# IDP
**Repository Path**: jacky-xujx/IDP
## Basic Information
- **Project Name**: IDP
- **Description**: IDP 是一款面向数据科学家和大数据工程师的开源 AI IDE。
- **Primary Language**: Rust
- **License**: Apache-2.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 11
- **Created**: 2023-10-31
- **Last Updated**: 2023-10-31
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
[English](README.md) | [简体中文](README_zh.md)

[](https://github.com/BaihaiAI/IDP/blob/main/LICENSE)
[](https://www.rust-lang.org/)
[](https://www.javascript.com/)
[](https://www.python.org/)
## What is IDP?
IDP is an open source AI IDE, natively supporting Python & SQL - the two most commonly used language in the field of AI and data science.
IDP is designed to make data scientists and algorithm engineers more productive. Also, with the kernel written in Rust, IDP exhibits excellent execution performance.
## Key Features
With the help of IDP, data scientists and algorithm engineers can focus more on their core work- algorithm development. IDP will take care of all the engineering work, from environment and file management to plug-in development and configuration, etc..
The core features of IDP are as follows:
* Mixed language support: deeply support Python, SQL and Markdown language in the same notebook.
* Data visualization: generating data insights directly using in-built data visualization tools, e.g.,bar charts, scatter charts, line charts, etc..
* Automatic versioning: automatic tracking and managing of code changes; clear and convenient version comparison.
* Coding assistance: powerful coding assistance functions including intelligent code completion, hovor, diagnostic and quickfix.
* Package manager: search and manage python packages easily and efficiently.
* Variable manager: interactively browse and manage variables and conveniently compare different algorithm approaches and parameter settings.
* Managing environment: conveniently cloning a Python/system environment for reuse to avoid tedious repeated configuration.

## Quick Start
### Start IDP within Docker
``` bash
> docker pull baihaiopensource/idp-studio
> docker run -p 3000:3000 baihaiopensource/idp-studio
```
Then open http://localhost:3000 with your browser.
### Start IDP with pre-built binary
- [Windows x86_64](https://baihai.cn-bj.ufileos.com/package/idp-studio-v1.0.0-win-x64.zip)
- [macOS arm64](https://baihai.cn-bj.ufileos.com/package/idp-studio-v1.1.0-darwin-arm64.tar.gz)
- [macOS x86_64](https://baihai.cn-bj.ufileos.com/package/idp-studio-v1.0.0-darwin-x64.tar.gz)
- [Linux x86_64](https://baihai.cn-bj.ufileos.com/package/idp-studio-v1.1.0-linux-x64.tar.gz)
For example start IDP with pre-built binary in Linux, require Python 3.7 and up (CPython and PyPy)
```
wget https://baihai.cn-bj.ufileos.com/package/idp-studio-v1.0.0-linux-x64.tar.gz
tar zxf idp-studio-v1.0.0-linux-x64.tar.gz
cd idp-studio-v1.0.0-linux-x64
./idp
```
### Start with IDP on Cloud:
Quickly check out IDP SaaS with
### Build from source
See [Compile And Deploy IDP From Source](/docs/compile-deploy-from-source.md)
## Contributing
Please read [contributing.md](/docs/contributing.md) for details on the process for submitting issues and pull requests to us.
## Code of Conduct
Please refer to the [Code of Conduct](/docs/code-of-conduct.md), which describes the expectations for interactions within the community.
## Document
Please refer to [IDP User Guide](https://baihai-idp.yuque.com/mwvla8/tyonh6?#) for detailed instructions.
## Community
If you have any question, feel free to reach out to us in the following ways:
- [On Slack](https://join.slack.com/t/idp-tjo1834/shared_invite/zt-1kee8cd8x-iNZ0rvwClRfx7sLgmmKKyg)
- [On Twitter](https://twitter.com/baihaiAI)
- [On Linkedin](https://www.linkedin.com/company/80179567/admin/)
- [Mail to us](https://baihai.co/contactus.html)
- [Wechat Group](https://raw.githubusercontent.com/BaihaiAI/IDP/main/docs/WeChat%20Group%20QR.png)
## License
IDP is licensed under [Apache-2.0](LICENSE).