 · 🔀 1.5K · 📥 390 · 📋 920 - 7% open · ⏱️ 11.01.2021): ``` git clone https://github.com/Azure/MachineLearningNotebooks ``` - [PyPi](https://pypi.org/project/azureml-sdk) (📥 260K / month · 📦 60 · ⏱️ 11.01.2021): ``` pip install azureml-sdk ```
tensorboardX (🥈27 · ⭐ 6.8K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT - [GitHub](https://github.com/lanpa/tensorboardX) (👨‍💻 64 · 🔀 770 · 📥 290 · 📦 9.8K · 📋 410 - 17% open · ⏱️ 05.07.2020): ``` git clone https://github.com/lanpa/tensorboardX ``` - [PyPi](https://pypi.org/project/tensorboardX) (📥 280K / month · 📦 1.3K · ⏱️ 31.12.2019): ``` pip install tensorboardX ``` - [Conda](https://anaconda.org/conda-forge/tensorboardx) (📥 260K · ⏱️ 06.07.2020): ``` conda install -c conda-forge tensorboardx ```
Metaflow (🥈26 · ⭐ 4K) - Build and manage real-life data science projects with ease. Apache-2 - [GitHub](https://github.com/Netflix/metaflow) (👨‍💻 28 · 🔀 310 · 📦 100 · 📋 250 - 43% open · ⏱️ 19.01.2021): ``` git clone https://github.com/Netflix/metaflow ``` - [PyPi](https://pypi.org/project/metaflow) (📥 35K / month · 📦 1 · ⏱️ 29.10.2020): ``` pip install metaflow ``` - [Conda](https://anaconda.org/conda-forge/metaflow) (📥 10K · ⏱️ 12.11.2020): ``` conda install -c conda-forge metaflow ```
Catalyst (🥈26 · ⭐ 2.4K) - Accelerated deep learning R&D. Apache-2 - [GitHub](https://github.com/catalyst-team/catalyst) (👨‍💻 81 · 🔀 270 · 📦 270 · 📋 280 - 6% open · ⏱️ 21.01.2021): ``` git clone https://github.com/catalyst-team/catalyst ``` - [PyPi](https://pypi.org/project/catalyst) (📥 6.3K / month · 📦 38 · ⏱️ 20.12.2020): ``` pip install catalyst ```
TNT (🥈25 · ⭐ 1.3K) - Simple tools for logging and visualizing, loading and training. BSD-3 - [GitHub](https://github.com/pytorch/tnt) (👨‍💻 35 · 🔀 180 · 📦 510 · 📋 64 - 46% open · ⏱️ 05.01.2021): ``` git clone https://github.com/pytorch/tnt ``` - [PyPi](https://pypi.org/project/torchnet) (📥 8.2K / month · 📦 50 · ⏱️ 29.07.2018): ``` pip install torchnet ```
ClearML (🥈24 · ⭐ 2.1K) - ClearML - Auto-Magical Suite of tools to streamline your ML.. Apache-2 - [GitHub](https://github.com/allegroai/clearml) (👨‍💻 24 · 🔀 310 · 📥 260 · 📦 10 · 📋 250 - 21% open · ⏱️ 18.01.2021): ``` git clone https://github.com/allegroai/clearml ``` - [PyPi](https://pypi.org/project/clearml) (📥 1.6K / month · ⏱️ 18.01.2021): ``` pip install clearml ``` - [Docker Hub](https://hub.docker.com/r/allegroai/trains) (📥 30K · ⏱️ 05.10.2020): ``` docker pull allegroai/trains ```
Hub (🥈24 · ⭐ 690) - The fastest way to access and manage datasets for PyTorch and TensorFlow... MPL-2.0 - [GitHub](https://github.com/activeloopai/Hub) (👨‍💻 50 · 🔀 120 · 📦 120 · 📋 180 - 46% open · ⏱️ 21.01.2021): ``` git clone https://github.com/activeloopai/Hub ``` - [PyPi](https://pypi.org/project/hub) (📥 1.1K / month · 📦 52 · ⏱️ 15.01.2021): ``` pip install hub ``` - [Conda](https://anaconda.org/conda-forge/hub) (📥 93K · ⏱️ 22.04.2020): ``` conda install -c conda-forge hub ```
ml-metadata (🥈24 · ⭐ 260) - For recording and retrieving metadata associated with ML.. Apache-2 - [GitHub](https://github.com/google/ml-metadata) (👨‍💻 11 · 🔀 56 · 📥 1.2K · 📦 65 · 📋 54 - 27% open · ⏱️ 20.01.2021): ``` git clone https://github.com/google/ml-metadata ``` - [PyPi](https://pypi.org/project/ml-metadata) (📥 230K / month · ⏱️ 15.12.2020): ``` pip install ml-metadata ```
VisualDL (🥉23 · ⭐ 3.2K) - Deep Learning Visualization Toolkit. Apache-2 - [GitHub](https://github.com/PaddlePaddle/VisualDL) (👨‍💻 28 · 🔀 440 · 📥 67 · 📦 140 · 📋 340 - 6% open · ⏱️ 19.01.2021): ``` git clone https://github.com/PaddlePaddle/VisualDL ``` - [PyPi](https://pypi.org/project/visualdl) (📥 4.7K / month · 📦 10 · ⏱️ 29.12.2020): ``` pip install visualdl ```
TensorWatch (🥉23 · ⭐ 3K) - Debugging, monitoring and visualization for Python Machine Learning.. MIT - [GitHub](https://github.com/microsoft/tensorwatch) (👨‍💻 13 · 🔀 310 · 📦 45 · 📋 63 - 76% open · ⏱️ 15.01.2021): ``` git clone https://github.com/microsoft/tensorwatch ``` - [PyPi](https://pypi.org/project/tensorwatch) (📥 12K / month · 📦 6 · ⏱️ 04.03.2020): ``` pip install tensorwatch ```
livelossplot (🥉23 · ⭐ 1K) - Live training loss plot in Jupyter Notebook for Keras, PyTorch.. MIT - [GitHub](https://github.com/stared/livelossplot) (👨‍💻 15 · 🔀 130 · 📦 430 · 📋 72 - 6% open · ⏱️ 16.11.2020): ``` git clone https://github.com/stared/livelossplot ``` - [PyPi](https://pypi.org/project/livelossplot) (📥 11K / month · 📦 5 · ⏱️ 24.07.2020): ``` pip install livelossplot ```
knockknock (🥉22 · ⭐ 2K · 💤) - Knock Knock: Get notified when your training ends with only two.. MIT - [GitHub](https://github.com/huggingface/knockknock) (👨‍💻 18 · 🔀 160 · 📦 130 · 📋 33 - 36% open · ⏱️ 16.03.2020): ``` git clone https://github.com/huggingface/knockknock ``` - [PyPi](https://pypi.org/project/knockknock) (📥 1.2K / month · 📦 3 · ⏱️ 16.03.2020): ``` pip install knockknock ``` - [Conda](https://anaconda.org/conda-forge/knockknock) (📥 5.3K · ⏱️ 17.03.2020): ``` conda install -c conda-forge knockknock ```
Guild AI (🥉22 · ⭐ 530) - Experiment tracking, ML developer tools. Apache-2 - [GitHub](https://github.com/guildai/guildai) (👨‍💻 16 · 🔀 42 · 📦 25 · 📋 240 - 39% open · ⏱️ 19.01.2021): ``` git clone https://github.com/guildai/guildai ``` - [PyPi](https://pypi.org/project/guildai) (📥 1.8K / month · ⏱️ 14.01.2021): ``` pip install guildai ```
Studio.ml (🥉22 · ⭐ 370) - Studio: Simplify and expedite model building process. Apache-2 - [GitHub](https://github.com/studioml/studio) (👨‍💻 21 · 🔀 48 · 📦 3 · 📋 240 - 22% open · ⏱️ 20.01.2021): ``` git clone https://github.com/studioml/studio ``` - [PyPi](https://pypi.org/project/studioml) (📥 1.1K / month · ⏱️ 20.01.2021): ``` pip install studioml ```
lore (🥉21 · ⭐ 1.5K · 💤) - Lore makes machine learning approachable for Software Engineers and.. MIT - [GitHub](https://github.com/instacart/lore) (👨‍💻 22 · 🔀 120 · 📦 16 · 📋 34 - 47% open · ⏱️ 11.05.2020): ``` git clone https://github.com/instacart/lore ``` - [PyPi](https://pypi.org/project/lore) (📥 460 / month · 📦 1 · ⏱️ 11.05.2020): ``` pip install lore ```
gokart (🥉21 · ⭐ 160) - A wrapper of the data pipeline library luigi. MIT - [GitHub](https://github.com/m3dev/gokart) (👨‍💻 24 · 🔀 30 · 📦 28 · 📋 29 - 31% open · ⏱️ 20.01.2021): ``` git clone https://github.com/m3dev/gokart ``` - [PyPi](https://pypi.org/project/gokart) (📥 470 / month · 📦 2 · ⏱️ 25.02.2020): ``` pip install gokart ```
Labml (🥉20 · ⭐ 360) - Monitor PyTorch & TensorFlow model training from your mobile phone. MIT - [GitHub](https://github.com/lab-ml/labml) (👨‍💻 6 · 🔀 33 · 📦 20 · ⏱️ 21.01.2021): ``` git clone https://github.com/lab-ml/labml ``` - [PyPi](https://pypi.org/project/labml) (📥 760 / month · ⏱️ 21.01.2021): ``` pip install labml ```
hiddenlayer (🥉19 · ⭐ 1.4K · 💤) - Neural network graphs and training metrics for.. MIT - [GitHub](https://github.com/waleedka/hiddenlayer) (👨‍💻 6 · 🔀 190 · 📦 52 · 📋 75 - 57% open · ⏱️ 24.04.2020): ``` git clone https://github.com/waleedka/hiddenlayer ``` - [PyPi](https://pypi.org/project/hiddenlayer) (📥 1.1K / month · 📦 4 · ⏱️ 24.04.2020): ``` pip install hiddenlayer ```
MXBoard (🥉19 · ⭐ 330 · 💤) - Logging MXNet data for visualization in TensorBoard. Apache-2 - [GitHub](https://github.com/awslabs/mxboard) (👨‍💻 9 · 🔀 46 · 📦 93 · 📋 31 - 51% open · ⏱️ 24.01.2020): ``` git clone https://github.com/awslabs/mxboard ``` - [PyPi](https://pypi.org/project/mxboard) (📥 2.2K / month · 📦 1 · ⏱️ 22.05.2018): ``` pip install mxboard ```
quinn (🥉19 · ⭐ 200) - pyspark methods to enhance developer productivity. Apache-2 - [GitHub](https://github.com/MrPowers/quinn) (👨‍💻 6 · 🔀 26 · 📋 23 - 73% open · ⏱️ 29.07.2020): ``` git clone https://github.com/MrPowers/quinn ``` - [PyPi](https://pypi.org/project/quinn) (📥 110K / month · 📦 3 · ⏱️ 26.07.2020): ``` pip install quinn ```
aim (🥉15 · ⭐ 810) - Aim a super-easy way to record, search and compare 1000s of ML training.. Apache-2 - [GitHub](https://github.com/aimhubio/aim) (👨‍💻 8 · 🔀 46 · 📋 41 - 39% open · ⏱️ 13.01.2021): ``` git clone https://github.com/aimhubio/aim ``` - [PyPi](https://pypi.org/project/aim) (📥 860 / month · 📦 2 · ⏱️ 07.01.2021): ``` pip install aim ```
Show 6 hidden projects... - TensorBoard Logger (🥉20 · ⭐ 610 · 💀) - Log TensorBoard events without touching TensorFlow. MIT - SKLL (🥉17 · ⭐ 520) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. ❗️BSD-1-Clause - datmo (🥉16 · ⭐ 330 · 💀) - Open source production model management tool for data scientists. MIT - steppy (🥉15 · ⭐ 130 · 💀) - Lightweight, Python library for fast and reproducible experimentation. MIT - ModelChimp (🥉14 · ⭐ 120) - Experiment tracking for machine and deep learning projects. BSD-2 - traintool (🥉10 · ⭐ 9 · 🐣) - Train off-the-shelf machine learning models in one.. Apache-2

## Model Serialization & Conversion Back to top _Libraries to serialize models to files, convert between a variety of model formats, and optimize models for deployment._
onnx (🥇33 · ⭐ 9.7K) - Open standard for machine learning interoperability. Apache-2 - [GitHub](https://github.com/onnx/onnx) (👨‍💻 190 · 🔀 1.8K · 📥 10K · 📦 2.4K · 📋 1.4K - 35% open · ⏱️ 19.01.2021): ``` git clone https://github.com/onnx/onnx ``` - [PyPi](https://pypi.org/project/onnx) (📥 300K / month · 📦 300 · ⏱️ 06.11.2020): ``` pip install onnx ``` - [Conda](https://anaconda.org/conda-forge/onnx) (📥 180K · ⏱️ 13.01.2021): ``` conda install -c conda-forge onnx ```
Core ML Tools (🥇26 · ⭐ 2.1K) - Core ML tools contain supporting tools for Core ML model.. BSD-3 - [GitHub](https://github.com/apple/coremltools) (👨‍💻 110 · 🔀 320 · 📥 2.3K · 📦 450 · 📋 620 - 50% open · ⏱️ 08.01.2021): ``` git clone https://github.com/apple/coremltools ``` - [PyPi](https://pypi.org/project/coremltools) (📥 38K / month · 📦 130 · ⏱️ 10.10.2020): ``` pip install coremltools ```
TorchServe (🥈24 · ⭐ 1.5K) - Model Serving on PyTorch. Apache-2 - [GitHub](https://github.com/pytorch/serve) (👨‍💻 61 · 🔀 220 · 📥 180 · 📦 26 · 📋 530 - 24% open · ⏱️ 13.01.2021): ``` git clone https://github.com/pytorch/serve ``` - [PyPi](https://pypi.org/project/torchserve) (📥 2.1K / month · ⏱️ 17.12.2020): ``` pip install torchserve ``` - [Conda](https://anaconda.org/pytorch/torchserve) (📥 6.1K · ⏱️ 17.12.2020): ``` conda install -c pytorch torchserve ``` - [Docker Hub](https://hub.docker.com/r/pytorch/torchserve) (📥 50K · ⭐ 3 · ⏱️ 18.12.2020): ``` docker pull pytorch/torchserve ```
mmdnn (🥈22 · ⭐ 5.2K) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT - [GitHub](https://github.com/microsoft/MMdnn) (👨‍💻 85 · 🔀 920 · 📥 3.3K · 📦 49 · 📋 590 - 51% open · ⏱️ 14.08.2020): ``` git clone https://github.com/Microsoft/MMdnn ``` - [PyPi](https://pypi.org/project/mmdnn) (📥 550 / month · 📦 3 · ⏱️ 24.07.2020): ``` pip install mmdnn ```
m2cgen (🥈22 · ⭐ 1.7K) - Transform ML models into a native code (Java, C, Python, Go, JavaScript,.. MIT - [GitHub](https://github.com/BayesWitnesses/m2cgen) (👨‍💻 12 · 🔀 150 · 📦 4 · 📋 61 - 40% open · ⏱️ 07.10.2020): ``` git clone https://github.com/BayesWitnesses/m2cgen ``` - [PyPi](https://pypi.org/project/m2cgen) (📥 8.4K / month · ⏱️ 18.09.2020): ``` pip install m2cgen ```
cortex (🥉21 · ⭐ 7.2K) - Run inference at scale. Apache-2 - [GitHub](https://github.com/cortexlabs/cortex) (👨‍💻 18 · 🔀 540 · 📋 880 - 20% open · ⏱️ 21.01.2021): ``` git clone https://github.com/cortexlabs/cortex ``` - [PyPi](https://pypi.org/project/cortex) (📥 690 / month · ⏱️ 21.01.2021): ``` pip install cortex ```
Hummingbird (🥉20 · ⭐ 2.2K) - Hummingbird compiles trained ML models into tensor computation for.. MIT - [GitHub](https://github.com/microsoft/hummingbird) (👨‍💻 18 · 🔀 160 · 📥 90 · 📦 12 · 📋 180 - 26% open · ⏱️ 13.01.2021): ``` git clone https://github.com/microsoft/hummingbird ``` - [PyPi](https://pypi.org/project/hummingbird-ml) (📥 800 / month · ⏱️ 04.01.2021): ``` pip install hummingbird-ml ```
pytorch2keras (🥉18 · ⭐ 660 · 💤) - PyTorch to Keras model convertor. MIT - [GitHub](https://github.com/nerox8664/pytorch2keras) (👨‍💻 11 · 🔀 110 · 📦 17 · 📋 100 - 37% open · ⏱️ 14.05.2020): ``` git clone https://github.com/nerox8664/pytorch2keras ``` - [PyPi](https://pypi.org/project/pytorch2keras) (📥 370 / month · 📦 1 · ⏱️ 14.05.2020): ``` pip install pytorch2keras ```
tfdeploy (🥉16 · ⭐ 350) - Deploy tensorflow graphs for fast evaluation and export to.. BSD-3 - [GitHub](https://github.com/riga/tfdeploy) (👨‍💻 4 · 🔀 38 · 📋 33 - 30% open · ⏱️ 08.01.2021): ``` git clone https://github.com/riga/tfdeploy ``` - [PyPi](https://pypi.org/project/tfdeploy) (📥 43 / month · 📦 2 · ⏱️ 30.03.2017): ``` pip install tfdeploy ```
Show 2 hidden projects... - Larq Compute Engine (🥉17 · ⭐ 120 · 📈) - Highly optimized inference engine for Binarized.. Apache-2 - sklearn-porter (🥉16 · ⭐ 950 · 💀) - Transpile trained scikit-learn estimators to C, Java,.. MIT

## Model Interpretability Back to top _Libraries to visualize, explain, debug, evaluate, and interpret machine learning models._
shap (🥇33 · ⭐ 11K) - A game theoretic approach to explain the output of any machine learning model. MIT - [GitHub](https://github.com/slundberg/shap) (👨‍💻 140 · 🔀 1.6K · 📦 1.9K · 📋 1.4K - 64% open · ⏱️ 15.01.2021): ``` git clone https://github.com/slundberg/shap ``` - [PyPi](https://pypi.org/project/shap) (📥 760K / month · 📦 140 · ⏱️ 04.11.2020): ``` pip install shap ``` - [Conda](https://anaconda.org/conda-forge/shap) (📥 360K · ⏱️ 16.12.2020): ``` conda install -c conda-forge shap ```
Lime (🥇29 · ⭐ 8.3K) - Lime: Explaining the predictions of any machine learning classifier. BSD-2 - [GitHub](https://github.com/marcotcr/lime) (👨‍💻 57 · 🔀 1.3K · 📦 1K · 📋 480 - 7% open · ⏱️ 12.01.2021): ``` git clone https://github.com/marcotcr/lime ``` - [PyPi](https://pypi.org/project/lime) (📥 160K / month · 📦 130 · ⏱️ 03.04.2020): ``` pip install lime ``` - [Conda](https://anaconda.org/conda-forge/lime) (📥 62K · ⏱️ 28.06.2020): ``` conda install -c conda-forge lime ```
eli5 (🥇28 · ⭐ 2.3K · 💤) - A library for debugging/inspecting machine learning classifiers and.. MIT - [GitHub](https://github.com/TeamHG-Memex/eli5) (👨‍💻 14 · 🔀 280 · 📦 840 · 📋 240 - 53% open · ⏱️ 22.01.2020): ``` git clone https://github.com/TeamHG-Memex/eli5 ``` - [PyPi](https://pypi.org/project/eli5) (📥 220K / month · 📦 96 · ⏱️ 29.08.2019): ``` pip install eli5 ``` - [Conda](https://anaconda.org/conda-forge/eli5) (📥 86K · ⏱️ 15.06.2020): ``` conda install -c conda-forge eli5 ```
arviz (🥇28 · ⭐ 930) - Exploratory analysis of Bayesian models with Python. Apache-2 - [GitHub](https://github.com/arviz-devs/arviz) (👨‍💻 62 · 🔀 170 · 📥 98 · 📦 680 · 📋 520 - 20% open · ⏱️ 20.01.2021): ``` git clone https://github.com/arviz-devs/arviz ``` - [PyPi](https://pypi.org/project/arviz) (📥 110K / month · 📦 36 · ⏱️ 17.01.2021): ``` pip install arviz ``` - [Conda](https://anaconda.org/conda-forge/arviz) (📥 170K · ⏱️ 18.01.2021): ``` conda install -c conda-forge arviz ```
InterpretML (🥇27 · ⭐ 3.4K) - Fit interpretable models. Explain blackbox machine learning. MIT - [GitHub](https://github.com/interpretml/interpret) (👨‍💻 23 · 🔀 430 · 📦 60 · 📋 160 - 26% open · ⏱️ 20.01.2021): ``` git clone https://github.com/interpretml/interpret ``` - [PyPi](https://pypi.org/project/interpret) (📥 9.6K / month · 📦 2 · ⏱️ 20.01.2021): ``` pip install interpret ```
pyLDAvis (🥇27 · ⭐ 1.4K · 📉) - Python library for interactive topic model visualization... BSD-3 - [GitHub](https://github.com/bmabey/pyLDAvis) (👨‍💻 31 · 🔀 290 · 📦 1.7K · 📋 150 - 61% open · ⏱️ 02.12.2020): ``` git clone https://github.com/bmabey/pyLDAvis ``` - [PyPi](https://pypi.org/project/pyldavis) (📥 58K / month · 📦 99 · ⏱️ 05.06.2018): ``` pip install pyldavis ``` - [Conda](https://anaconda.org/conda-forge/pyldavis) (📥 21K · ⏱️ 22.06.2018): ``` conda install -c conda-forge pyldavis ```
Model Analysis (🥇27 · ⭐ 1K) - Model analysis tools for TensorFlow. Apache-2 - [GitHub](https://github.com/tensorflow/model-analysis) (👨‍💻 33 · 🔀 200 · 📋 54 - 40% open · ⏱️ 19.01.2021): ``` git clone https://github.com/tensorflow/model-analysis ``` - [PyPi](https://pypi.org/project/tensorflow-model-analysis) (📥 5.8M / month · 📦 10 · ⏱️ 16.12.2020): ``` pip install tensorflow-model-analysis ```
yellowbrick (🥈26 · ⭐ 3.1K) - Visual analysis and diagnostic tools to facilitate machine.. Apache-2 - [GitHub](https://github.com/DistrictDataLabs/yellowbrick) (👨‍💻 95 · 🔀 470 · 📋 600 - 14% open · ⏱️ 15.01.2021): ``` git clone https://github.com/DistrictDataLabs/yellowbrick ``` - [PyPi](https://pypi.org/project/yellowbrick) (📥 53K / month · 📦 62 · ⏱️ 09.10.2020): ``` pip install yellowbrick ```
Captum (🥈25 · ⭐ 2.1K) - Model interpretability and understanding for PyTorch. BSD-3 - [GitHub](https://github.com/pytorch/captum) (👨‍💻 66 · 🔀 200 · 📦 100 · 📋 180 - 24% open · ⏱️ 20.01.2021): ``` git clone https://github.com/pytorch/captum ``` - [PyPi](https://pypi.org/project/captum) (📥 7.4K / month · ⏱️ 13.11.2020): ``` pip install captum ```
dtreeviz (🥈25 · ⭐ 1.4K) - A python library for decision tree visualization and model interpretation. MIT - [GitHub](https://github.com/parrt/dtreeviz) (👨‍💻 13 · 🔀 180 · 📦 100 · 📋 80 - 17% open · ⏱️ 25.11.2020): ``` git clone https://github.com/parrt/dtreeviz ``` - [PyPi](https://pypi.org/project/dtreeviz) (📥 13K / month · 📦 4 · ⏱️ 25.11.2020): ``` pip install dtreeviz ```
Lucid (🥈24 · ⭐ 4K) - A collection of infrastructure and tools for research in neural.. Apache-2 - [GitHub](https://github.com/tensorflow/lucid) (👨‍💻 34 · 🔀 550 · 📦 410 · 📋 160 - 41% open · ⏱️ 24.11.2020): ``` git clone https://github.com/tensorflow/lucid ``` - [PyPi](https://pypi.org/project/lucid) (📥 490 / month · 📦 6 · ⏱️ 20.12.2018): ``` pip install lucid ```
DoWhy (🥈24 · ⭐ 2.6K) - DoWhy is a Python library for causal inference that supports explicit.. MIT - [GitHub](https://github.com/microsoft/dowhy) (👨‍💻 37 · 🔀 360 · 📥 19 · 📦 24 · 📋 95 - 14% open · ⏱️ 24.12.2020): ``` git clone https://github.com/Microsoft/dowhy ``` - [PyPi](https://pypi.org/project/dowhy) (📥 7.1K / month · ⏱️ 12.12.2020): ``` pip install dowhy ``` - [Conda](https://anaconda.org/conda-forge/dowhy) (📥 920 · ⏱️ 13.12.2020): ``` conda install -c conda-forge dowhy ```
Fairness 360 (🥈24 · ⭐ 1.2K) - A comprehensive set of fairness metrics for datasets and.. Apache-2 - [GitHub](https://github.com/Trusted-AI/AIF360) (👨‍💻 41 · 🔀 380 · 📦 62 · 📋 81 - 43% open · ⏱️ 19.01.2021): ``` git clone https://github.com/Trusted-AI/AIF360 ``` - [PyPi](https://pypi.org/project/aif360) (📥 2.2K / month · 📦 2 · ⏱️ 02.06.2020): ``` pip install aif360 ```
keras-vis (🥈23 · ⭐ 2.8K · 💤) - Neural network visualization toolkit for keras. MIT - [GitHub](https://github.com/raghakot/keras-vis) (👨‍💻 10 · 🔀 580 · 📦 660 · 📋 210 - 53% open · ⏱️ 20.04.2020): ``` git clone https://github.com/raghakot/keras-vis ``` - [PyPi](https://pypi.org/project/keras-vis) (📥 1.9K / month · 📦 28 · ⏱️ 06.07.2017): ``` pip install keras-vis ```
keract (🥈23 · ⭐ 840) - Activation Maps (Layers Outputs) and Gradients in Keras. MIT - [GitHub](https://github.com/philipperemy/keract) (👨‍💻 15 · 🔀 180 · 📦 66 · 📋 76 - 2% open · ⏱️ 09.01.2021): ``` git clone https://github.com/philipperemy/keract ``` - [PyPi](https://pypi.org/project/keract) (📥 1.4K / month · 📦 5 · ⏱️ 22.12.2020): ``` pip install keract ```
TreeInterpreter (🥈23 · ⭐ 640) - Package for interpreting scikit-learn's decision tree.. BSD-3 - [GitHub](https://github.com/andosa/treeinterpreter) (👨‍💻 10 · 🔀 130 · 📦 120 · 📋 28 - 89% open · ⏱️ 10.01.2021): ``` git clone https://github.com/andosa/treeinterpreter ``` - [PyPi](https://pypi.org/project/treeinterpreter) (📥 62K / month · 📦 18 · ⏱️ 10.01.2021): ``` pip install treeinterpreter ```
random-forest-importances (🥈23 · ⭐ 400) - Code to compute permutation and drop-column.. MIT - [GitHub](https://github.com/parrt/random-forest-importances) (👨‍💻 14 · 🔀 88 · 📦 58 · 📋 29 - 13% open · ⏱️ 08.01.2021): ``` git clone https://github.com/parrt/random-forest-importances ``` - [PyPi](https://pypi.org/project/rfpimp) (📥 12K / month · 📦 2 · ⏱️ 25.11.2020): ``` pip install rfpimp ```
Alibi (🥉22 · ⭐ 860) - Algorithms for monitoring and explaining machine learning models. Apache-2 - [GitHub](https://github.com/SeldonIO/alibi) (👨‍💻 11 · 🔀 100 · 📦 56 · 📋 140 - 47% open · ⏱️ 02.12.2020): ``` git clone https://github.com/SeldonIO/alibi ``` - [PyPi](https://pypi.org/project/alibi) (📥 2.1K / month · 📦 9 · ⏱️ 20.10.2020): ``` pip install alibi ```
Explainability 360 (🥉22 · ⭐ 750) - Interpretability and explainability of data and machine.. Apache-2 - [GitHub](https://github.com/Trusted-AI/AIX360) (👨‍💻 27 · 🔀 170 · 📦 13 · 📋 44 - 59% open · ⏱️ 04.12.2020): ``` git clone https://github.com/Trusted-AI/AIX360 ``` - [PyPi](https://pypi.org/project/aix360) (📥 480 / month · 📦 1 · ⏱️ 28.10.2020): ``` pip install aix360 ```
iNNvestigate (🥉21 · ⭐ 750) - A toolbox to iNNvestigate neural networks' predictions!. BSD-2 - [GitHub](https://github.com/albermax/innvestigate) (👨‍💻 18 · 🔀 170 · 📦 43 · 📋 200 - 35% open · ⏱️ 16.10.2020): ``` git clone https://github.com/albermax/innvestigate ``` - [PyPi](https://pypi.org/project/innvestigate) (📥 330 / month · 📦 1 · ⏱️ 14.11.2020): ``` pip install innvestigate ```
fairlearn (🥉21 · ⭐ 650) - A Python package to assess and improve fairness of machine.. MIT - [GitHub](https://github.com/fairlearn/fairlearn) (👨‍💻 29 · 🔀 160 · 📋 190 - 41% open · ⏱️ 20.01.2021): ``` git clone https://github.com/fairlearn/fairlearn ``` - [PyPi](https://pypi.org/project/fairlearn) (📥 2.9K / month · 📦 1 · ⏱️ 10.11.2020): ``` pip install fairlearn ``` - [Conda](https://anaconda.org/conda-forge/fairlearn) (📥 8.5K · ⏱️ 11.11.2020): ``` conda install -c conda-forge fairlearn ```
aequitas (🥉21 · ⭐ 340) - Bias and Fairness Audit Toolkit. MIT - [GitHub](https://github.com/dssg/aequitas) (👨‍💻 15 · 🔀 63 · 📦 64 · 📋 53 - 62% open · ⏱️ 20.12.2020): ``` git clone https://github.com/dssg/aequitas ``` - [PyPi](https://pypi.org/project/aequitas) (📥 210 / month · 📦 3 · ⏱️ 16.12.2020): ``` pip install aequitas ```
checklist (🥉20 · ⭐ 1.2K) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList. MIT - [GitHub](https://github.com/marcotcr/checklist) (👨‍💻 7 · 🔀 97 · 📦 5 · 📋 56 - 5% open · ⏱️ 16.12.2020): ``` git clone https://github.com/marcotcr/checklist ``` - [PyPi](https://pypi.org/project/checklist) (📥 260 / month · 📦 2 · ⏱️ 21.09.2020): ``` pip install checklist ```
tf-explain (🥉20 · ⭐ 750) - Interpretability Methods for tf.keras models with Tensorflow 2.x. MIT - [GitHub](https://github.com/sicara/tf-explain) (👨‍💻 12 · 🔀 69 · 📦 59 · 📋 75 - 45% open · ⏱️ 05.01.2021): ``` git clone https://github.com/sicara/tf-explain ``` - [PyPi](https://pypi.org/project/tf-explain) (📥 970 / month · 📦 1 · ⏱️ 14.02.2020): ``` pip install tf-explain ```
deeplift (🥉20 · ⭐ 500) - Public facing deeplift repo. MIT - [GitHub](https://github.com/kundajelab/deeplift) (👨‍💻 11 · 🔀 120 · 📦 43 · 📋 75 - 38% open · ⏱️ 11.11.2020): ``` git clone https://github.com/kundajelab/deeplift ``` - [PyPi](https://pypi.org/project/deeplift) (📥 460 / month · 📦 2 · ⏱️ 11.11.2020): ``` pip install deeplift ```
sklearn-evaluation (🥉20 · ⭐ 290) - Machine learning model evaluation made easy: plots,.. MIT - [GitHub](https://github.com/edublancas/sklearn-evaluation) (👨‍💻 5 · 🔀 25 · 📦 26 · 📋 35 - 22% open · ⏱️ 28.12.2020): ``` git clone https://github.com/edublancas/sklearn-evaluation ``` - [PyPi](https://pypi.org/project/sklearn-evaluation) (📥 210 / month · 📦 2 · ⏱️ 28.12.2020): ``` pip install sklearn-evaluation ```
What-If Tool (🥉19 · ⭐ 420) - Source code/webpage/demos for the What-If Tool. Apache-2 - [GitHub](https://github.com/PAIR-code/what-if-tool) (👨‍💻 18 · 🔀 90 · 📋 69 - 49% open · ⏱️ 19.01.2021): ``` git clone https://github.com/PAIR-code/what-if-tool ``` - [PyPi](https://pypi.org/project/witwidget) (📥 2.6K / month · ⏱️ 19.01.2021): ``` pip install witwidget ``` - [NPM](https://www.npmjs.com/package/wit-widget) (📥 2K / month · ⏱️ 19.01.2021): ``` npm install wit-widget ```
explainerdashboard (🥉19 · ⭐ 260) - Quickly build Explainable AI dashboards that show the inner.. MIT - [GitHub](https://github.com/oegedijk/explainerdashboard) (👨‍💻 8 · 🔀 37 · 📦 3 · 📋 58 - 15% open · ⏱️ 14.01.2021): ``` git clone https://github.com/oegedijk/explainerdashboard ``` - [PyPi](https://pypi.org/project/explainerdashboard) (📥 1.2K / month · ⏱️ 14.01.2021): ``` pip install explainerdashboard ```
fairness-indicators (🥉18 · ⭐ 170) - Tensorflow's Fairness Evaluation and Visualization.. Apache-2 - [GitHub](https://github.com/tensorflow/fairness-indicators) (👨‍💻 19 · 🔀 49 · 📋 21 - 76% open · ⏱️ 15.01.2021): ``` git clone https://github.com/tensorflow/fairness-indicators ``` - [PyPi](https://pypi.org/project/fairness-indicators) (📥 440 / month · ⏱️ 17.12.2020): ``` pip install fairness-indicators ```
DiCE (🥉17 · ⭐ 440) - Generate Diverse Counterfactual Explanations for any machine.. MIT - [GitHub](https://github.com/interpretml/DiCE) (👨‍💻 9 · 🔀 64 · 📋 30 - 40% open · ⏱️ 21.01.2021): ``` git clone https://github.com/interpretml/DiCE ``` - [PyPi](https://pypi.org/project/dice-ml) (📥 160 / month · ⏱️ 22.09.2020): ``` pip install dice-ml ```
ExplainX.ai (🥉17 · ⭐ 160) - Explainable AI framework for data scientists. Explain & debug any.. MIT - [GitHub](https://github.com/explainX/explainx) (👨‍💻 4 · 🔀 28 · 📋 20 - 35% open · ⏱️ 07.01.2021): ``` git clone https://github.com/explainX/explainx ``` - [PyPi](https://pypi.org/project/explainx) (📥 430 / month · ⏱️ 07.12.2020): ``` pip install explainx ```
LIT (🥉16 · ⭐ 2.3K · 🐣) - The Language Interpretability Tool: Interactively analyze NLP models.. Apache-2 - [GitHub](https://github.com/PAIR-code/lit) (👨‍💻 10 · 🔀 230 · 📋 54 - 50% open · ⏱️ 17.11.2020): ``` git clone https://github.com/PAIR-code/lit ``` - [PyPi](https://pypi.org/project/lit-nlp) (📥 130 / month · ⏱️ 17.11.2020): ``` pip install lit-nlp ```
tcav (🥉16 · ⭐ 430) - Code for the TCAV ML interpretability project. Apache-2 - [GitHub](https://github.com/tensorflow/tcav) (👨‍💻 16 · 🔀 97 · 📦 6 · 📋 42 - 4% open · ⏱️ 14.07.2020): ``` git clone https://github.com/tensorflow/tcav ``` - [PyPi](https://pypi.org/project/tcav) (📥 39 / month · 📦 1 · ⏱️ 10.06.2019): ``` pip install tcav ```
LOFO (🥉16 · ⭐ 290) - Leave One Feature Out Importance. MIT - [GitHub](https://github.com/aerdem4/lofo-importance) (👨‍💻 3 · 🔀 40 · 📦 3 · 📋 11 - 9% open · ⏱️ 02.07.2020): ``` git clone https://github.com/aerdem4/lofo-importance ``` - [PyPi](https://pypi.org/project/lofo-importance) (📥 190 / month · ⏱️ 02.07.2020): ``` pip install lofo-importance ```
model-card-toolkit (🥉16 · ⭐ 150 · 🐣) - a tool that leverages rich metadata and lineage.. Apache-2 - [GitHub](https://github.com/tensorflow/model-card-toolkit) (👨‍💻 7 · 🔀 22 · 📦 1 · ⏱️ 21.01.2021): ``` git clone https://github.com/tensorflow/model-card-toolkit ``` - [PyPi](https://pypi.org/project/model-card-toolkit) (📥 75 / month · ⏱️ 16.10.2020): ``` pip install model-card-toolkit ```
FlashTorch (🥉15 · ⭐ 530 · 💤) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT - [GitHub](https://github.com/MisaOgura/flashtorch) (👨‍💻 2 · 🔀 66 · 📦 6 · 📋 27 - 22% open · ⏱️ 29.05.2020): ``` git clone https://github.com/MisaOgura/flashtorch ``` - [PyPi](https://pypi.org/project/flashtorch) (📥 140 / month · ⏱️ 29.05.2020): ``` pip install flashtorch ```
Anchor (🥉14 · ⭐ 620) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 - [GitHub](https://github.com/marcotcr/anchor) (👨‍💻 8 · 🔀 87 · 📋 54 - 16% open · ⏱️ 10.09.2020): ``` git clone https://github.com/marcotcr/anchor ``` - [PyPi](https://pypi.org/project/anchor_exp) (📥 440 / month · ⏱️ 26.06.2020): ``` pip install anchor_exp ```
Show 7 hidden projects... - scikit-plot (🥈23 · ⭐ 2K · 💀) - An intuitive library to add plotting functionality to scikit-.. MIT - Skater (🥉20 · ⭐ 970 · 💤) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0 - DALEX (🥉18 · ⭐ 760) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0 - XAI (🥉16 · ⭐ 560 · 💀) - XAI - An eXplainability toolbox for machine learning. MIT - imodels (🥉16 · ⭐ 140) - Interpretable ML package for concise, transparent, and accurate predictive.. MIT - contextual-ai (🥉13 · ⭐ 65) - Contextual AI adds explainability to different stages of.. Apache-2 - Attribution Priors (🥉11 · ⭐ 71) - Tools for training explainable models using.. MIT

## Vector Similarity Search (ANN) Back to top _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarity Search._ 🔗 ANN Benchmarks ( ⭐ 2K) - Benchmarks of approximate nearest neighbor libraries in Python.
Faiss (🥇29 · ⭐ 12K) - A library for efficient similarity search and clustering of dense vectors. MIT - [GitHub](https://github.com/facebookresearch/faiss) (👨‍💻 74 · 🔀 2.1K · 📦 300 · 📋 1.4K - 7% open · ⏱️ 20.01.2021): ``` git clone https://github.com/facebookresearch/faiss ``` - [PyPi](https://pypi.org/project/pymilvus) (📥 6.8K / month · 📦 6 · ⏱️ 21.01.2021): ``` pip install pymilvus ``` - [Conda](https://anaconda.org/conda-forge/faiss) (📥 22K · ⏱️ 12.12.2020): ``` conda install -c conda-forge faiss ```
Annoy (🥇29 · ⭐ 8.1K) - Approximate Nearest Neighbors in C++/Python optimized for memory usage.. Apache-2 - [GitHub](https://github.com/spotify/annoy) (👨‍💻 68 · 🔀 860 · 📦 1.4K · 📋 290 - 9% open · ⏱️ 03.12.2020): ``` git clone https://github.com/spotify/annoy ``` - [PyPi](https://pypi.org/project/annoy) (📥 220K / month · 📦 360 · ⏱️ 18.09.2020): ``` pip install annoy ```
NMSLIB (🥈28 · ⭐ 2.3K) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2 - [GitHub](https://github.com/nmslib/nmslib) (👨‍💻 44 · 🔀 330 · 📦 310 · 📋 360 - 12% open · ⏱️ 08.01.2021): ``` git clone https://github.com/nmslib/nmslib ``` - [PyPi](https://pypi.org/project/nmslib) (📥 55K / month · 📦 52 · ⏱️ 08.01.2021): ``` pip install nmslib ``` - [Conda](https://anaconda.org/conda-forge/nmslib) (📥 10K · ⏱️ 08.01.2021): ``` conda install -c conda-forge nmslib ```
Milvus (🥈25 · ⭐ 4.9K) - An open source embedding vector similarity search engine powered by.. Apache-2 - [GitHub](https://github.com/milvus-io/milvus) (👨‍💻 130 · 🔀 770 · 📋 2.1K - 10% open · ⏱️ 19.01.2021): ``` git clone https://github.com/milvus-io/milvus ``` - [PyPi](https://pypi.org/project/pymilvus) (📥 6.8K / month · 📦 6 · ⏱️ 21.01.2021): ``` pip install pymilvus ``` - [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (📥 220K · ⭐ 9 · ⏱️ 06.01.2021): ``` docker pull milvusdb/milvus ```
hnswlib (🥈22 · ⭐ 1.3K) - Header-only C++/python library for fast approximate nearest neighbors. Apache-2 - [GitHub](https://github.com/nmslib/hnswlib) (👨‍💻 32 · 🔀 240 · 📋 180 - 43% open · ⏱️ 18.08.2020): ``` git clone https://github.com/nmslib/hnswlib ``` - [PyPi](https://pypi.org/project/hnswlib) (📥 14K / month · 📦 2 · ⏱️ 13.07.2020): ``` pip install hnswlib ```
Magnitude (🥉21 · ⭐ 1.4K) - A fast, efficient universal vector embedding utility package. MIT - [GitHub](https://github.com/plasticityai/magnitude) (👨‍💻 4 · 🔀 98 · 📦 170 · 📋 74 - 32% open · ⏱️ 17.07.2020): ``` git clone https://github.com/plasticityai/magnitude ``` - [PyPi](https://pypi.org/project/pymagnitude) (📥 4.3K / month · 📦 14 · ⏱️ 25.05.2020): ``` pip install pymagnitude ```
PyNNDescent (🥉21 · ⭐ 370) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2 - [GitHub](https://github.com/lmcinnes/pynndescent) (👨‍💻 10 · 🔀 44 · 📋 57 - 49% open · ⏱️ 18.01.2021): ``` git clone https://github.com/lmcinnes/pynndescent ``` - [PyPi](https://pypi.org/project/pynndescent) (📥 23K / month · 📦 3 · ⏱️ 19.11.2020): ``` pip install pynndescent ``` - [Conda](https://anaconda.org/conda-forge/pynndescent) (📥 21K · ⏱️ 19.11.2020): ``` conda install -c conda-forge pynndescent ```
NGT (🥉19 · ⭐ 610) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2 - [GitHub](https://github.com/yahoojapan/NGT) (👨‍💻 10 · 🔀 67 · 📋 76 - 9% open · ⏱️ 21.01.2021): ``` git clone https://github.com/yahoojapan/NGT ``` - [PyPi](https://pypi.org/project/ngt) (📥 2.8K / month · 📦 3 · ⏱️ 23.09.2020): ``` pip install ngt ```
N2 (🥉19 · ⭐ 450) - TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast.. Apache-2 - [GitHub](https://github.com/kakao/n2) (👨‍💻 17 · 🔀 51 · 📦 12 · 📋 39 - 43% open · ⏱️ 21.10.2020): ``` git clone https://github.com/kakao/n2 ``` - [PyPi](https://pypi.org/project/n2) (📥 340 / month · 📦 2 · ⏱️ 16.10.2020): ``` pip install n2 ```
Show 2 hidden projects... - NearPy (🥉20 · ⭐ 660 · 💀) - Python framework for fast (approximated) nearest neighbour search in.. MIT - PySparNN (🥉11 · ⭐ 840 · 💀) - Approximate Nearest Neighbor Search for Sparse Data in Python!. BSD-3

## Probabilistics & Statistics Back to top _Libraries providing capabilities for probabilistic programming/reasoning, bayesian inference, gaussian processes, or statistics._
PyMC3 (🥇32 · ⭐ 5.5K) - Probabilistic Programming in Python: Bayesian Modeling and.. Apache-2 - [GitHub](https://github.com/pymc-devs/pymc3) (👨‍💻 300 · 🔀 1.3K · 📥 140 · 📦 2K · 📋 2.1K - 7% open · ⏱️ 21.01.2021): ``` git clone https://github.com/pymc-devs/pymc3 ``` - [PyPi](https://pypi.org/project/pymc3) (📥 110K / month · 📦 290 · ⏱️ 21.01.2021): ``` pip install pymc3 ``` - [Conda](https://anaconda.org/conda-forge/pymc3) (📥 240K · ⏱️ 07.12.2020): ``` conda install -c conda-forge pymc3 ```
tensorflow-probability (🥇31 · ⭐ 3.2K) - Probabilistic reasoning and statistical analysis in.. Apache-2 - [GitHub](https://github.com/tensorflow/probability) (👨‍💻 400 · 🔀 840 · 📦 1 · 📋 940 - 44% open · ⏱️ 21.01.2021): ``` git clone https://github.com/tensorflow/probability ``` - [PyPi](https://pypi.org/project/tensorflow-probability) (📥 300K / month · 📦 250 · ⏱️ 29.12.2020): ``` pip install tensorflow-probability ``` - [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (📥 29K · ⏱️ 13.03.2020): ``` conda install -c conda-forge tensorflow-probability ```
hmmlearn (🥇29 · ⭐ 2.2K) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3 - [GitHub](https://github.com/hmmlearn/hmmlearn) (👨‍💻 31 · 🔀 600 · 📦 860 · 📋 340 - 18% open · ⏱️ 28.12.2020): ``` git clone https://github.com/hmmlearn/hmmlearn ``` - [PyPi](https://pypi.org/project/hmmlearn) (📥 110K / month · 📦 210 · ⏱️ 12.09.2020): ``` pip install hmmlearn ``` - [Conda](https://anaconda.org/conda-forge/hmmlearn) (📥 58K · ⏱️ 01.11.2020): ``` conda install -c conda-forge hmmlearn ```
GPyTorch (🥈28 · ⭐ 2.3K) - A highly efficient and modular implementation of Gaussian Processes.. MIT - [GitHub](https://github.com/cornellius-gp/gpytorch) (👨‍💻 66 · 🔀 320 · 📦 190 · 📋 840 - 25% open · ⏱️ 20.01.2021): ``` git clone https://github.com/cornellius-gp/gpytorch ``` - [PyPi](https://pypi.org/project/gpytorch) (📥 30K / month · 📦 8 · ⏱️ 19.01.2021): ``` pip install gpytorch ```
Pyro (🥈27 · ⭐ 6.7K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2 - [GitHub](https://github.com/pyro-ppl/pyro) (👨‍💻 100 · 🔀 780 · 📦 360 · 📋 810 - 16% open · ⏱️ 20.01.2021): ``` git clone https://github.com/pyro-ppl/pyro ``` - [PyPi](https://pypi.org/project/pyro-ppl) (📥 6.1K / month · 📦 36 · ⏱️ 17.11.2020): ``` pip install pyro-ppl ```
filterpy (🥈27 · ⭐ 1.6K) - Python Kalman filtering and optimal estimation library. Implements.. MIT - [GitHub](https://github.com/rlabbe/filterpy) (👨‍💻 33 · 🔀 400 · 📦 690 · 📋 170 - 12% open · ⏱️ 04.01.2021): ``` git clone https://github.com/rlabbe/filterpy ``` - [PyPi](https://pypi.org/project/filterpy) (📥 15K / month · 📦 210 · ⏱️ 10.10.2018): ``` pip install filterpy ``` - [Conda](https://anaconda.org/conda-forge/filterpy) (📥 56K · ⏱️ 05.05.2020): ``` conda install -c conda-forge filterpy ```
GPflow (🥈27 · ⭐ 1.4K) - Gaussian processes in TensorFlow. Apache-2 - [GitHub](https://github.com/GPflow/GPflow) (👨‍💻 68 · 🔀 390 · 📦 210 · 📋 690 - 12% open · ⏱️ 13.01.2021): ``` git clone https://github.com/GPflow/GPflow ``` - [PyPi](https://pypi.org/project/gpflow) (📥 1.9K / month · 📦 17 · ⏱️ 01.12.2020): ``` pip install gpflow ``` - [Conda](https://anaconda.org/conda-forge/gpflow) (📥 8K · ⏱️ 06.11.2018): ``` conda install -c conda-forge gpflow ```
pomegranate (🥉26 · ⭐ 2.6K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT - [GitHub](https://github.com/jmschrei/pomegranate) (👨‍💻 61 · 🔀 460 · 📦 380 · 📋 570 - 5% open · ⏱️ 09.01.2021): ``` git clone https://github.com/jmschrei/pomegranate ``` - [PyPi](https://pypi.org/project/pomegranate) (📥 20K / month · 📦 56 · ⏱️ 09.01.2021): ``` pip install pomegranate ``` - [Conda](https://anaconda.org/conda-forge/pomegranate) (📥 42K · ⏱️ 01.11.2020): ``` conda install -c conda-forge pomegranate ```
pgmpy (🥉25 · ⭐ 1.7K) - Python Library for learning (Structure and Parameter) and inference.. MIT - [GitHub](https://github.com/pgmpy/pgmpy) (👨‍💻 88 · 🔀 560 · 📥 50 · 📦 180 · 📋 720 - 31% open · ⏱️ 10.01.2021): ``` git clone https://github.com/pgmpy/pgmpy ``` - [PyPi](https://pypi.org/project/pgmpy) (📥 22K / month · 📦 12 · ⏱️ 30.12.2020): ``` pip install pgmpy ```
SALib (🥉24 · ⭐ 430) - Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris,.. MIT - [GitHub](https://github.com/SALib/SALib) (👨‍💻 24 · 🔀 140 · 📋 230 - 19% open · ⏱️ 20.01.2021): ``` git clone https://github.com/SALib/SALib ``` - [PyPi](https://pypi.org/project/salib) (📥 12K / month · 📦 44 · ⏱️ 19.11.2020): ``` pip install salib ``` - [Conda](https://anaconda.org/conda-forge/salib) (📥 57K · ⏱️ 24.10.2020): ``` conda install -c conda-forge salib ```
bambi (🥉20 · ⭐ 540) - BAyesian Model-Building Interface (Bambi) in Python. MIT - [GitHub](https://github.com/bambinos/bambi) (👨‍💻 15 · 🔀 50 · 📦 8 · 📋 150 - 16% open · ⏱️ 15.01.2021): ``` git clone https://github.com/bambinos/bambi ``` - [PyPi](https://pypi.org/project/bambi) (📥 190 / month · 📦 3 · ⏱️ 17.12.2020): ``` pip install bambi ```
scikit-posthocs (🥉20 · ⭐ 170) - Pairwise Multiple Comparisons (Post Hoc) Tests in Python. MIT - [GitHub](https://github.com/maximtrp/scikit-posthocs) (👨‍💻 7 · 🔀 18 · 📥 16 · 📦 100 · 📋 35 - 8% open · ⏱️ 19.10.2020): ``` git clone https://github.com/maximtrp/scikit-posthocs ``` - [PyPi](https://pypi.org/project/scikit-posthocs) (📥 6.9K / month · 📦 3 · ⏱️ 12.10.2020): ``` pip install scikit-posthocs ```
pyhsmm (🥉18 · ⭐ 480) - Bayesian inference in HSMMs and HMMs. MIT - [GitHub](https://github.com/mattjj/pyhsmm) (👨‍💻 13 · 🔀 150 · 📦 17 · 📋 94 - 36% open · ⏱️ 24.08.2020): ``` git clone https://github.com/mattjj/pyhsmm ``` - [PyPi](https://pypi.org/project/pyhsmm) (📥 47 / month · 📦 4 · ⏱️ 10.05.2017): ``` pip install pyhsmm ```
Funsor (🥉18 · ⭐ 160) - Functional tensors for probabilistic programming. Apache-2 - [GitHub](https://github.com/pyro-ppl/funsor) (👨‍💻 9 · 🔀 15 · 📦 7 · 📋 110 - 49% open · ⏱️ 21.01.2021): ``` git clone https://github.com/pyro-ppl/funsor ``` - [PyPi](https://pypi.org/project/funsor) (📥 200 / month · ⏱️ 15.10.2020): ``` pip install funsor ```
Baal (🥉17 · ⭐ 310) - Using approximate bayesian posteriors in deep nets for active learning. Apache-2 - [GitHub](https://github.com/ElementAI/baal) (👨‍💻 8 · 🔀 24 · 📦 6 · 📋 34 - 35% open · ⏱️ 11.12.2020): ``` git clone https://github.com/ElementAI/baal ``` - [PyPi](https://pypi.org/project/baal) (📥 110 / month · ⏱️ 03.11.2020): ``` pip install baal ```
Orbit (🥉17 · ⭐ 300) - Bayesian forecasting with object-oriented design and probabilistic.. Apache-2 - [GitHub](https://github.com/uber/orbit) (👨‍💻 7 · 🔀 14 · 📦 3 · 📋 160 - 13% open · ⏱️ 20.01.2021): ``` git clone https://github.com/uber/orbit ``` - [PyPi](https://pypi.org/project/orbit-ml) (📥 86 / month · ⏱️ 15.11.2020): ``` pip install orbit-ml ```
Show 5 hidden projects... - PyStan (🥈27 · ⭐ 910) - PyStan, the Python interface to Stan. ❗️GPL-3.0 - patsy (🥈27 · ⭐ 730 · 💀) - Describing statistical models in Python using symbolic formulas. BSD-2 - Edward (🥉24 · ⭐ 4.6K · 💀) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 - pingouin (🥉22 · ⭐ 620) - Statistical package in Python based on Pandas. ❗️GPL-3.0 - ZhuSuan (🥉14 · ⭐ 2K · 💀) - A probabilistic programming library for Bayesian deep learning,.. MIT

## Adversarial Robustness Back to top _Libraries for testing the robustness of machine learning models against attacks with adversarial/malicious examples._
CleverHans (🥇25 · ⭐ 4.9K) - An adversarial example library for constructing attacks,.. MIT - [GitHub](https://github.com/cleverhans-lab/cleverhans) (👨‍💻 110 · 🔀 1.2K · 📦 180 · 📋 490 - 15% open · ⏱️ 20.01.2021): ``` git clone https://github.com/cleverhans-lab/cleverhans ``` - [PyPi](https://pypi.org/project/cleverhans) (📥 510 / month · 📦 8 · ⏱️ 27.11.2018): ``` pip install cleverhans ```
Foolbox (🥇25 · ⭐ 1.8K) - A Python toolbox to create adversarial examples that fool neural networks.. MIT - [GitHub](https://github.com/bethgelab/foolbox) (👨‍💻 30 · 🔀 310 · 📦 160 · 📋 300 - 13% open · ⏱️ 20.12.2020): ``` git clone https://github.com/bethgelab/foolbox ``` - [PyPi](https://pypi.org/project/foolbox) (📥 920 / month · 📦 18 · ⏱️ 26.09.2020): ``` pip install foolbox ```
ART (🥈23 · ⭐ 2K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT - [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (👨‍💻 59 · 🔀 560 · 📦 99 · 📋 400 - 18% open · ⏱️ 11.01.2021): ``` git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox ``` - [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (📥 1.8K / month · ⏱️ 09.01.2021): ``` pip install adversarial-robustness-toolbox ```
TextAttack (🥈23 · ⭐ 1.2K) - TextAttack is a Python framework for adversarial attacks, data.. MIT - [GitHub](https://github.com/QData/TextAttack) (👨‍💻 31 · 🔀 130 · 📦 15 · 📋 110 - 22% open · ⏱️ 15.01.2021): ``` git clone https://github.com/QData/TextAttack ``` - [PyPi](https://pypi.org/project/textattack) (📥 750 / month · ⏱️ 27.12.2020): ``` pip install textattack ```
robustness (🥉18 · ⭐ 460) - A library for experimenting with, training and evaluating neural.. MIT - [GitHub](https://github.com/MadryLab/robustness) (👨‍💻 11 · 🔀 80 · 📦 32 · 📋 54 - 9% open · ⏱️ 01.12.2020): ``` git clone https://github.com/MadryLab/robustness ``` - [PyPi](https://pypi.org/project/robustness) (📥 250 / month · 📦 1 · ⏱️ 05.08.2020): ``` pip install robustness ```
AdvBox (🥉16 · ⭐ 1K) - Advbox is a toolbox to generate adversarial examples that fool neural.. Apache-2 - [GitHub](https://github.com/advboxes/AdvBox) (👨‍💻 19 · 🔀 220 · 📋 32 - 18% open · ⏱️ 26.08.2020): ``` git clone https://github.com/advboxes/AdvBox ``` - [PyPi](https://pypi.org/project/advbox) (📥 20 / month · ⏱️ 05.12.2018): ``` pip install advbox ```
Show 2 hidden projects... - advertorch (🥉17 · ⭐ 790 · 💤) - A Toolbox for Adversarial Robustness Research. ❗️GPL-3.0 - Adversary (🥉13 · ⭐ 340 · 💀) - Tool to generate adversarial text examples and test machine.. MIT

## GPU Utilities Back to top _Libraries that require and make use of CUDA/GPU system capabilities to optimize data handling and machine learning tasks._
CuPy (🥇30 · ⭐ 4.8K) - A NumPy-compatible array library accelerated by CUDA. MIT - [GitHub](https://github.com/cupy/cupy) (👨‍💻 250 · 🔀 430 · 📥 5.8K · 📦 640 · 📋 1.2K - 29% open · ⏱️ 21.01.2021): ``` git clone https://github.com/cupy/cupy ``` - [PyPi](https://pypi.org/project/cupy) (📥 6.8K / month · 📦 190 · ⏱️ 25.12.2020): ``` pip install cupy ``` - [Conda](https://anaconda.org/conda-forge/cupy) (📥 340K · ⏱️ 21.01.2021): ``` conda install -c conda-forge cupy ``` - [Docker Hub](https://hub.docker.com/r/cupy/cupy) (📥 48K · ⭐ 6 · ⏱️ 21.01.2021): ``` docker pull cupy/cupy ```
PyCUDA (🥇27 · ⭐ 1.1K) - CUDA integration for Python, plus shiny features. MIT - [GitHub](https://github.com/inducer/pycuda) (👨‍💻 68 · 🔀 210 · 📦 710 · 📋 160 - 24% open · ⏱️ 04.01.2021): ``` git clone https://github.com/inducer/pycuda ``` - [PyPi](https://pypi.org/project/pycuda) (📥 12K / month · 📦 290 · ⏱️ 07.10.2020): ``` pip install pycuda ```
gpustat (🥈26 · ⭐ 2.2K) - A simple command-line utility for querying and monitoring GPU status. MIT - [GitHub](https://github.com/wookayin/gpustat) (👨‍💻 10 · 🔀 180 · 📦 580 · 📋 67 - 29% open · ⏱️ 13.01.2021): ``` git clone https://github.com/wookayin/gpustat ``` - [PyPi](https://pypi.org/project/gpustat) (📥 130K / month · 📦 58 · ⏱️ 02.01.2021): ``` pip install gpustat ``` - [Conda](https://anaconda.org/conda-forge/gpustat) (📥 10K · ⏱️ 24.11.2020): ``` conda install -c conda-forge gpustat ```
Apex (🥈23 · ⭐ 5K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3 - [GitHub](https://github.com/NVIDIA/apex) (👨‍💻 77 · 🔀 660 · 📦 430 · 📋 780 - 54% open · ⏱️ 20.01.2021): ``` git clone https://github.com/NVIDIA/apex ``` - [Conda](https://anaconda.org/conda-forge/nvidia-apex) (📥 29K · ⏱️ 23.11.2020): ``` conda install -c conda-forge nvidia-apex ```
ArrayFire (🥈22 · ⭐ 3.3K) - ArrayFire: a general purpose GPU library. BSD-3 - [GitHub](https://github.com/arrayfire/arrayfire) (👨‍💻 80 · 🔀 450 · 📥 610 · 📋 1.5K - 17% open · ⏱️ 11.01.2021): ``` git clone https://github.com/arrayfire/arrayfire ``` - [PyPi](https://pypi.org/project/arrayfire) (📥 570 / month · 📦 2 · ⏱️ 18.10.2018): ``` pip install arrayfire ```
py3nvml (🥈22 · ⭐ 160 · 💤) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside.. BSD-3 - [GitHub](https://github.com/fbcotter/py3nvml) (👨‍💻 6 · 🔀 24 · 📦 220 · 📋 11 - 18% open · ⏱️ 23.04.2020): ``` git clone https://github.com/fbcotter/py3nvml ``` - [PyPi](https://pypi.org/project/py3nvml) (📥 88K / month · 📦 20 · ⏱️ 06.04.2020): ``` pip install py3nvml ``` - [Conda](https://anaconda.org/conda-forge/py3nvml) (📥 11K · ⏱️ 10.10.2020): ``` conda install -c conda-forge py3nvml ```
cuDF (🥉21 · ⭐ 3.6K) - cuDF - GPU DataFrame Library. Apache-2 - [GitHub](https://github.com/rapidsai/cudf) (👨‍💻 200 · 🔀 470 · 📋 3.3K - 17% open · ⏱️ 21.01.2021): ``` git clone https://github.com/rapidsai/cudf ``` - [PyPi](https://pypi.org/project/cudf) (📥 600 / month · 📦 4 · ⏱️ 01.06.2020): ``` pip install cudf ```
scikit-cuda (🥉21 · ⭐ 790) - Python interface to GPU-powered libraries. BSD-3 - [GitHub](https://github.com/lebedov/scikit-cuda) (👨‍💻 44 · 🔀 160 · 📦 110 · 📋 200 - 18% open · ⏱️ 13.07.2020): ``` git clone https://github.com/lebedov/scikit-cuda ``` - [PyPi](https://pypi.org/project/scikit-cuda) (📥 510 / month · 📦 31 · ⏱️ 27.05.2019): ``` pip install scikit-cuda ```
DALI (🥉20 · ⭐ 3K) - A library containing both highly optimized building blocks and an.. Apache-2 - [GitHub](https://github.com/NVIDIA/DALI) (👨‍💻 54 · 🔀 370 · 📋 780 - 23% open · ⏱️ 21.01.2021): ``` git clone https://github.com/NVIDIA/DALI ```
cuML (🥉19 · ⭐ 1.9K) - cuML - RAPIDS Machine Learning Library. Apache-2 - [GitHub](https://github.com/rapidsai/cuml) (👨‍💻 120 · 🔀 300 · 📋 1.6K - 40% open · ⏱️ 20.01.2021): ``` git clone https://github.com/rapidsai/cuml ``` - [PyPi](https://pypi.org/project/cuml) (📥 280 / month · ⏱️ 11.04.2019): ``` pip install cuml ```
BlazingSQL (🥉17 · ⭐ 1.4K) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. Apache-2 - [GitHub](https://github.com/BlazingDB/blazingsql) (👨‍💻 39 · 🔀 130 · 📋 570 - 43% open · ⏱️ 20.01.2021): ``` git clone https://github.com/BlazingDB/blazingsql ``` - [Conda](https://anaconda.org/blazingsql/blazingsql-protocol) (📥 910 · ⏱️ 11.11.2019): ``` conda install -c blazingsql blazingsql-protocol ```
cuGraph (🥉16 · ⭐ 630) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 - [GitHub](https://github.com/rapidsai/cugraph) (👨‍💻 55 · 🔀 140 · 📋 560 - 16% open · ⏱️ 20.01.2021): ``` git clone https://github.com/rapidsai/cugraph ``` - [PyPi](https://pypi.org/project/cugraph) (📥 32 / month · ⏱️ 04.04.2019): ``` pip install cugraph ```
SpeedTorch (🥉16 · ⭐ 590 · 💤) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT - [GitHub](https://github.com/Santosh-Gupta/SpeedTorch) (👨‍💻 3 · 🔀 36 · 📦 3 · 📋 5 - 60% open · ⏱️ 21.02.2020): ``` git clone https://github.com/Santosh-Gupta/SpeedTorch ``` - [PyPi](https://pypi.org/project/SpeedTorch) (📥 65 / month · 📦 2 · ⏱️ 06.01.2020): ``` pip install SpeedTorch ```
Vulkan Kompute (🥉16 · ⭐ 290 · 🐣) - General purpose GPU compute framework for cross vendor.. Apache-2 - [GitHub](https://github.com/EthicalML/vulkan-kompute) (👨‍💻 9 · 🔀 17 · 📥 29 · 📦 1 · 📋 86 - 48% open · ⏱️ 18.01.2021): ``` git clone https://github.com/EthicalML/vulkan-kompute ``` - [PyPi](https://pypi.org/project/kp) (📥 100 / month · ⏱️ 11.11.2020): ``` pip install kp ```
cuSignal (🥉15 · ⭐ 440) - GPU accelerated signal processing. Apache-2 - [GitHub](https://github.com/rapidsai/cusignal) (👨‍💻 28 · 🔀 57 · 📋 98 - 17% open · ⏱️ 19.01.2021): ``` git clone https://github.com/rapidsai/cusignal ```
Show 3 hidden projects... - GPUtil (🥈22 · ⭐ 660 · 💀) - A Python module for getting the GPU status from NVIDA GPUs using.. MIT - nvidia-ml-py3 (🥉17 · ⭐ 61 · 💀) - Python 3 Bindings for the NVIDIA Management Library. BSD-3 - ipyexperiments (🥉16 · ⭐ 120) - jupyter/ipython experiment containers for GPU and.. Apache-2

## Tensorflow Utilities Back to top _Libraries that extend TensorFlow with additional capabilities._
tensor2tensor (🥇32 · ⭐ 11K) - Library of deep learning models and datasets designed to.. Apache-2 - [GitHub](https://github.com/tensorflow/tensor2tensor) (👨‍💻 230 · 🔀 2.7K · 📦 890 · 📋 1.2K - 45% open · ⏱️ 16.11.2020): ``` git clone https://github.com/tensorflow/tensor2tensor ``` - [PyPi](https://pypi.org/project/tensor2tensor) (📥 75K / month · 📦 82 · ⏱️ 17.06.2020): ``` pip install tensor2tensor ```
tensorflow-hub (🥇32 · ⭐ 2.7K) - A library for transfer learning by reusing parts of.. Apache-2 - [GitHub](https://github.com/tensorflow/hub) (👨‍💻 67 · 🔀 1.4K · 📦 5.1K · 📋 540 - 8% open · ⏱️ 19.01.2021): ``` git clone https://github.com/tensorflow/hub ``` - [PyPi](https://pypi.org/project/tensorflow-hub) (📥 730K / month · 📦 310 · ⏱️ 06.01.2021): ``` pip install tensorflow-hub ``` - [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (📥 49K · ⏱️ 24.08.2020): ``` conda install -c conda-forge tensorflow-hub ```
TF Addons (🥈30 · ⭐ 1.2K) - Useful extra functionality for TensorFlow 2.x maintained by.. Apache-2 - [GitHub](https://github.com/tensorflow/addons) (👨‍💻 140 · 🔀 420 · 📦 2K · 📋 780 - 21% open · ⏱️ 21.01.2021): ``` git clone https://github.com/tensorflow/addons ``` - [PyPi](https://pypi.org/project/tensorflow-addons) (📥 210K / month · 📦 18 · ⏱️ 23.12.2020): ``` pip install tensorflow-addons ```
TensorFlow Transform (🥈29 · ⭐ 850) - Input pipeline framework. Apache-2 - [GitHub](https://github.com/tensorflow/transform) (👨‍💻 27 · 🔀 160 · 📦 400 · 📋 150 - 22% open · ⏱️ 21.01.2021): ``` git clone https://github.com/tensorflow/transform ``` - [PyPi](https://pypi.org/project/tensorflow-transform) (📥 6.5M / month · 📦 84 · ⏱️ 16.12.2020): ``` pip install tensorflow-transform ```
efficientnet (🥈26 · ⭐ 1.7K) - Implementation of EfficientNet model. Keras and.. Apache-2 - [GitHub](https://github.com/qubvel/efficientnet) (👨‍💻 8 · 🔀 380 · 📥 140K · 📦 490 · 📋 100 - 47% open · ⏱️ 15.09.2020): ``` git clone https://github.com/qubvel/efficientnet ``` - [PyPi](https://pypi.org/project/efficientnet) (📥 72K / month · 📦 2 · ⏱️ 15.09.2020): ``` pip install efficientnet ```
TF Model Optimization (🥈26 · ⭐ 950) - A toolkit to optimize ML models for deployment for.. Apache-2 - [GitHub](https://github.com/tensorflow/model-optimization) (👨‍💻 43 · 🔀 210 · 📦 540 · 📋 160 - 44% open · ⏱️ 21.01.2021): ``` git clone https://github.com/tensorflow/model-optimization ``` - [PyPi](https://pypi.org/project/tensorflow-model-optimization) (📥 52K / month · 📦 3 · ⏱️ 14.09.2020): ``` pip install tensorflow-model-optimization ```
TensorFlow I/O (🥉25 · ⭐ 410) - Dataset, streaming, and file system extensions.. Apache-2 - [GitHub](https://github.com/tensorflow/io) (👨‍💻 72 · 🔀 140 · 📦 94 · 📋 380 - 28% open · ⏱️ 20.01.2021): ``` git clone https://github.com/tensorflow/io ``` - [PyPi](https://pypi.org/project/tensorflow-io) (📥 47K / month · ⏱️ 15.12.2020): ``` pip install tensorflow-io ```
TensorFlow Cloud (🥉23 · ⭐ 220) - The TensorFlow Cloud repository provides APIs that.. Apache-2 - [GitHub](https://github.com/tensorflow/cloud) (👨‍💻 16 · 🔀 43 · 📦 17 · 📋 71 - 64% open · ⏱️ 15.01.2021): ``` git clone https://github.com/tensorflow/cloud ``` - [PyPi](https://pypi.org/project/tensorflow-cloud) (📥 92K / month · ⏱️ 06.01.2021): ``` pip install tensorflow-cloud ```
Neural Structured Learning (🥉22 · ⭐ 770) - Training neural models with structured signals. Apache-2 - [GitHub](https://github.com/tensorflow/neural-structured-learning) (👨‍💻 26 · 🔀 140 · 📦 23 · 📋 43 - 11% open · ⏱️ 15.01.2021): ``` git clone https://github.com/tensorflow/neural-structured-learning ``` - [PyPi](https://pypi.org/project/neural-structured-learning) (📥 2.1K / month · ⏱️ 18.08.2020): ``` pip install neural-structured-learning ```
TensorNets (🥉20 · ⭐ 970) - High level network definitions with pre-trained weights in.. MIT - [GitHub](https://github.com/taehoonlee/tensornets) (👨‍💻 6 · 🔀 180 · 📦 30 · 📋 56 - 25% open · ⏱️ 02.01.2021): ``` git clone https://github.com/taehoonlee/tensornets ``` - [PyPi](https://pypi.org/project/tensornets) (📥 270 / month · 📦 2 · ⏱️ 31.03.2020): ``` pip install tensornets ```
tffm (🥉19 · ⭐ 760 · 💤) - TensorFlow implementation of an arbitrary order Factorization Machine. MIT - [GitHub](https://github.com/geffy/tffm) (👨‍💻 10 · 🔀 170 · 📦 9 · 📋 37 - 45% open · ⏱️ 22.05.2020): ``` git clone https://github.com/geffy/tffm ``` - [PyPi](https://pypi.org/project/tffm) (📥 1.2K / month · 📦 1 · ⏱️ 27.01.2018): ``` pip install tffm ```
TF Compression (🥉17 · ⭐ 420) - Data compression in TensorFlow. Apache-2 - [GitHub](https://github.com/tensorflow/compression) (👨‍💻 9 · 🔀 150 · 📋 55 - 1% open · ⏱️ 19.01.2021): ``` git clone https://github.com/tensorflow/compression ``` - [PyPi](https://pypi.org/project/tensorflow-compression) (📥 380 / month · 📦 1 · ⏱️ 06.01.2021): ``` pip install tensorflow-compression ```
Saliency (🥉16 · ⭐ 620) - TensorFlow implementation for SmoothGrad, Grad-CAM, Guided.. Apache-2 - [GitHub](https://github.com/PAIR-code/saliency) (👨‍💻 12 · 🔀 130 · 📦 13 · 📋 21 - 52% open · ⏱️ 01.10.2020): ``` git clone https://github.com/PAIR-code/saliency ``` - [PyPi](https://pypi.org/project/saliency) (📥 140 / month · ⏱️ 26.09.2019): ``` pip install saliency ```

## Sklearn Utilities Back to top _Libraries that extend scikit-learn with additional capabilities._
imbalanced-learn (🥇30 · ⭐ 5K) - A Python Package to Tackle the Curse of Imbalanced.. MIT - [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (👨‍💻 51 · 🔀 1.1K · 📦 3.8K · 📋 450 - 10% open · ⏱️ 03.11.2020): ``` git clone https://github.com/scikit-learn-contrib/imbalanced-learn ``` - [PyPi](https://pypi.org/project/imbalanced-learn) (📥 630K / month · 📦 280 · ⏱️ 09.06.2020): ``` pip install imbalanced-learn ``` - [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (📥 110K · ⏱️ 14.06.2020): ``` conda install -c conda-forge imbalanced-learn ```
MLxtend (🥇30 · ⭐ 3.3K) - A library of extension and helper modules for Python's data.. BSD-3 - [GitHub](https://github.com/rasbt/mlxtend) (👨‍💻 79 · 🔀 690 · 📦 2.4K · 📋 360 - 27% open · ⏱️ 09.01.2021): ``` git clone https://github.com/rasbt/mlxtend ``` - [PyPi](https://pypi.org/project/mlxtend) (📥 170K / month · 📦 190 · ⏱️ 26.11.2020): ``` pip install mlxtend ``` - [Conda](https://anaconda.org/conda-forge/mlxtend) (📥 150K · ⏱️ 26.11.2020): ``` conda install -c conda-forge mlxtend ```
category_encoders (🥈25 · ⭐ 1.6K) - A library of sklearn compatible categorical variable.. BSD-3 - [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (👨‍💻 34 · 🔀 290 · 📋 200 - 32% open · ⏱️ 31.07.2020): ``` git clone https://github.com/scikit-learn-contrib/category_encoders ``` - [PyPi](https://pypi.org/project/category_encoders) (📥 180K / month · 📦 23 · ⏱️ 14.10.2018): ``` pip install category_encoders ``` - [Conda](https://anaconda.org/conda-forge/category_encoders) (📥 92K · ⏱️ 29.04.2020): ``` conda install -c conda-forge category_encoders ```
combo (🥈24 · ⭐ 470) - A Python Toolbox for Machine Learning Model Combination. BSD-2 xgboost - [GitHub](https://github.com/yzhao062/combo) (👨‍💻 1 · 🔀 81 · 📦 260 · 📋 10 - 70% open · ⏱️ 23.12.2020): ``` git clone https://github.com/yzhao062/combo ``` - [PyPi](https://pypi.org/project/combo) (📥 73K / month · ⏱️ 23.12.2020): ``` pip install combo ```
sklearn-contrib-lightning (🥈23 · ⭐ 1.4K) - Large-scale linear classification, regression and.. BSD-3 - [GitHub](https://github.com/scikit-learn-contrib/lightning) (👨‍💻 16 · 🔀 190 · 📦 72 · 📋 85 - 57% open · ⏱️ 04.01.2021): ``` git clone https://github.com/scikit-learn-contrib/lightning ``` - [PyPi](https://pypi.org/project/sklearn-contrib-lightning) (📥 340 / month · 📦 5 · ⏱️ 16.12.2020): ``` pip install sklearn-contrib-lightning ``` - [Conda](https://anaconda.org/conda-forge/sklearn-contrib-lightning) (📥 130K · ⏱️ 20.12.2020): ``` conda install -c conda-forge sklearn-contrib-lightning ```
scikit-opt (🥈22 · ⭐ 1.8K) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT - [GitHub](https://github.com/guofei9987/scikit-opt) (👨‍💻 8 · 🔀 440 · 📦 25 · 📋 83 - 25% open · ⏱️ 07.01.2021): ``` git clone https://github.com/guofei9987/scikit-opt ``` - [PyPi](https://pypi.org/project/scikit-opt) (📥 880 / month · 📦 3 · ⏱️ 20.11.2020): ``` pip install scikit-opt ```
fancyimpute (🥈22 · ⭐ 910) - Multivariate imputation and matrix completion algorithms.. Apache-2 - [GitHub](https://github.com/iskandr/fancyimpute) (👨‍💻 11 · 🔀 140 · 📦 640 · 📋 110 - 3% open · ⏱️ 27.08.2020): ``` git clone https://github.com/iskandr/fancyimpute ``` - [PyPi](https://pypi.org/project/fancyimpute) (📥 4.4K / month · 📦 21 · ⏱️ 16.07.2020): ``` pip install fancyimpute ```
scikit-lego (🥈22 · ⭐ 390) - Extra blocks for scikit-learn pipelines. MIT - [GitHub](https://github.com/koaning/scikit-lego) (👨‍💻 38 · 🔀 64 · 📦 15 · 📋 200 - 9% open · ⏱️ 14.01.2021): ``` git clone https://github.com/koaning/scikit-lego ``` - [PyPi](https://pypi.org/project/scikit-lego) (📥 900 / month · ⏱️ 04.01.2021): ``` pip install scikit-lego ``` - [Conda](https://anaconda.org/conda-forge/scikit-lego) (📥 7.6K · ⏱️ 02.11.2020): ``` conda install -c conda-forge scikit-lego ```
iterative-stratification (🥉19 · ⭐ 490) - scikit-learn cross validators for iterative.. BSD-3 - [GitHub](https://github.com/trent-b/iterative-stratification) (👨‍💻 4 · 🔀 44 · 📦 99 · 📋 11 - 9% open · ⏱️ 12.09.2020): ``` git clone https://github.com/trent-b/iterative-stratification ``` - [PyPi](https://pypi.org/project/iterative-stratification) (📥 2.8K / month · ⏱️ 12.08.2018): ``` pip install iterative-stratification ```
scikit-tda (🥉19 · ⭐ 260) - Topological Data Analysis for Python. MIT - [GitHub](https://github.com/scikit-tda/scikit-tda) (👨‍💻 2 · 🔀 32 · 📦 18 · 📋 14 - 78% open · ⏱️ 09.01.2021): ``` git clone https://github.com/scikit-tda/scikit-tda ``` - [PyPi](https://pypi.org/project/scikit-tda) (📥 4.3K / month · ⏱️ 09.01.2021): ``` pip install scikit-tda ```
DESlib (🥉17 · ⭐ 290) - A Python library for dynamic classifier and ensemble selection. BSD-3 - [GitHub](https://github.com/scikit-learn-contrib/DESlib) (👨‍💻 12 · 🔀 66 · 📦 13 · 📋 130 - 9% open · ⏱️ 01.01.2021): ``` git clone https://github.com/scikit-learn-contrib/DESlib ``` - [PyPi](https://pypi.org/project/deslib) (📥 120 / month · ⏱️ 18.02.2019): ``` pip install deslib ```
skggm (🥉17 · ⭐ 170) - Scikit-learn compatible estimation of general graphical models. MIT - [GitHub](https://github.com/skggm/skggm) (👨‍💻 5 · 🔀 31 · 📦 6 · 📋 74 - 36% open · ⏱️ 24.12.2020): ``` git clone https://github.com/skggm/skggm ``` - [PyPi](https://pypi.org/project/skggm) (📥 100 / month · 📦 1 · ⏱️ 12.09.2018): ``` pip install skggm ```
Show 5 hidden projects... - sklearn-crfsuite (🥈24 · ⭐ 360 · 💀) - scikit-learn inspired API for CRFsuite. MIT - scikit-multilearn (🥈22 · ⭐ 620 · 💀) - A scikit-learn based module for multi-label et. al... BSD-2 - skope-rules (🥉20 · ⭐ 350) - machine learning with logical rules in Python. ❗️BSD-1-Clause - celer (🥉17 · ⭐ 100) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,.. BSD-3 - dabl (🥉16 · ⭐ 62) - Data Analysis Baseline Library. BSD-3

## Pytorch Utilities Back to top _Libraries that extend Pytorch with additional capabilities._
pretrainedmodels (🥇27 · ⭐ 7.6K · 💤) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 - [GitHub](https://github.com/Cadene/pretrained-models.pytorch) (👨‍💻 22 · 🔀 1.6K · 📦 840 · 📋 170 - 49% open · ⏱️ 16.04.2020): ``` git clone https://github.com/Cadene/pretrained-models.pytorch ``` - [PyPi](https://pypi.org/project/pretrainedmodels) (📥 30K / month · 📦 100 · ⏱️ 29.10.2018): ``` pip install pretrainedmodels ```
pytorch-optimizer (🥇25 · ⭐ 1.6K) - torch-optimizer -- collection of optimizers for.. Apache-2 - [GitHub](https://github.com/jettify/pytorch-optimizer) (👨‍💻 19 · 🔀 150 · 📦 100 · 📋 33 - 30% open · ⏱️ 21.01.2021): ``` git clone https://github.com/jettify/pytorch-optimizer ``` - [PyPi](https://pypi.org/project/torch_optimizer) (📥 11K / month · ⏱️ 01.01.2021): ``` pip install torch_optimizer ```
torchdiffeq (🥇24 · ⭐ 3.3K) - Differentiable ODE solvers with full GPU support and.. MIT - [GitHub](https://github.com/rtqichen/torchdiffeq) (👨‍💻 19 · 🔀 570 · 📦 57 · 📋 120 - 11% open · ⏱️ 19.01.2021): ``` git clone https://github.com/rtqichen/torchdiffeq ``` - [PyPi](https://pypi.org/project/torchdiffeq) (📥 2K / month · ⏱️ 19.01.2021): ``` pip install torchdiffeq ```
pytorch-summary (🥇24 · ⭐ 2.9K) - Model summary in PyTorch similar to `model.summary()` in.. MIT - [GitHub](https://github.com/sksq96/pytorch-summary) (👨‍💻 11 · 🔀 340 · 📦 1.8K · 📋 140 - 73% open · ⏱️ 07.08.2020): ``` git clone https://github.com/sksq96/pytorch-summary ``` - [PyPi](https://pypi.org/project/torchsummary) (📥 33K / month · 📦 120 · ⏱️ 26.09.2018): ``` pip install torchsummary ```
PML (🥇24 · ⭐ 2.7K) - The easiest way to use deep metric learning in your application. Modular,.. MIT - [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (👨‍💻 12 · 🔀 360 · 📦 46 · 📋 200 - 15% open · ⏱️ 21.01.2021): ``` git clone https://github.com/KevinMusgrave/pytorch-metric-learning ``` - [PyPi](https://pypi.org/project/pytorch-metric-learning) (📥 3.5K / month · ⏱️ 21.01.2021): ``` pip install pytorch-metric-learning ``` - [Conda](https://anaconda.org/metric-learning/pytorch-metric-learning) (📥 1.1K · ⏱️ 12.01.2021): ``` conda install -c metric-learning pytorch-metric-learning ```
SRU (🥇24 · ⭐ 1.9K) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). MIT - [GitHub](https://github.com/asappresearch/sru) (👨‍💻 21 · 🔀 280 · 📦 15 · 📋 100 - 47% open · ⏱️ 17.12.2020): ``` git clone https://github.com/asappresearch/sru ``` - [PyPi](https://pypi.org/project/sru) (📥 1.8K / month · 📦 1 · ⏱️ 17.12.2020): ``` pip install sru ```
EfficientNet-PyTorch (🥈23 · ⭐ 5.4K) - A PyTorch implementation of EfficientNet. Apache-2 - [GitHub](https://github.com/lukemelas/EfficientNet-PyTorch) (👨‍💻 21 · 🔀 1K · 📥 300K · 📋 220 - 47% open · ⏱️ 09.10.2020): ``` git clone https://github.com/lukemelas/EfficientNet-PyTorch ``` - [PyPi](https://pypi.org/project/efficientnet-pytorch) (📥 29K / month · 📦 7 · ⏱️ 26.08.2020): ``` pip install efficientnet-pytorch ```
EfficientNets (🥈22 · ⭐ 1.2K) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2 - [GitHub](https://github.com/rwightman/gen-efficientnet-pytorch) (👨‍💻 5 · 🔀 170 · 📦 29 · ⏱️ 30.11.2020): ``` git clone https://github.com/rwightman/gen-efficientnet-pytorch ``` - [PyPi](https://pypi.org/project/geffnet) (📥 1.4K / month · ⏱️ 20.08.2020): ``` pip install geffnet ```
Torchmeta (🥈21 · ⭐ 1.2K) - A collection of extensions and data-loaders for few-shot learning.. MIT - [GitHub](https://github.com/tristandeleu/pytorch-meta) (👨‍💻 10 · 🔀 130 · 📦 25 · 📋 88 - 21% open · ⏱️ 25.11.2020): ``` git clone https://github.com/tristandeleu/pytorch-meta ``` - [PyPi](https://pypi.org/project/torchmeta) (📥 440 / month · ⏱️ 25.11.2020): ``` pip install torchmeta ```
PyTorch Sparse (🥈21 · ⭐ 340) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT - [GitHub](https://github.com/rusty1s/pytorch_sparse) (👨‍💻 12 · 🔀 44 · 📋 85 - 40% open · ⏱️ 19.01.2021): ``` git clone https://github.com/rusty1s/pytorch_sparse ``` - [PyPi](https://pypi.org/project/torch-sparse) (📥 4.1K / month · 📦 17 · ⏱️ 02.11.2020): ``` pip install torch-sparse ```
reformer-pytorch (🥈20 · ⭐ 1.3K) - Reformer, the efficient Transformer, in Pytorch. MIT - [GitHub](https://github.com/lucidrains/reformer-pytorch) (👨‍💻 9 · 🔀 170 · 📋 93 - 1% open · ⏱️ 11.12.2020): ``` git clone https://github.com/lucidrains/reformer-pytorch ``` - [PyPi](https://pypi.org/project/reformer-pytorch) (📥 940 / month · ⏱️ 06.12.2020): ``` pip install reformer-pytorch ```
torch-scatter (🥈20 · ⭐ 580) - PyTorch Extension Library of Optimized Scatter Operations. MIT - [GitHub](https://github.com/rusty1s/pytorch_scatter) (👨‍💻 14 · 🔀 73 · 📋 170 - 34% open · ⏱️ 19.01.2021): ``` git clone https://github.com/rusty1s/pytorch_scatter ``` - [PyPi](https://pypi.org/project/torch-scatter) (📥 4.6K / month · 📦 16 · ⏱️ 22.02.2020): ``` pip install torch-scatter ```
Pytorch Toolbelt (🥉19 · ⭐ 880) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT - [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (👨‍💻 5 · 🔀 71 · 📋 17 - 17% open · ⏱️ 14.01.2021): ``` git clone https://github.com/BloodAxe/pytorch-toolbelt ``` - [PyPi](https://pypi.org/project/pytorch_toolbelt) (📥 5.1K / month · 📦 1 · ⏱️ 14.01.2021): ``` pip install pytorch_toolbelt ```
TabNet (🥉19 · ⭐ 740) - PyTorch implementation of TabNet paper :.. MIT - [GitHub](https://github.com/dreamquark-ai/tabnet) (👨‍💻 17 · 🔀 140 · 📋 130 - 24% open · ⏱️ 12.01.2021): ``` git clone https://github.com/dreamquark-ai/tabnet ``` - [PyPi](https://pypi.org/project/pytorch-tabnet) (📥 2.2K / month · ⏱️ 12.01.2021): ``` pip install pytorch-tabnet ```
Higher (🥉18 · ⭐ 1K) - higher is a pytorch library allowing users to obtain higher order.. Apache-2 - [GitHub](https://github.com/facebookresearch/higher) (👨‍💻 6 · 🔀 73 · 📦 28 · 📋 71 - 33% open · ⏱️ 28.10.2020): ``` git clone https://github.com/facebookresearch/higher ``` - [PyPi](https://pypi.org/project/higher) (📥 640 / month · ⏱️ 14.07.2020): ``` pip install higher ```
Lambda Networks (🥉17 · ⭐ 1.3K · 🐣) - Implementation of LambdaNetworks, a new approach to.. MIT - [GitHub](https://github.com/lucidrains/lambda-networks) (👨‍💻 3 · 🔀 130 · 📋 23 - 34% open · ⏱️ 18.11.2020): ``` git clone https://github.com/lucidrains/lambda-networks ``` - [PyPi](https://pypi.org/project/lambda-networks) (📥 1.4K / month · ⏱️ 20.10.2020): ``` pip install lambda-networks ```
Tensor Sensor (🥉16 · ⭐ 500 · 🐣) - The goal of this library is to generate more helpful.. MIT - [GitHub](https://github.com/parrt/tensor-sensor) (👨‍💻 2 · 🔀 24 · 📦 1 · 📋 16 - 25% open · ⏱️ 07.01.2021): ``` git clone https://github.com/parrt/tensor-sensor ``` - [PyPi](https://pypi.org/project/tensor-sensor) (📥 210 / month · ⏱️ 03.12.2020): ``` pip install tensor-sensor ```
Performer Pytorch (🥉16 · ⭐ 470 · 🐣) - An implementation of Performer, a linear attention-.. MIT - [GitHub](https://github.com/lucidrains/performer-pytorch) (👨‍💻 4 · 🔀 60 · 📦 8 · 📋 49 - 34% open · ⏱️ 17.01.2021): ``` git clone https://github.com/lucidrains/performer-pytorch ``` - [PyPi](https://pypi.org/project/performer-pytorch) (📥 690 / month · ⏱️ 17.01.2021): ``` pip install performer-pytorch ```
Pywick (🥉16 · ⭐ 310) - High-level batteries-included neural network training library for.. MIT - [GitHub](https://github.com/achaiah/pywick) (👨‍💻 4 · 🔀 35 · 📦 2 · 📋 11 - 18% open · ⏱️ 24.09.2020): ``` git clone https://github.com/achaiah/pywick ``` - [PyPi](https://pypi.org/project/pywick) (📥 180 / month · ⏱️ 20.01.2020): ``` pip install pywick ```
tinygrad (🥉15 · ⭐ 4K · 🐣) - You like pytorch? You like micrograd? You love tinygrad!. MIT - [GitHub](https://github.com/geohot/tinygrad) (👨‍💻 42 · 🔀 440 · 📋 74 - 17% open · ⏱️ 05.01.2021): ``` git clone https://github.com/geohot/tinygrad ```
torchsde (🥉15 · ⭐ 630 · 🐣) - Differentiable SDE solvers with GPU support and efficient.. Apache-2 - [GitHub](https://github.com/google-research/torchsde) (👨‍💻 4 · 🔀 55 · 📋 32 - 18% open · ⏱️ 05.01.2021): ``` git clone https://github.com/google-research/torchsde ```
Tez (🥉14 · ⭐ 400 · 🐣) - Tez is a super-simple and lightweight Trainer for PyTorch. It.. Apache-2 - [GitHub](https://github.com/abhishekkrthakur/tez) (👨‍💻 1 · 🔀 48 · 📋 13 - 53% open · ⏱️ 15.01.2021): ``` git clone https://github.com/abhishekkrthakur/tez ``` - [PyPi](https://pypi.org/project/tez) (📥 1.1K / month · ⏱️ 26.12.2020): ``` pip install tez ```
micrograd (🥉13 · ⭐ 1.6K · 💤) - A tiny scalar-valued autograd engine and a neural net library.. MIT - [GitHub](https://github.com/karpathy/micrograd) (👨‍💻 2 · 🔀 110 · 📋 5 - 40% open · ⏱️ 18.04.2020): ``` git clone https://github.com/karpathy/micrograd ``` - [PyPi](https://pypi.org/project/micrograd) (📥 18 / month · ⏱️ 18.04.2020): ``` pip install micrograd ```
Torch-Struct (🥉13 · ⭐ 880) - Fast, general, and tested differentiable structured prediction.. MIT - [GitHub](https://github.com/harvardnlp/pytorch-struct) (👨‍💻 12 · 🔀 69 · 📋 35 - 37% open · ⏱️ 20.01.2021): ``` git clone https://github.com/harvardnlp/pytorch-struct ```
Show 3 hidden projects... - AdaBound (🥉19 · ⭐ 2.8K · 💀) - An optimizer that trains as fast as Adam and as good as SGD. Apache-2 - Poutyne (🥉19 · ⭐ 420) - A simplified framework and utilities for PyTorch. ❗️LGPL-3.0 - Antialiased CNNs (🥉17 · ⭐ 1.3K) - pip install antialiased-cnns to improve stability and.. ❗️CC BY-NC-SA 4.0

## Database Clients Back to top _Libraries for connecting to, operating, and querying databases._ 🔗 best-of-python - DB Clients ( ⭐ 820) - Collection of database clients for python.
## Others Back to top
scipy (🥇40 · ⭐ 7.8K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3 - [GitHub](https://github.com/scipy/scipy) (👨‍💻 1.1K · 🔀 3.5K · 📥 300K · 📦 290K · 📋 7.3K - 21% open · ⏱️ 21.01.2021): ``` git clone https://github.com/scipy/scipy ``` - [PyPi](https://pypi.org/project/scipy) (📥 13M / month · 📦 87K · ⏱️ 22.12.2020): ``` pip install scipy ``` - [Conda](https://anaconda.org/conda-forge/scipy) (📥 12M · ⏱️ 12.01.2021): ``` conda install -c conda-forge scipy ```
SymPy (🥇36 · ⭐ 7.8K) - A computer algebra system written in pure Python. BSD-3 - [GitHub](https://github.com/sympy/sympy) (👨‍💻 1K · 🔀 3.2K · 📥 410K · 📦 28K · 📋 11K - 35% open · ⏱️ 21.01.2021): ``` git clone https://github.com/sympy/sympy ``` - [PyPi](https://pypi.org/project/sympy) (📥 500K / month · 📦 6.4K · ⏱️ 12.12.2020): ``` pip install sympy ``` - [Conda](https://anaconda.org/conda-forge/sympy) (📥 1.3M · ⏱️ 08.01.2021): ``` conda install -c conda-forge sympy ```
PyOD (🥇29 · ⭐ 4.1K) - A Python Toolbox for Scalable Outlier Detection (Anomaly Detection). BSD-2 - [GitHub](https://github.com/yzhao062/pyod) (👨‍💻 22 · 🔀 840 · 📦 460 · 📋 180 - 55% open · ⏱️ 12.01.2021): ``` git clone https://github.com/yzhao062/pyod ``` - [PyPi](https://pypi.org/project/pyod) (📥 74K / month · 📦 6 · ⏱️ 12.01.2021): ``` pip install pyod ```
Keras-Preprocessing (🥇29 · ⭐ 900) - Utilities for working with image data, text data, and.. MIT - [GitHub](https://github.com/keras-team/keras-preprocessing) (👨‍💻 48 · 🔀 390 · 📋 190 - 48% open · ⏱️ 19.01.2021): ``` git clone https://github.com/keras-team/keras-preprocessing ``` - [PyPi](https://pypi.org/project/keras-preprocessing) (📥 3.3M / month · 📦 2.7K · ⏱️ 14.05.2020): ``` pip install keras-preprocessing ``` - [Conda](https://anaconda.org/conda-forge/keras-preprocessing) (📥 770K · ⏱️ 15.01.2021): ``` conda install -c conda-forge keras-preprocessing ```
Cython BLIS (🥇28 · ⭐ 160) - Fast matrix-multiplication as a self-contained Python library no.. BSD-3 - [GitHub](https://github.com/explosion/cython-blis) (👨‍💻 9 · 🔀 22 · 📦 7.9K · 📋 21 - 28% open · ⏱️ 07.12.2020): ``` git clone https://github.com/explosion/cython-blis ``` - [PyPi](https://pypi.org/project/blis) (📥 730K / month · 📦 390 · ⏱️ 07.12.2020): ``` pip install blis ``` - [Conda](https://anaconda.org/conda-forge/cython-blis) (📥 390K · ⏱️ 07.12.2020): ``` conda install -c conda-forge cython-blis ```
hdbscan (🥈27 · ⭐ 1.8K) - A high performance implementation of HDBSCAN clustering. BSD-3 - [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (👨‍💻 65 · 🔀 340 · 📦 710 · 📋 370 - 61% open · ⏱️ 18.01.2021): ``` git clone https://github.com/scikit-learn-contrib/hdbscan ``` - [PyPi](https://pypi.org/project/hdbscan) (📥 99K / month · 📦 120 · ⏱️ 19.03.2020): ``` pip install hdbscan ``` - [Conda](https://anaconda.org/conda-forge/hdbscan) (📥 510K · ⏱️ 02.11.2020): ``` conda install -c conda-forge hdbscan ```
pyopencl (🥈27 · ⭐ 760) - OpenCL integration for Python, plus shiny features. MIT - [GitHub](https://github.com/inducer/pyopencl) (👨‍💻 82 · 🔀 200 · 📦 450 · 📋 260 - 19% open · ⏱️ 21.01.2021): ``` git clone https://github.com/inducer/pyopencl ``` - [PyPi](https://pypi.org/project/pyopencl) (📥 4.7K / month · 📦 240 · ⏱️ 20.11.2020): ``` pip install pyopencl ``` - [Conda](https://anaconda.org/conda-forge/pyopencl) (📥 300K · ⏱️ 13.01.2021): ``` conda install -c conda-forge pyopencl ```
Streamlit (🥈26 · ⭐ 13K) - Streamlit The fastest way to build data apps in Python. Apache-2 - [GitHub](https://github.com/streamlit/streamlit) (👨‍💻 85 · 🔀 1.1K · 📦 49 · 📋 1.5K - 36% open · ⏱️ 21.01.2021): ``` git clone https://github.com/streamlit/streamlit ``` - [PyPi](https://pypi.org/project/streamlit) (📥 100K / month · 📦 34 · ⏱️ 07.01.2021): ``` pip install streamlit ```
carla (🥈26 · ⭐ 5.5K) - Open-source simulator for autonomous driving research. MIT - [GitHub](https://github.com/carla-simulator/carla) (👨‍💻 120 · 🔀 1.6K · 📦 55 · 📋 2.9K - 9% open · ⏱️ 22.12.2020): ``` git clone https://github.com/carla-simulator/carla ``` - [PyPi](https://pypi.org/project/carla) (📥 460 / month · 📦 2 · ⏱️ 28.04.2019): ``` pip install carla ```
Datasette (🥈26 · ⭐ 4.6K) - An open source multi-tool for exploring and publishing data. Apache-2 - [GitHub](https://github.com/simonw/datasette) (👨‍💻 42 · 🔀 240 · 📥 24 · 📦 340 · 📋 950 - 22% open · ⏱️ 19.01.2021): ``` git clone https://github.com/simonw/datasette ``` - [PyPi](https://pypi.org/project/datasette) (📥 4K / month · 📦 70 · ⏱️ 19.01.2021): ``` pip install datasette ```
Pythran (🥈26 · ⭐ 1.5K · 📈) - Ahead of Time compiler for numeric kernels. BSD-3 - [GitHub](https://github.com/serge-sans-paille/pythran) (👨‍💻 47 · 🔀 130 · 📦 48 · 📋 640 - 15% open · ⏱️ 06.01.2021): ``` git clone https://github.com/serge-sans-paille/pythran ``` - [PyPi](https://pypi.org/project/pythran) (📥 4.7K / month · 📦 13 · ⏱️ 11.12.2020): ``` pip install pythran ``` - [Conda](https://anaconda.org/conda-forge/pythran) (📥 120K · ⏱️ 15.12.2020): ``` conda install -c conda-forge pythran ```
agate (🥈26 · ⭐ 1K · 💤) - A Python data analysis library that is optimized for humans instead of.. MIT - [GitHub](https://github.com/wireservice/agate) (👨‍💻 47 · 🔀 130 · 📦 480 · 📋 640 - 8% open · ⏱️ 01.04.2020): ``` git clone https://github.com/wireservice/agate ``` - [PyPi](https://pypi.org/project/agate) (📥 150K / month · 📦 92 · ⏱️ 11.03.2018): ``` pip install agate ``` - [Conda](https://anaconda.org/conda-forge/agate) (📥 59K · ⏱️ 19.08.2018): ``` conda install -c conda-forge agate ```
pyclustering (🥈26 · ⭐ 780) - pyclustring is a Python, C++ data mining library. BSD-3 - [GitHub](https://github.com/annoviko/pyclustering) (👨‍💻 26 · 🔀 180 · 📥 280 · 📦 170 · 📋 640 - 8% open · ⏱️ 03.12.2020): ``` git clone https://github.com/annoviko/pyclustering ``` - [PyPi](https://pypi.org/project/pyclustering) (📥 17K / month · 📦 36 · ⏱️ 25.11.2020): ``` pip install pyclustering ``` - [Conda](https://anaconda.org/conda-forge/pyclustering) (📥 12K · ⏱️ 30.11.2020): ``` conda install -c conda-forge pyclustering ```
Trax (🥈25 · ⭐ 5.6K) - Trax Deep Learning with Clear Code and Speed. Apache-2 - [GitHub](https://github.com/google/trax) (👨‍💻 56 · 🔀 520 · 📦 20 · 📋 150 - 34% open · ⏱️ 21.01.2021): ``` git clone https://github.com/google/trax ``` - [PyPi](https://pypi.org/project/trax) (📥 3.1K / month · ⏱️ 18.12.2020): ``` pip install trax ```
DeepChem (🥈25 · ⭐ 2.7K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT - [GitHub](https://github.com/deepchem/deepchem) (👨‍💻 140 · 🔀 900 · 📦 35 · 📋 1.2K - 28% open · ⏱️ 20.01.2021): ``` git clone https://github.com/deepchem/deepchem ``` - [PyPi](https://pypi.org/project/deepchem) (📥 1.5K / month · 📦 4 · ⏱️ 19.01.2021): ``` pip install deepchem ```
causalml (🥈25 · ⭐ 1.6K) - Uplift modeling and causal inference with machine learning.. Apache-2 - [GitHub](https://github.com/uber/causalml) (👨‍💻 23 · 🔀 240 · 📦 11 · 📋 150 - 12% open · ⏱️ 20.01.2021): ``` git clone https://github.com/uber/causalml ``` - [PyPi](https://pypi.org/project/causalml) (📥 8.5K / month · ⏱️ 23.10.2020): ``` pip install causalml ```
TabPy (🥈24 · ⭐ 1K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT - [GitHub](https://github.com/tableau/TabPy) (👨‍💻 38 · 🔀 370 · 📦 43 · 📋 250 - 3% open · ⏱️ 11.11.2020): ``` git clone https://github.com/tableau/TabPy ``` - [PyPi](https://pypi.org/project/tabpy) (📥 1.6K / month · ⏱️ 11.11.2020): ``` pip install tabpy ```
kmodes (🥈24 · ⭐ 800) - Python implementations of the k-modes and k-prototypes clustering.. MIT - [GitHub](https://github.com/nicodv/kmodes) (👨‍💻 16 · 🔀 340 · 📦 420 · 📋 120 - 15% open · ⏱️ 04.11.2020): ``` git clone https://github.com/nicodv/kmodes ``` - [PyPi](https://pypi.org/project/kmodes) (📥 48K / month · 📦 13 · ⏱️ 25.02.2020): ``` pip install kmodes ```
PennyLane (🥈24 · ⭐ 710) - PennyLane is a cross-platform Python library for differentiable.. Apache-2 - [GitHub](https://github.com/PennyLaneAI/pennylane) (👨‍💻 39 · 🔀 210 · 📥 52 · 📋 280 - 17% open · ⏱️ 21.01.2021): ``` git clone https://github.com/PennyLaneAI/PennyLane ``` - [PyPi](https://pypi.org/project/pennylane) (📥 1.6K / month · 📦 20 · ⏱️ 27.11.2020): ``` pip install pennylane ```
pyjanitor (🥈24 · ⭐ 620) - Clean APIs for data cleaning. Python implementation of R package Janitor. MIT - [GitHub](https://github.com/ericmjl/pyjanitor) (👨‍💻 87 · 🔀 120 · 📦 75 · 📋 370 - 24% open · ⏱️ 31.12.2020): ``` git clone https://github.com/ericmjl/pyjanitor ``` - [PyPi](https://pypi.org/project/pyjanitor) (📥 1.4K / month · 📦 2 · ⏱️ 03.10.2020): ``` pip install pyjanitor ``` - [Conda](https://anaconda.org/conda-forge/pyjanitor) (📥 77K · ⏱️ 04.10.2020): ``` conda install -c conda-forge pyjanitor ```
findspark (🥈24 · ⭐ 390 · 💤) - Find pyspark to make it importable. BSD-3 - [GitHub](https://github.com/minrk/findspark) (👨‍💻 14 · 🔀 64 · 📦 1.5K · 📋 19 - 57% open · ⏱️ 08.06.2020): ``` git clone https://github.com/minrk/findspark ``` - [PyPi](https://pypi.org/project/findspark) (📥 520K / month · 📦 200 · ⏱️ 08.06.2020): ``` pip install findspark ``` - [Conda](https://anaconda.org/conda-forge/findspark) (📥 480K · ⏱️ 06.07.2018): ``` conda install -c conda-forge findspark ```
datalad (🥈24 · ⭐ 220) - Keep code, data, containers under control with git and git-annex. MIT - [GitHub](https://github.com/datalad/datalad) (👨‍💻 40 · 🔀 68 · 📋 2.9K - 24% open · ⏱️ 21.01.2021): ``` git clone https://github.com/datalad/datalad ``` - [PyPi](https://pypi.org/project/datalad) (📥 1.3K / month · 📦 26 · ⏱️ 14.12.2020): ``` pip install datalad ``` - [Conda](https://anaconda.org/conda-forge/datalad) (📥 77K · ⏱️ 04.01.2021): ``` conda install -c conda-forge datalad ```
PaddleHub (🥉23 · ⭐ 4.4K) - Awesome pre-trained models toolkit based on.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/PaddleHub) (👨‍💻 32 · 🔀 1K · 📥 440 · 📦 78 · 📋 650 - 41% open · ⏱️ 20.01.2021): ``` git clone https://github.com/PaddlePaddle/PaddleHub ``` - [PyPi](https://pypi.org/project/paddlehub) (📥 1.5K / month · ⏱️ 06.01.2021): ``` pip install paddlehub ```
Gradio (🥉23 · ⭐ 1.9K) - Wrap UIs around any model, share with anyone. Apache-2 - [GitHub](https://github.com/gradio-app/gradio) (👨‍💻 14 · 🔀 120 · 📦 60 · 📋 64 - 7% open · ⏱️ 20.01.2021): ``` git clone https://github.com/gradio-app/gradio ``` - [PyPi](https://pypi.org/project/gradio) (📥 1.4K / month · 📦 1 · ⏱️ 23.12.2020): ``` pip install gradio ```
metric-learn (🥉23 · ⭐ 1.1K) - Metric learning algorithms in Python. MIT - [GitHub](https://github.com/scikit-learn-contrib/metric-learn) (👨‍💻 19 · 🔀 200 · 📦 120 · 📋 160 - 30% open · ⏱️ 04.08.2020): ``` git clone https://github.com/scikit-learn-contrib/metric-learn ``` - [PyPi](https://pypi.org/project/metric-learn) (📥 14K / month · 📦 9 · ⏱️ 02.07.2020): ``` pip install metric-learn ```
tensorly (🥉23 · ⭐ 950) - TensorLy: Tensor Learning in Python. BSD-2 - [GitHub](https://github.com/tensorly/tensorly) (👨‍💻 38 · 🔀 190 · 📋 120 - 20% open · ⏱️ 03.01.2021): ``` git clone https://github.com/tensorly/tensorly ``` - [PyPi](https://pypi.org/project/tensorly) (📥 2.3K / month · 📦 20 · ⏱️ 07.12.2020): ``` pip install tensorly ``` - [Conda](https://anaconda.org/conda-forge/tensorly) (📥 110K · ⏱️ 07.12.2020): ``` conda install -c conda-forge tensorly ```
PySwarms (🥉23 · ⭐ 710) - A research toolkit for particle swarm optimization in Python. MIT - [GitHub](https://github.com/ljvmiranda921/pyswarms) (👨‍💻 42 · 🔀 230 · 📦 87 · 📋 170 - 9% open · ⏱️ 03.01.2021): ``` git clone https://github.com/ljvmiranda921/pyswarms ``` - [PyPi](https://pypi.org/project/pyswarms) (📥 4.5K / month · ⏱️ 03.01.2021): ``` pip install pyswarms ```
SUOD (🥉23 · ⭐ 240) - (MLSys' 21) An Acceleration System for Large-scare Unsupervised.. BSD-2 - [GitHub](https://github.com/yzhao062/SUOD) (👨‍💻 1 · 🔀 26 · 📦 250 · 📋 5 - 60% open · ⏱️ 19.01.2021): ``` git clone https://github.com/yzhao062/SUOD ``` - [PyPi](https://pypi.org/project/suod) (📥 73K / month · ⏱️ 15.01.2021): ``` pip install suod ```
Mars (🥉22 · ⭐ 2K) - Mars is a tensor-based unified framework for large-scale data computation.. Apache-2 - [GitHub](https://github.com/mars-project/mars) (👨‍💻 17 · 🔀 240 · 📦 3 · 📋 750 - 15% open · ⏱️ 21.01.2021): ``` git clone https://github.com/mars-project/mars ``` - [PyPi](https://pypi.org/project/pymars) (📥 2.2K / month · ⏱️ 17.01.2021): ``` pip install pymars ```
cleanlab (🥉22 · ⭐ 1.4K) - The standard package for machine learning with noisy labels and finding.. MIT - [GitHub](https://github.com/cgnorthcutt/cleanlab) (👨‍💻 5 · 🔀 150 · 📦 10 · 📋 52 - 32% open · ⏱️ 10.01.2021): ``` git clone https://github.com/cgnorthcutt/cleanlab ``` - [PyPi](https://pypi.org/project/cleanlab) (📥 2.8K / month · ⏱️ 17.02.2020): ``` pip install cleanlab ```
pycm (🥉22 · ⭐ 1K) - Multi-class confusion matrix library in Python. MIT - [GitHub](https://github.com/sepandhaghighi/pycm) (👨‍💻 14 · 🔀 92 · 📦 85 · 📋 160 - 7% open · ⏱️ 26.10.2020): ``` git clone https://github.com/sepandhaghighi/pycm ``` - [PyPi](https://pypi.org/project/pycm) (📥 2K / month · 📦 10 · ⏱️ 26.10.2020): ``` pip install pycm ```
modAL (🥉22 · ⭐ 1K) - A modular active learning framework for Python. MIT - [GitHub](https://github.com/modAL-python/modAL) (👨‍💻 14 · 🔀 170 · 📥 2 · 📦 44 · 📋 93 - 46% open · ⏱️ 07.01.2021): ``` git clone https://github.com/modAL-python/modAL ``` - [PyPi](https://pypi.org/project/modAL) (📥 880 / month · 📦 8 · ⏱️ 07.01.2021): ``` pip install modAL ```
Prince (🥉22 · ⭐ 560) - Python factor analysis library (PCA, CA, MCA, MFA, FAMD). MIT - [GitHub](https://github.com/MaxHalford/prince) (👨‍💻 9 · 🔀 110 · 📦 100 · 📋 89 - 28% open · ⏱️ 11.01.2021): ``` git clone https://github.com/MaxHalford/prince ``` - [PyPi](https://pypi.org/project/prince) (📥 4.7K / month · 📦 3 · ⏱️ 06.10.2020): ``` pip install prince ```
AstroML (🥉21 · ⭐ 710) - Machine learning, statistics, and data mining for astronomy and.. BSD-2 - [GitHub](https://github.com/astroML/astroML) (👨‍💻 29 · 🔀 250 · 📦 160 · 📋 130 - 37% open · ⏱️ 09.09.2020): ``` git clone https://github.com/astroML/astroML ``` - [PyPi](https://pypi.org/project/astroML) (📥 490 / month · 📦 29 · ⏱️ 23.03.2020): ``` pip install astroML ``` - [Conda](https://anaconda.org/conda-forge/astroml) (📥 21K · ⏱️ 16.02.2020): ``` conda install -c conda-forge astroml ```
BioPandas (🥉21 · ⭐ 320) - Working with molecular structures in pandas DataFrames. BSD-3 - [GitHub](https://github.com/rasbt/biopandas) (👨‍💻 7 · 🔀 76 · 📦 47 · 📋 34 - 47% open · ⏱️ 01.01.2021): ``` git clone https://github.com/rasbt/biopandas ``` - [PyPi](https://pypi.org/project/biopandas) (📥 190 / month · 📦 6 · ⏱️ 04.08.2020): ``` pip install biopandas ``` - [Conda](https://anaconda.org/conda-forge/biopandas) (📥 62K · ⏱️ 08.08.2020): ``` conda install -c conda-forge biopandas ```
StreamAlert (🥉20 · ⭐ 2.5K) - StreamAlert is a serverless, realtime data analysis framework.. Apache-2 - [GitHub](https://github.com/airbnb/streamalert) (👨‍💻 30 · 🔀 280 · 📋 340 - 26% open · ⏱️ 05.10.2020): ``` git clone https://github.com/airbnb/streamalert ```
mlens (🥉20 · ⭐ 670 · 💤) - ML-Ensemble high performance ensemble learning. MIT - [GitHub](https://github.com/flennerhag/mlens) (👨‍💻 7 · 🔀 81 · 📦 100 · 📋 81 - 9% open · ⏱️ 25.02.2020): ``` git clone https://github.com/flennerhag/mlens ``` - [PyPi](https://pypi.org/project/mlens) (📥 1.8K / month · ⏱️ 30.10.2018): ``` pip install mlens ```
alibi-detect (🥉20 · ⭐ 530) - Algorithms for outlier and adversarial instance detection,.. Apache-2 - [GitHub](https://github.com/SeldonIO/alibi-detect) (👨‍💻 7 · 🔀 54 · 📦 18 · 📋 72 - 43% open · ⏱️ 05.01.2021): ``` git clone https://github.com/SeldonIO/alibi-detect ``` - [PyPi](https://pypi.org/project/alibi-detect) (📥 1K / month · 📦 1 · ⏱️ 08.10.2020): ``` pip install alibi-detect ```
rrcf (🥉20 · ⭐ 280 · 💤) - Implementation of the Robust Random Cut Forest algorithm for anomaly.. MIT - [GitHub](https://github.com/kLabUM/rrcf) (👨‍💻 4 · 🔀 65 · 📦 18 · 📋 33 - 48% open · ⏱️ 10.06.2020): ``` git clone https://github.com/kLabUM/rrcf ``` - [PyPi](https://pypi.org/project/rrcf) (📥 2K / month · ⏱️ 10.06.2020): ``` pip install rrcf ```
gplearn (🥉19 · ⭐ 900 · 💤) - Genetic Programming in Python, with a scikit-learn inspired API. BSD-3 - [GitHub](https://github.com/trevorstephens/gplearn) (👨‍💻 10 · 🔀 150 · 📦 130 · 📋 140 - 19% open · ⏱️ 15.02.2020): ``` git clone https://github.com/trevorstephens/gplearn ``` - [PyPi](https://pypi.org/project/gplearn) (📥 920 / month · 📦 7 · ⏱️ 01.06.2019): ``` pip install gplearn ```
baikal (🥉19 · ⭐ 570) - A graph-based functional API for building complex scikit-learn pipelines. BSD-3 - [GitHub](https://github.com/alegonz/baikal) (👨‍💻 2 · 🔀 28 · 📦 3 · 📋 15 - 26% open · ⏱️ 18.01.2021): ``` git clone https://github.com/alegonz/baikal ``` - [PyPi](https://pypi.org/project/baikal) (📥 33 / month · ⏱️ 15.11.2020): ``` pip install baikal ``` - [Conda](https://anaconda.org/conda-forge/cython-blis) (📥 390K · ⏱️ 07.12.2020): ``` conda install -c conda-forge cython-blis ```
Feature Engine (🥉19 · ⭐ 420) - Feature engineering package with sklearn like functionality. BSD-3 - [GitHub](https://github.com/solegalli/feature_engine) (👨‍💻 20 · 🔀 130 · 📋 98 - 27% open · ⏱️ 15.01.2021): ``` git clone https://github.com/solegalli/feature_engine ``` - [PyPi](https://pypi.org/project/feature_engine) (📥 13K / month · 📦 2 · ⏱️ 11.01.2021): ``` pip install feature_engine ``` - [Conda](https://anaconda.org/conda-forge/feature_engine) (📥 1.2K · ⏱️ 11.01.2021): ``` conda install -c conda-forge feature_engine ```
scikit-rebate (🥉19 · ⭐ 300 · 📉) - A scikit-learn-compatible Python implementation of.. MIT - [GitHub](https://github.com/EpistasisLab/scikit-rebate) (👨‍💻 13 · 🔀 56 · 📦 120 · 📋 32 - 46% open · ⏱️ 18.07.2020): ``` git clone https://github.com/EpistasisLab/scikit-rebate ``` - [PyPi](https://pypi.org/project/skrebate) (📥 990 / month · 📦 31 · ⏱️ 18.07.2020): ``` pip install skrebate ```
apricot (🥉18 · ⭐ 300) - apricot implements submodular optimization for the purpose of selecting.. MIT - [GitHub](https://github.com/jmschrei/apricot) (👨‍💻 2 · 🔀 29 · 📥 8 · 📦 12 · 📋 14 - 21% open · ⏱️ 30.09.2020): ``` git clone https://github.com/jmschrei/apricot ``` - [PyPi](https://pypi.org/project/apricot-select) (📥 270 / month · ⏱️ 28.09.2020): ``` pip install apricot-select ```
River (🥉17 · ⭐ 1.3K) - Online machine learning in Python. BSD-3 - [GitHub](https://github.com/online-ml/river) (👨‍💻 58 · 🔀 160 · 📋 280 - 13% open · ⏱️ 18.01.2021): ``` git clone https://github.com/online-ml/river ```
traingenerator (🥉10 · ⭐ 890 · 🐣) - A web app to generate template code for machine learning. MIT - [GitHub](https://github.com/jrieke/traingenerator) (👨‍💻 3 · 🔀 110 · 📋 11 - 90% open · ⏱️ 20.01.2021): ``` git clone https://github.com/jrieke/traingenerator ```
Show 6 hidden projects... - Autograd (🥇29 · ⭐ 5.1K · 💀) - Efficiently computes derivatives of numpy code. MIT - pysc2 (🥈24 · ⭐ 7.1K · 💀) - StarCraft II Learning Environment. Apache-2 - minisom (🥉22 · ⭐ 760) - MiniSom is a minimalistic implementation of the Self Organizing.. ❗️CC-BY-3.0 - impyute (🥉20 · ⭐ 260 · 💀) - Data imputations library to preprocess datasets with missing data. MIT - vecstack (🥉18 · ⭐ 570 · 💀) - Python package for stacking (machine learning technique). MIT - pandas-ml (🥉17 · ⭐ 260 · 💀) - pandas, scikit-learn, xgboost and seaborn integration. BSD-3
--- ## Related Resources - [**Papers With Code**](https://paperswithcode.com): Discover ML papers, code, and evaluation tables. - [**Sotabench**](https://sotabench.com): Discover & compare open-source ML models. - [**Google Dataset Search**](https://toolbox.google.com/datasetsearch): Dataset search engine by Google. - [**Dataset List**](https://www.datasetlist.com/): List of the biggest ML datasets from across the web. - [**Awesome Public Datasets**](https://github.com/awesomedata/awesome-public-datasets): A topic-centric list of open datasets. - [**Best-of lists**](https://best-of.org): Discover other best-of lists with awesome open-source projects on all kinds of topics. - [**best-of-python-dev**](https://github.com/ml-tooling/best-of-python-dev): A ranked list of awesome python developer tools and libraries. - [**best-of-web-python**](https://github.com/ml-tooling/best-of-web-python): A ranked list of awesome python libraries for web development. ## Contribution Contributions are encouraged and always welcome! If you like to add or update projects, choose one of the following ways: - Open an issue by selecting one of the provided categories from the [issue page](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose) and fill in the requested information. - Modify the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/blob/main/projects.yaml) with your additions or changes, and submit a pull request. This can also be done directly via the [Github UI](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml). If you like to contribute to or share suggestions regarding the project metadata collection or markdown generation, please refer to the [best-of-generator](https://github.com/best-of-lists/best-of-generator) repository. If you like to create your own best-of list, we recommend to follow [this guide](https://github.com/best-of-lists/best-of/blob/main/create-best-of-list.md). For more information on how to add or update projects, please read the [contribution guidelines](https://github.com/ml-tooling/best-of-ml-python/blob/main/CONTRIBUTING.md). By participating in this project, you agree to abide by its [Code of Conduct](https://github.com/ml-tooling/best-of-ml-python/blob/main/.github/CODE_OF_CONDUCT.md). ## License [![CC0](https://mirrors.creativecommons.org/presskit/buttons/88x31/svg/by-sa.svg)](https://creativecommons.org/licenses/by-sa/4.0/)