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google-deepmind
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google-deepmind/mujoco

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

C++ ◇ mujoco Apache-2.0
★15.4KSTARS
⑂1.8KFORKS
!306ISSUES
🏆#622GLOBAL RANK
🔥2DAYS TRENDING
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Momentum

+385

STARS · LAST 30 DAYS

13

PER DAY

#34

MOST-STARRED C++

Window7 days30 days90 days
Stars gained+91+385+1.2K
Per day131313
Forks gained+9+36+90

mujoco gained 385 stars in the last 30 days, about 13 a day, and now has 15.4K. It is about 5 years old and has averaged roughly 3.1K stars a year. It ranks #34 among C++ repositories and #622 across all languages on GitHubRepo.

Trending Record

mujoco has maintained a continuous presence across global trending indexes, peaking at #1779. Below is the 30-day activity profile:

💡 Overview

mujoco is an open-source project written in C++: Multi-Joint dynamics with Contact. A general purpose physics simulator.

Engineered for speed, consistency, and developer ease, it solves common hurdles in mujoco, physics, robotics. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in C++ for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ git clone https://github.com/google-deepmind/mujoco.git
cd mujoco

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

C++20 compliant compiler (GCC 11+, Clang 13+, MSVC)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

mujoco coordinates its core functionality through a modular C++ pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Production System Integration

Embed mujoco into C++ backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open Apache-2.0 license.

🚀 Getting Started

1

Install mujoco using your package manager: `git clone https://github.com/google-deepmind/mujoco.git`

2

Initialize your project workspace or configuration file for mujoco.

3

Import mujoco into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `mujoco --help` to verify successful setup.

👍 Strengths

Active community backing with 15,386 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in C++ for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with C++ and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

google-deepmind/mujoco is currently ranked #622 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#617 Homebrew/homebrew-core Ruby ★ 15.6K Compare ↗
#618 opensandbox-group/OpenSandbox Python ★ 15.5K Compare ↗
#619 fabric/fabric Python ★ 15.5K Compare ↗
#620 gojue/ecapture C ★ 15.5K Compare ↗
#621 eigent-ai/eigent TypeScript ★ 15.4K Compare ↗
#622 google-deepmind/mujoco This Project C++ ★ 15.4K
#622 seerge/g-helper C# ★ 15.4K Compare ↗
#624 redis/ioredis TypeScript ★ 15.3K Compare ↗
#625 open-metadata/OpenMetadata TypeScript ★ 15.3K Compare ↗
#626 mltframework/shotcut C++ ★ 15.3K Compare ↗
#627 yc-software/qm TypeScript ★ 15.3K Compare ↗

Frequently Asked Questions

What does mujoco do? +

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

What language is mujoco written in? +

The primary language is C++. Topics include: mujoco, physics, robotics.

Is mujoco actively maintained? +

Yes, the last recorded push was on Sep 29, 2026 with 306 open issues being tracked.

How many stars does mujoco have? +

mujoco has 15,386 stars and 1,790 forks on GitHub.

How does mujoco rank among GitHub repositories? +

With 15,386 stars, google-deepmind/mujoco is ranked #622 globally across all repositories tracked on GitHubRepo and #34 among C++ projects.

What license is mujoco distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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