C4DYNAMICS: The Python framework for state-space modeling and algorithm development
C4DYNAMICS: The Python framework for state-space modeling and algorithm development - Published in JOSS (2025)
Science Score: 87.0%
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Published in Journal of Open Source Software
Keywords
Repository
The Python framework for state-space modeling and algorithm development
Basic Info
- Host: GitHub
- Owner: C4dynamics
- License: mit
- Language: Python
- Default Branch: main
- Homepage: https://c4dynamics.github.io/c4dynamics/
- Size: 440 MB
Statistics
- Stars: 58
- Watchers: 6
- Forks: 13
- Open Issues: 11
- Releases: 0
Topics
Metadata Files
README.md
Tsipor Dynamics
Algorithms Engineering and Development
Tsipor (bird) Dynamics (c4dynamics) is the Python framework for state-space modeling and algorithm development.
Why c4dynamics?
State objects for easy modeling
Built-in functions for Kalman filters
Integrated sensors and object detection models
Out-of-the-box environments for reinforcement learning
Seamless integration with OpenCV & Open3D
Optimization for Monte Carlo simulations
c4dynamics is designed to
simplify the development of algorithms for dynamic systems,
using state space representations.
It offers engineers and researchers a systematic approach to model,
simulate, and control systems in fields like
robotics, aerospace, and navigation.
The framework introduces state objects, which are foundational
data structures that encapsulate state vectors and provide
the tools for managing data, simulating system behavior,
and analyzing results.
With integrated modules for sensors, detectors, and filters, c4dynamics accelerates algorithm development while maintaining flexibility and scalability.
Requirements
- 3.8 <= Python < 3.13
- Required packages are listed in 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.
```
pip install c4dynamics ```
To run the latest GitHub version, download the repo and install required packages:
```
pip install -r requirements.txt ```
Quickstart
Import c4dynamics: ```
import c4dynamics as c4d ```
Define state space object of two variables in the state space (y, vy) with initial conditions (change the state with your variables): ```
s = c4d.state(y = 1, vy = 0.5) ```
Multiply the state vector by a matrix and store:
```
F = [[1, 1],
[0, 1]]
s.X += F @ s.X
s.store(t = 1)
```
Print the state variables, the state vector, and the stored data:
```
print(s)
[ y vy ] s.X [2.5 1] s.data('y') ([0, 1], [1, 2.5]) ```
Support
If you encounter problems, have questions, or would like to suggest improvements, please open an Issue in this repository.
New in Block 2
Enhancements and modules in latest release:
- Complete state space objects mechanism
- Seeker and radar measurements
- Kalman filter and Extended Kalman filter
- YOLOv3 object detection API
- Datasets fetching to run examples
- Documentation
JOSS Publication
C4DYNAMICS: The Python framework for state-space modeling and algorithm development
Authors
Independent Researcher, Israel
Editor
Sophie Beck
Tags
dynamics state space sensors filters detectorsGitHub Events
Total
- Release event: 1
- Push event: 9
- Pull request event: 8
Last Year
- Release event: 1
- Push event: 9
- Pull request event: 8
Issues and Pull Requests
Last synced: 12 days ago
All Time
- Total issues: 23
- Total pull requests: 22
- Average time to close issues: 12 months
- Average time to close pull requests: about 1 month
- Total issue authors: 2
- Total pull request authors: 1
- Average comments per issue: 0.17
- Average comments per pull request: 0.05
- Merged pull requests: 18
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 1
- Pull requests: 18
- Average time to close issues: N/A
- Average time to close pull requests: 19 minutes
- Issue authors: 1
- Pull request authors: 1
- Average comments per issue: 0.0
- Average comments per pull request: 0.0
- Merged pull requests: 18
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- C4dynamics (22)
- hweifluids (1)
Pull Request Authors
- C4dynamics (22)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- pypi 446 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 23
- Total maintainers: 1
pypi.org: c4dynamics
Python framework for state-space modeling and algorithm development
- Documentation: https://c4dynamics.readthedocs.io/
-
Latest release: 2.3.2
published 15 days ago