# huggingface/lerobot

🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

Repository: https://github.com/huggingface/lerobot
Canonical: https://ross.abutalabs.com/products/lerobot
Homepage: https://huggingface.co/docs/lerobot
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2026-08-26T03:51:51+00:00

## Health v2 (maintenance only)
Score: 92/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 96, longevity 67
- inputs: {"age_days": 950, "days_push": 7, "days_rel": 30, "gap_med": 28.5, "n_releases_24m": 11}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 26949, forks 5472 (observed 2026-08-28T04:11:47.216550+00:00)

## What it is
LeRobot is Hugging Face's PyTorch library for real-world robotics, providing a hardware-agnostic Python interface for controlling robots, a standardized dataset format (LeRobotDataset), and state-of-the-art imitation-learning and vision-language-action policies. It includes CLI tools and a GUI (LeLab) covering the full workflow: teleoperate, record, train, and deploy policies on real robots.

## Use cases
- train imitation learning policies for real robot arms
- record and share robot demonstration datasets
- control low-cost robot arms like SO-100 from Python
- deploy vision-language-action models like pi0 on real robots
- teleoperate a robot with a leader arm, keyboard, or gamepad
- integrate custom robot hardware into a standard control interface
- stream and visualize large robotics datasets from the Hugging Face Hub

## When to choose
- you want an end-to-end open-source stack for real-world robot learning
- you use supported hardware like SO-ARM101, Koch, LeKiwi, or Reachy
- you need a standardized dataset format for robot demonstrations
- you want pretrained policies (ACT, pi0, SmolVLA) ready to train and deploy
- you're a beginner looking for a low-barrier entry into physical AI

## When to avoid
- you only need simulation-only robotics without real hardware
- your robot uses unsupported motors or communication protocols and you can't implement the Robot interface
- you need hard real-time control guarantees
- you require macOS support for video decoding via TorchCodec, which is unavailable there

## Facets
- artifact type: library
- maturity: active
- function: machine-learning, deep-learning, robotics, sdk, cli, data-science
- domain: robotics, machine-learning, deep-learning, artificial-intelligence
- platform: python, windows, cli
- tags: robot-learning, imitation-learning, teleoperation, vision-language-action-models, robot-datasets, pytorch, hardware-agnostic, policy-training, huggingface-hub, real-world-robotics, datasets, linux, macos, gpu

## Member repositories
- huggingface/lerobot (main) score 92

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:47.216550+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 2026-08-29T16:54:36.728834+00:00, confidence not recorded.
  - readme: https://github.com/huggingface/lerobot (fetched 2026-08-28T04:11:47.216550+00:00, sha 6d8b7fcacd6e)
  - homepage: https://huggingface.co/docs/lerobot (fetched 2026-08-29T07:52:02.464335+00:00, sha c7f6a95cb533)
  - site_page: https://huggingface.co/docs (fetched 2026-08-29T07:52:02.473967+00:00, sha bdec26667b98)
  - site_page: https://huggingface.co/docs/lerobot/installation (fetched 2026-08-29T07:52:02.477985+00:00, sha d04798b53c4f)
  - site_page: https://huggingface.co/docs/lerobot/cheat-sheet (fetched 2026-08-29T07:52:02.479842+00:00, sha bbd39396b973)
  - site_page: https://huggingface.co/docs/lerobot/il_robots (fetched 2026-08-29T07:52:02.481679+00:00, sha 2b61be0dceb1)
  - site_page: https://huggingface.co/docs/lerobot/lelab (fetched 2026-08-29T07:52:02.483918+00:00, sha 184359afc565)
  - site_page: https://huggingface.co/docs/lerobot/bring_your_own_policies (fetched 2026-08-29T07:52:02.485607+00:00, sha bdba4e826dae)
  - site_page: https://huggingface.co/docs/lerobot/integrate_hardware (fetched 2026-08-29T07:52:02.488058+00:00, sha 572d5a744cc4)
  - registry_pypi: https://pypi.org/pypi/lerobot/json (fetched 2026-08-29T07:52:02.490108+00:00, sha 867d0904d376)
- Data as of 2026-08-30T08:39:29.467469+00:00.