# C4dynamics **Repository Path**: RexHuang936/C4dynamics ## Basic Information - **Project Name**: C4dynamics - **Description**: No description available - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2026-07-19 - **Last Updated**: 2026-07-19 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README
Published in the Journal of Open Source Software (JOSS)

pyOpenSci Peer Reviewed

# Tsipor Dynamics ## Algorithms Engineering and Development Tsipor (bird) Dynamics (c4dynamics) is the Python framework for state-space modeling and algorithm development. ![Static Badge](https://img.shields.io/badge/python-%20?style=for-the-badge&logo=python&color=white) ![PyPI - Version](https://img.shields.io/pypi/v/c4dynamics?style=for-the-badge&color=orange&link=https%3A%2F%2Fpypi.org%2Fproject%2Fc4dynamics%2F) ![GitHub deployments](https://img.shields.io/github/deployments/C4dynamics/C4dynamics/github-pages%20?style=for-the-badge&label=docs) ![GitHub Actions Workflow Status](https://img.shields.io/github/actions/workflow/status/c4dynamics/c4dynamics/run-tests.yml?style=for-the-badge&label=tests&link=https%3A%2F%2Fgithub.com%2FC4dynamics%2FC4dynamics%2Fblob%2Fmain%2F.github%2Fworkflows%2Frun-tests.yml) ![GitHub Actions Workflow Status](https://img.shields.io/github/actions/workflow/status/C4dynamics/C4dynamics/paper.yml?style=for-the-badge&label=Paper) ![Pepy Total Downloads](https://img.shields.io/pepy/dt/c4dynamics?style=for-the-badge&color=blue%20&link=https%3A%2F%2Fpepy.tech%2Fprojects%2Fc4dynamics%3FtimeRange%3DthreeMonths%26category%3Dversion%26includeCIDownloads%3Dtrue%26granularity%3Ddaily%26viewType%3Dline%26versions%3D2.0.3%252C2.0.1%252C2.0.0) ### **Stop starting from scratch every time you change systems** **Same workflow. Different systems.** > Most engineers rebuild everything. > **c4dynamics keeps the structure fixed.** --- ## What is c4dynamics? **c4dynamics** is a Python framework for building, simulating, estimating, and controlling physical systems — without resetting your workflow every time the system changes. It gives you one consistent way to: * define a system * simulate its evolution * estimate its state * design control Across: > robotics · aerospace · autonomous systems · navigation ---
--- ## 🧪 Examples **Real implementations of modeling, estimation, and control** > These are not isolated demos. > They all follow the same structure. | [6-DOF Simulation](https://c4dynamics.github.io/c4dynamics/programs/pn_guidance/dof6sim.html) | [Extended Kalman Filter](https://c4dynamics.github.io/c4dynamics/programs/ballistic_ekf/ballistic_coefficient.html) | [YOLO + Kalman Filter](https://c4dynamics.github.io/c4dynamics/programs/car_tracker/car_tracker.html) | [Model Predictive Control](https://c4dynamics.github.io/c4dynamics/programs/mpc_steering/mpc_steering.html) | [Quadcopter Cascade PID](https://c4dynamics.github.io/c4dynamics/programs/pid_cascade/quadcopter_pid.html) | |:-:|:-:|:-:|:-:|:-:| | | | | | | | Proportional navigation guidance | Ballistic coefficient estimation | Vehicle tracking | Vehicle steering | Figure-8 trajectory tracking | --- ## The switching problem Switching systems shouldn’t feel like starting over. But it does: * new models * new simulation structure * new estimation logic * new control pipeline You don’t just learn new physics. > **You rebuild everything.** --- ## The workflow > **Keep the workflow. Change the physics.** c4dynamics enforces a consistent structure: ``` define → simulate → estimate → control ``` So when the system changes: > your thinking doesn’t. --- ## Core principle > **Physics first. Programming second.** * Code implements * Models define reality * Algorithms follow structure --- ## What you get * state-based modeling primitives * simulation infrastructure * Kalman / Extended Kalman filters * sensor and detection modules * reinforcement learning environments * OpenCV / Open3D integration * Monte Carlo simulation support --- ## Who this is for * control engineers * robotics engineers * aerospace engineers * autonomy developers Especially if you’ve felt: > “I know this stuff… but I don’t use it.” --- ## Quickstart ```python >>> import c4dynamics as c4d ``` # define system ```python s = c4d.state(y=1, vy=0.5) ``` # simulate ```python F = [[1, 1], [0, 1]] s.X += F @ s.X s.store(t=1) ``` ## Requirements - 3.8 <= Python < 3.13 - Required packages are listed in [requirements.txt](requirements.txt) --- ## Installation For detailed instructions on installing c4dynamics, including setup for virtual environments, Python version requirements, and troubleshooting, refer to the [c4dynamics setup guide](https://github.com/c4dynamics/c4dynamics/blob/main/docs/source/tutorials/setup_guide.ipynb). * [PIP](https://pypi.org/project/c4dynamics/) ``` >>> pip install c4dynamics ``` * [GitHub](https://github.com/c4dynamics/c4dynamics) To run the latest GitHub version, download the repo and install required packages: ``` >>> pip install -r requirements.txt ``` --- ## Documentation 📘 https://c4dynamics.github.io/c4dynamics/ * concepts * API * examples * tutorials --- ## Contributing This is not just a library. It’s a shared way of building systems. * build examples * improve structure * explore new systems --- ## Support If you encounter problems, have questions, or would like to suggest improvements, please open an Issue in this repository. --- > **New system. Same workflow.** ---