mujoco is by google-deepmind — not by us.
We indexed this project so people can find it. We are not selling it, we host no copy of the code, and we are not affiliated with or endorsed by its authors — get it from them.
Indexed Aug 1, 2026 · 14,405 stars at index time. Maintainers: claiming verifies your identity and unlocks a higher assurance tier. Removal requests are honored.
simulation · for humans & their agents
mujoco
unclaimed listingactively maintainedFreeApache-2.0
Multi-Joint dynamics with Contact. A general purpose physics simulator.
by Open Source Community · New publisher
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☆ Save**google-deepmind/mujoco** is an open-source project by google-deepmind: Multi-Joint dynamics with Contact. A general purpose physics simulator.. Indexed here so it can be found — not resold.
It is free. Get it from the upstream repository: https://github.com/google-deepmind/mujoco
From the project's own README (excerpt, reproduced for discovery under its Apache-2.0 license):
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 with a native GUI, rendered in OpenGL. 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.
Documentation
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.
Getting Started
There are two easy ways to get started with MuJoCo:
1. Run simulate on your machine. This video shows a screen capture of simulate, MuJoCo's native interactive viewer. Follow the steps described in the [Getting Started] section of the documentation to get simulate running on your machine.
2. Explore our online IPython notebooks. If you are a Python user, you might want to start with our tutorial notebooks running on Google Colab: • The introductory tutorial teaches MuJoCo basics: • The Model Editing tutorial shows how to create and edit models procedurally: • The rollout tutorial shows how to use the multithreaded rollout module: • The LQR tutorial synthesizes a linear-quadratic controller, balancing a humanoid on one…
Preview
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01Capabilities
Does
- + Programmatic API
Doesn’t
- No exclusions declared
02Requirements & stack
Depends on
No declared dependencies
Credentials needed
None declared
Stack
03Community
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04Trust Passport
Full passport →0/0 automated components pass. An automated score is never a security guarantee.
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- publisher identity Publisher status verified; 0 verification(s) on file
- malicious pattern scan No known malicious-behavior patterns detected in reviewed content
- capability contract All 0 observed capability reference(s) match the declared manifest
- agent safety scan No injection patterns in agent-readable content
- provenance No release signature or provenance attestation
- behavioral sandbox Not performed in this environment — requires the production isolated runner (docs/sandbox-requirements.md). No untrusted code is ever executed on the application host.
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05Versions
Full history →| Version | Channel | Released | Notes |
|---|---|---|---|
| 0.0.0 | stable | Aug 1, 2026 | Indexed listing — see the upstream repository for real release history. |