Home Projects PythonRobotics
PythonRobotics
Python

PythonRobotics

Python sample codes and textbook for robotics algorithms.

by AtsushiSakai · GitHub
Top 5% most starred in the catalogue
Stars
Forks
Created
Last commit
Category
Language
algorithmanimationautonomous-drivingPython
View on GitHub
In plain words

Explore sample codes and a textbook for various robotics algorithms and techniques.

From the README

Install
git clone https://github.com/AtsushiSakai/PythonRobotics.git

Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
PythonRobotics — GitHub preview card
📈 Star history
30.1k30.0k
2026-07-152026-08-31
📈 Track PythonRobotics

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

Python sample codes and textbook for robotics algorithms.

PythonRobotics has 30.1k stars on GitHub. It has been forked 7.4k times. PythonRobotics is written mainly in Python. It has been in active development since 2016. Its main topics are algorithm, animation, autonomous-driving, autonomous-navigation.

Frequently asked questions

What is PythonRobotics?

Python sample codes and textbook for robotics algorithms.

Is PythonRobotics open source?

PythonRobotics is an open-source project.

Is PythonRobotics free?

Yes. PythonRobotics is free and open source — you can use, modify and self-host it.

What language is PythonRobotics written in?

PythonRobotics is written mainly in Python.

🏅 Maintainer of this project?
olud.ai badge — PythonRobotics

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=atsushisakai-pythonrobotics)](https://olud.ai/project/atsushisakai-pythonrobotics.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.