# AtsushiSakai/PythonRobotics

Python sample codes and textbook for robotics algorithms.

Repository: https://github.com/AtsushiSakai/PythonRobotics
Canonical: https://ross.abutalabs.com/products/pythonrobotics
Homepage: https://atsushisakai.github.io/PythonRobotics/
Language: Python
License: NOASSERTION
License Family: other
Topics: python, robotics, algorithm, path-planning, control, animation, localization, slam, cvxpy, ekf, autonomous-vehicles, autonomous-driving, mapping, autonomous-navigation, robot, hacktoberfest
Last push: 2026-08-24T20:02:57+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 35, longevity 100
- inputs: {"age_days": 3817, "days_push": 9, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 30385, forks 7395 (observed 2026-08-28T04:11:54.451050+00:00)

## What it is
A collection of Python sample code and an accompanying online textbook implementing robotics algorithms such as localization, mapping, SLAM, path planning, and path tracking. It serves as an educational reference with animated visualizations of each algorithm.

## Use cases
- learn robotics algorithms like SLAM and path planning
- find reference implementations of A*, RRT, or Dijkstra for robots
- understand extended Kalman filter localization with example code
- study path tracking controllers like Stanley or pure pursuit
- prototype autonomous driving trajectory planning algorithms
- teach a robotics course with runnable Python examples

## When to choose
- you want clear, visual, educational implementations of classic robotics algorithms
- you need reference code to compare against your own robotics implementation
- you are a student or researcher learning localization, SLAM, or planning

## When to avoid
- you need production-ready, performance-optimized robotics middleware
- you want a supported library with stable APIs rather than demo scripts
- you need hardware drivers or ROS integration out of the box

## Facets
- artifact type: learning-resource
- maturity: active
- function: simulation, machine-learning, math, data-visualization
- domain: robotics, autonomous-vehicles, education, simulation
- platform: python, cross-platform
- tags: path-planning, slam, localization, control, ekf, textbook, sample-code, autonomous-driving, algorithms

## Member repositories
- AtsushiSakai/PythonRobotics (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:54.451050+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T16:52:46.413185+00:00, confidence not recorded.
  - readme: https://github.com/AtsushiSakai/PythonRobotics (fetched 2026-08-28T04:11:54.451050+00:00, sha ab1afbb09cbe)
  - homepage: https://atsushisakai.github.io/PythonRobotics/ (fetched 2026-08-29T07:49:37.558567+00:00, sha d50cb0669bae)
- Data as of 2026-08-30T08:39:29.467469+00:00.