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mujocolab
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mujocolab/mjlab

Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research

Python ◇ isaaclab Apache-2.0
★3.3KSTARS
⑂577FORKS
!71ISSUES
🏆#3,757GLOBAL RANK
🔥4DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

mjlab is mjlab is an open-source project written in Python: Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), mujocolab/mjlab has accumulated 3,308 GitHub stars and 577 forks. It is written in Python, licensed under Apache-2.0, and ranks #3,757 globally. It is actively maintained with the latest commit recorded on Nov 1, 2026.”
Repository mujocolab/mjlab ↗
Primary Category isaaclab
Language & Stack Python
Software License Apache-2.0
Community Traction ★ 3.3K stars · ⑂ 577 forks · #3,757 globally
Maintenance ● Active (Last commit: Nov 1, 2026) · 71 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 97/100 · Grade A+
✅
Is mjlab actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, mjlab is actively maintained. Continuous telemetry recorded the last code commit on Nov 1, 2026 (4 days ago). Supported by 3,308 stars and 577 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 1, 2026
4 days since last push
Issue Backlog
71 Open Issues
Healthy Issue Cadence
Community Backing
577 Forks
3.3K Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for mujocolab/mjlab
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Momentum

+83

STARS · LAST 30 DAYS

3

PER DAY

#564

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+21+83+270
Per day333
Forks gained+3+12+29

mjlab gained 83 stars in the last 30 days, about 3 a day, and now has 3.3K. It is about 1 year old and has averaged roughly 3.3K stars a year. It ranks #564 among Python repositories and #3,757 across all languages on GitHubRepo.

Trending Record

mjlab has maintained a continuous presence across global trending indexes, peaking at #8178. Below is the 30-day activity profile:

💡 Overview

mjlab is an open-source project written in Python: Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research.

Engineered for speed, consistency, and developer ease, it solves common hurdles in isaaclab, mujoco, mujoco-warp. 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 Python 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
$ pip install mjlab

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

mjlab coordinates its core functionality through a modular Python 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 mjlab into Python 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 mjlab using your package manager: `pip install mjlab`

2

Initialize your project workspace or configuration file for mjlab.

3

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

4

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

👍 Strengths

Active community backing with 3,308 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Python 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 Python 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 Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

mujocolab/mjlab is currently ranked #3,757 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
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#3,753 taishi-i/awesome-ChatGPT-repositories Python ★ 3.3K Compare ↗
#3,754 composer/semver PHP ★ 3.3K Compare ↗
#3,754 coreruleset/coreruleset Python ★ 3.3K Compare ↗
#3,754 PeerDB-io/peerdb Go ★ 3.3K Compare ↗
#3,757 mujocolab/mjlab This Project Python ★ 3.3K
#3,757 Smithay/smithay Rust ★ 3.3K Compare ↗
#3,759 apache/avro Java ★ 3.3K Compare ↗
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Frequently Asked Questions

What does mjlab do? +

Isaac Lab API, powered by MuJoCo-Warp, for RL and robotics research

Is mjlab actively maintained in 2026? +

Yes, mjlab is actively maintained. The latest code push was recorded on Nov 1, 2026 (4 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 3,308 stars and 71 open issues.

What language is mjlab written in? +

The primary language is Python. Topics include: isaaclab, mujoco, mujoco-warp, reinforcement-learning, robotics-simulation.

How many stars does mjlab have? +

mjlab has 3,308 stars and 577 forks on GitHub.

How does mjlab rank among GitHub repositories? +

With 3,308 stars, mujocolab/mjlab is ranked #3,757 globally across all repositories tracked on GitHubRepo and #564 among Python projects.

What license is mjlab distributed under? +

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

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