PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
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+347
STARS · LAST 30 DAYS
12
PER DAY
#157
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +84 | +347 | +1.1K |
| Per day | 12 | 12 | 12 |
| Forks gained | +11 | +44 | +109 |
stable-baselines3 gained 347 stars in the last 30 days, about 12 a day, and now has 13.9K. It is about 6 years old and has averaged roughly 2.3K stars a year. It ranks #157 among Python repositories and #965 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#4191
BEST RANK
Oct 13, 2026
FIRST APPEARANCE
Active
STATUS TODAY
stable-baselines3 has maintained a continuous presence across global trending indexes, peaking at #4191. Below is the 30-day activity profile:
💡 Overview
stable-baselines3 is an open-source project written in Python: PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms. .
Engineered for speed, consistency, and developer ease, it solves common hurdles in baselines, gsde, gym. 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 stable-baselines3⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
stable-baselines3 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
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with stable-baselines3.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install stable-baselines3 using your package manager: `pip install stable-baselines3`
Initialize your project workspace or configuration file for stable-baselines3.
Import stable-baselines3 into your codebase or invoke it directly from your terminal.
Execute your test suite or run `stable-baselines3 --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
DLR-RM/stable-baselines3 is currently ranked #965 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #960 | ethereum/EIPs | Python | ★ 14K | Compare ↗ |
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| #962 | rolldown/rolldown | Rust | ★ 14K | Compare ↗ |
| #963 | OpenNHP/opennhp | Go | ★ 13.9K | Compare ↗ |
| #964 | dask/dask | Python | ★ 13.9K | Compare ↗ |
| #965 | DLR-RM/stable-baselines3 This Project | Python | ★ 13.9K | |
| #966 | pinpoint-apm/pinpoint | Java | ★ 13.9K | Compare ↗ |
| #967 | Unleash/unleash | TypeScript | ★ 13.9K | Compare ↗ |
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| #969 | Kotlin/kotlinx.coroutines | Kotlin | ★ 13.8K | Compare ↗ |
| #970 | prometheus/node_exporter | Go | ★ 13.8K | Compare ↗ |
Frequently Asked Questions
What does stable-baselines3 do? +
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
What language is stable-baselines3 written in? +
The primary language is Python. Topics include: baselines, gsde, gym, machine-learning, openai.
Is stable-baselines3 actively maintained? +
Yes, the last recorded push was on Oct 13, 2026 with 91 open issues being tracked.
How many stars does stable-baselines3 have? +
stable-baselines3 has 13,887 stars and 2,177 forks on GitHub.
How does stable-baselines3 rank among GitHub repositories? +
With 13,887 stars, DLR-RM/stable-baselines3 is ranked #965 globally across all repositories tracked on GitHubRepo and #157 among Python projects.
What license is stable-baselines3 distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
