huggingface/lerobot
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning observed · 2026-08-28
Health v2 · maintenance only
92/100
- Activity 99
- Release rhythm 96
- Longevity 67
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: 28.5
- age_days: 950
- days_rel: 30
- days_push: 7
- n_releases_24m: 11
Adoption not part of the score
26949 stars · 5472 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
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
library · maturity active
machine-learning deep-learning robotics sdk cli data-science robotics machine-learning deep-learning artificial-intelligence python windows cli 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
10 sources
- readme: https://github.com/huggingface/lerobot · fetched 2026-08-28 · 6d8b7fcacd6e
- homepage: https://huggingface.co/docs/lerobot · fetched 2026-08-29 · c7f6a95cb533
- site_page: https://huggingface.co/docs · fetched 2026-08-29 · bdec26667b98
- site_page: https://huggingface.co/docs/lerobot/installation · fetched 2026-08-29 · d04798b53c4f
- site_page: https://huggingface.co/docs/lerobot/cheat-sheet · fetched 2026-08-29 · bbd39396b973
- site_page: https://huggingface.co/docs/lerobot/il_robots · fetched 2026-08-29 · 2b61be0dceb1
- site_page: https://huggingface.co/docs/lerobot/lelab · fetched 2026-08-29 · 184359afc565
- site_page: https://huggingface.co/docs/lerobot/bring_your_own_policies · fetched 2026-08-29 · bdba4e826dae
- site_page: https://huggingface.co/docs/lerobot/integrate_hardware · fetched 2026-08-29 · 572d5a744cc4
- registry_pypi: https://pypi.org/pypi/lerobot/json · fetched 2026-08-29 · 867d0904d376
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| huggingface/lerobot | main | 92 |
For agents
markdown · JSON · MCP: product_card(name="huggingface/lerobot")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem