MuJoCo

Health v2 · maintenance only

Adoption not part of the score

14680 stars · 1698 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

MuJoCo (Multi-Joint dynamics with Contact) is a general-purpose physics engine for fast and accurate simulation of articulated structures interacting with their environment. It provides a C API, Python bindings, an interactive OpenGL viewer, and a GPU-accelerated variant (MuJoCo Warp), maintained by Google DeepMind.

Use cases

• simulate robot dynamics with contact for research
• train reinforcement learning agents in physics environments
• simulate biomechanics and human motion
• render physics-based animation for graphics
• run fast GPU-accelerated physics simulation with MuJoCo Warp
• build simulation models from XML with the built-in compiler
• interactively inspect and debug models in the simulate viewer

When to choose

• you need fast, accurate contact-rich dynamics for robotics or RL research
• you want a permissively licensed (Apache-2.0) physics engine with Python bindings
• you need GPU-accelerated batch simulation via MuJoCo Warp
• you work in biomechanics, animation, or machine learning requiring articulated-body simulation

When to avoid

• you need soft-body or fluid simulation as a primary feature
• you want a full game-engine with asset pipelines and editing tools out of the box
• you need multiplayer or networked physics out of the box

Facets

library · maturity active

simulation graphics machine-learning sdk robotics simulation machine-learning graphics cross-platform cpp python physics-engine contact-dynamics articulated-bodies reinforcement-learning biomechanics cuda unity-plugin xml-model-compiler game-development gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="google-deepmind/mujoco")