Stable Baselines3 (SB3)
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Overview
HEALTH SCORE
Excellent*
Partial score (2/3 categories)
56out of 65
Strong maintainer coverage. Development cadence is the only remaining gap. Security & Supply Chain is unavailable, so weights were redistributed.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Excellent*(56/65)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 1 day.
Bus factor
4 active maintainers currently have merge rights.
Organization Diversity
Contributors span 227 organizations.
Project Achievements
Leaderboards
About
Stable Baselines3 (SB3) is a reliable implementation of reinforcement learning algorithms in PyTorch. It provides a set of high-quality implementations of state-of-the-art reinforcement learning algorithms, including PPO, A2C, DQN, and SAC. The library focuses on providing clean, documented, and reliable implementations for research and development in reinforcement learning.
First commit
Software value
$758K
Tags
baselines
gsde
gym
machine-learning
openai
python
pytorch
reinforcement-learning
reinforcement-learning-algorithms
robotics
sb3
sde
stable-baselines
toolbox
License(s)
MIT
Data sources
Git
GitHub