google-deepmind

    google-deepmind/mujoco

    Multi-Joint dynamics with Contact. A general purpose physics simulator.

    17.3K stars
    2.1K forks
    142 GitHub watchers
    Updated Nov 11, 2026
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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    5 releases in the last 90 days, the latest 4 days ago, with 176 contributors on GitHub.

    Use Cases & Benefits

    • Simulates multi-joint dynamics with contact for articulated structures in a fast and accurate physics engine.
    • Offers high-performance simulation with low-level data structures and extensive utility functions for physics computations.
    • Use for robotics research requiring precise modeling of robot-environment interactions and control algorithms.
    • Use for biomechanics studies to simulate human or animal movement with realistic joint and contact dynamics.
    • Use for developing and testing machine learning models that rely on differentiable physics and simulation feedback.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    Apache 2.0

    Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.

    Community files

    • README: present
    • Contributing guide: present

    Watch-outs

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    From the README

    MuJoCo stands for Multi-Joint dynamics with Contact. It is a general purpose physics engine that aims to facilitate research and development in robotics, biomechanics, graphics and animation, machine learning, and other areas which demand fast and accurate simulation of articulated structures interacting with their environment.

    This repository is maintained by Google DeepMind.

    MuJoCo has a C API and is intended for researchers and developers. The runtime simulation module is tuned to maximize performance and operates on low-level data structures that are preallocated by the built-in XML compiler. The library includes interactive visualization in native desktop windows and web browsers. MuJoCo further exposes a large number of utility functions for computing physics-related quantities.

    We also provide Python bindings and a plug-in for the Unity game engine.

    MuJoCo's documentation can be found at mujoco.readthedocs.io. Upcoming features due for the next release can be found in the changelog in the "latest" branch.

    Excerpt from the google-deepmind/mujoco README on GitHub (Apache-2.0 license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Nov 10: +491Nov 11: +444

    +935 stars over 2 days across 3 snapshot days; best day +491 on Nov 10.

    Forks

    2.1K+194

    Open issues

    333+23

    Compared with peers in Developer Tools

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth

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