google-deepmind/dm_control
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
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+118
STARS · LAST 30 DAYS
4
PER DAY
#294
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +28 | +118 | +360 |
| Per day | 4 | 4 | 4 |
| Forks gained | +4 | +15 | +38 |
dm_control gained 118 stars in the last 30 days, about 4 a day, and now has 4.7K. It is about 9 years old and has averaged roughly 523 stars a year. It ranks #294 among Python repositories and #1,927 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#3605
BEST RANK
Oct 5, 2026
FIRST APPEARANCE
Active
STATUS TODAY
dm_control has maintained a continuous presence across global trending indexes, peaking at #3605. Below is the 30-day activity profile:
💡 Overview
dm_control is an open-source project written in Python: Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Engineered for speed, consistency, and developer ease, it solves common hurdles in artificial-intelligence, deep-learning, machine-learning. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install dm_control⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
dm_control 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 dm_control 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
Install dm_control using your package manager: `pip install dm_control`
Initialize your project workspace or configuration file for dm_control.
Import dm_control into your codebase or invoke it directly from your terminal.
Execute your test suite or run `dm_control --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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
google-deepmind/dm_control is currently ranked #1,927 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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Frequently Asked Questions
What does dm_control do? +
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
What language is dm_control written in? +
The primary language is Python. Topics include: artificial-intelligence, deep-learning, machine-learning, mujoco, neural-networks.
Is dm_control actively maintained? +
Yes, the last recorded push was on Oct 5, 2026 with 139 open issues being tracked.
How many stars does dm_control have? +
dm_control has 4,706 stars and 768 forks on GitHub.
How does dm_control rank among GitHub repositories? +
With 4,706 stars, google-deepmind/dm_control is ranked #1,927 globally across all repositories tracked on GitHubRepo and #294 among Python projects.
What license is dm_control distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
