# autorope/donkeycar

Open source hardware and software platform to build a small scale self driving car.

Repository: https://github.com/autorope/donkeycar
Canonical: https://ross.abutalabs.com/products/donkeycar
Homepage: http://www.donkeycar.com
Language: Python
License: MIT
License Family: permissive
Topics: self-driving-car, raspberry-pi, tensorflow, keras, python, cv2, vision, donkeycar, jetson-nano
Last push: 2026-08-22T21:43:25+00:00

## Health v2 (maintenance only)
Score: 88/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 67, longevity 100
- inputs: {"age_days": 3553, "days_push": 11, "days_rel": 11, "gap_med": 190.5, "n_releases_24m": 3}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3495, forks 1364 (observed 2026-08-28T04:08:07.304416+00:00)

## What it is
Donkeycar is an open-source Python library and hardware platform for building small-scale self-driving RC cars with Raspberry Pi or Jetson boards. It includes a simulator, GUI, and training pipelines for neural-network autopilots aimed at hobbyists and students.

## Use cases
- build a small scale self driving car
- train a neural network autopilot for an RC car
- learn autonomous driving with a simulator
- teach students self-driving technology
- compete in DIY Robocars races
- experiment with computer vision and GPS path following on a robot

## When to choose
- you want a beginner-friendly, well-documented DIY autonomous car platform
- you want to experiment with autopilots, CV, and GPS on cheap hardware
- you need a simulator to practice before building hardware

## When to avoid
- you need production-grade autonomous vehicle software
- you want a full-size or high-speed robotics platform
- you don't want to assemble any hardware

## Facets
- artifact type: library
- maturity: active
- function: machine-learning, computer-vision, deep-learning, robotics
- domain: autonomous-vehicles, robotics, education, machine-learning
- platform: python, embedded
- tags: self-driving-car, raspberry-pi, rc-car, simulator, hobby-robotics, tensorflow, pytorch, linux

## Member repositories
- autorope/donkeycar (main) score 88

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:07.304416+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 2026-08-29T18:35:54.455061+00:00, confidence not recorded.
  - readme: https://github.com/autorope/donkeycar (fetched 2026-08-28T04:08:07.304416+00:00, sha fa966c84d3fb)
  - homepage: http://www.donkeycar.com (fetched 2026-08-29T09:30:19.656191+00:00, sha fc7a44c82926)
  - site_page: https://www.diyrobocars.com/about (fetched 2026-08-29T09:30:19.658921+00:00, sha 6702ba57cfd9)
  - site_page: https://diyrobocars.com/2020/10/31/getting-started-with-robocars (fetched 2026-08-29T09:30:19.661564+00:00, sha 42ad7b7c0ed4)
  - site_page: https://www.diyrobocars.com/2025/06/28/tips-for-installing-donkeycar-on-the-waveshare-piracer-pro (fetched 2026-08-29T09:30:19.663447+00:00, sha 1fa3450efcf5)
  - site_page: https://www.diyrobocars.com/2020/10/31/getting-started-with-robocars (fetched 2026-08-29T09:30:19.665622+00:00, sha 42ad7b7c0ed4)
  - registry_pypi: https://pypi.org/pypi/donkeycar/json (fetched 2026-08-29T09:30:19.667527+00:00, sha c110864f507e)
- Data as of 2026-08-30T08:39:29.467469+00:00.