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LeRobot
Hugging Face open-source stack for embodied AI with unified data formats and training — great for imitation learning and VLA experiments.
PythonBeginnerUpdated 2026-07-28
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OpenPI (π0 / π0.5 stack)
Open-source inference and training stack around Physical Intelligence π-series policies (openpi).
Why: Practical open code path for π-family policies
Overview
OpenPI (π0 / π0.5 stack) is a curated project on Embodied AI Hub.
Open-source inference and training stack around Physical Intelligence π-series policies (openpi).
Why it matters: Practical open code path for π-family policies
Always verify install pins, licenses, and hardware requirements on the official site before production use.
Who it is for
Builders mapping open embodied stacks; researchers comparing SOTA baselines.
Key highlights
- Open-source inference and training stack around Physical Intelligence π-series policies (openpi).
- Type: project; tags: VLA, π0, 开源, 推理
- Hub recommended
When to use
- You need this category of open resource in your stack map
- You are shortlisting baselines before deep evaluation
When not to use
- License or hardware constraints block adoption
- You only need a closed commercial stack with vendor SLA
Getting started
- 1Open the official URL and read the README / model card.
- 2Check license and citation requirements.
- 3Run the smallest official example before scaling.
- 4Cross-link related hub resources for a full pipeline.
Caveats & pitfalls
- Hub cards are curated summaries — verify upstream docs.
- Stars and release names drift; treat metadata as approximate.
Content reviewed 2026-07-28