lerobot/main/en/contributing.md

How to contribute to 🤗 LeRobot

Everyone is welcome to contribute, and we value everybody's contribution. Code is not the only way to help the community. Answering questions, helping others, reaching out, and improving the documentation are immensely valuable.

Whichever way you choose to contribute, please be mindful to respect our code of conduct and our AI policy.

Ways to Contribute

You can contribute in many ways:

• Fixing issues: Resolve bugs or improve existing code.
• New features: Develop new features.
• Extend: Implement new models/policies, robots, or simulation environments and upload datasets to the Hugging Face Hub.
• Documentation: Improve examples, guides, and docstrings.
• Feedback: Submit tickets related to bugs or desired new features.

If you are unsure where to start, join our Discord Channel.

Development Setup

To contribute code, you need to set up a development environment.

1. Fork and Clone

Fork the repository on GitHub, then clone your fork:

git clone https://github.com/<your-handle>/lerobot.git
cd lerobot
git remote add upstream https://github.com/huggingface/lerobot.git

2. Environment Installation

Please follow our Installation Guide for the environment setup & installation from source.

Running Tests & Quality Checks

Code Style (Pre-commit)

Install pre-commit hooks to run checks automatically before you commit:

pre-commit install

To run checks manually on all files:

pre-commit run --all-files

Running Tests

We use pytest. First, ensure you have test artifacts by installing git-lfs:

git lfs install
git lfs pull

Run the full suite (this may require extras installed):

pytest -sv ./tests

Or run a specific test file during development:

pytest -sv tests/test_specific_feature.py

Submitting Issues & Pull Requests

Use the templates for required fields and examples.

• Issues: Follow the ticket template.
• Pull requests: Rebase on upstream/main, use a descriptive branch (don't work on main), run pre-commit and tests locally, and follow the PR template.

Community Review Policy: To help scale our efforts and foster a collaborative environment, we ask contributors to review at least one other person's open PR before their own receives attention. This shared responsibility multiplies our review capacity and helps everyone's code get merged faster!

Once you have submitted your PR and completed a peer review, a member of the LeRobot team will review your contribution.

Thank you for contributing to LeRobot!