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Open weightsHugging Face/10 trustVerified
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LeRobot

The open toolkit that became the standard stack for robot learning.

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About

LeRobot is Hugging Face's open-source Python library for real-world robotics, covering data collection, dataset storage, policy training, and deployment in one framework. Its standardized dataset format replaced lab-specific pipelines and turned the LeRobot Hub into the largest collection of real-robot datasets, reportedly passing 58,000 by mid-2026. It works with affordable hardware like the $100 SO-100 arm and plays well with simulators for those without robots. It is a toolkit and ecosystem rather than a single model, so you still need to pick or train policies yourself, and the field moves fast enough that parts of the stack keep changing.

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

Not disclosed

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

robot learningimitation learningrobotics researchmanipulation policiesrobotics education

Trust score — 9/10

/10 trustVerified

Scored 9/10 (verified tier, metrics-v1). Evidence: Launched May 2024 by Hugging Face; 12k+ GitHub stars within a year; LeRobot Hub reportedly passed 58,000 real-robot datasets by mid-2026; Apache-2.0; standardized format adopted across the robot-learning community; Toolkit plus ecosystem, not a single model; fast-moving stack. License: Apache-2.0 (Hugging Face open-source library)..

How the trust score is built

Full methodology →
Adoption · stars/downloads, log-scaled vs peers
9.0/10
Maintenance · recency, releases, issue load
9.0/10
Openness · license + docs
9.0/10
Manual review · sanity read + red-flag check
8.0/10
  • · Launched May 2024 by Hugging Face; 12k+ GitHub stars within a year
  • · LeRobot Hub reportedly passed 58,000 real-robot datasets by mid-2026
  • · Apache-2.0; standardized format adopted across the robot-learning community
  • · Toolkit plus ecosystem, not a single model; fast-moving stack

Sources