Farama-Foundation/PettingZoo
A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities
Star History
Momentum
+88
STARS · LAST 30 DAYS
3
PER DAY
#204
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +21 | +88 | +270 |
| Per day | 3 | 3 | 3 |
| Forks gained | +3 | +11 | +27 |
PettingZoo gained 88 stars in the last 30 days, about 3 a day, and now has 3.5K. It is about 7 years old and has averaged roughly 503 stars a year. It ranks #204 among Python repositories and #1,357 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#1879
BEST RANK
Sep 28, 2026
FIRST APPEARANCE
Active
STATUS TODAY
PettingZoo has maintained a continuous presence across global trending indexes, peaking at #1879. Below is the 30-day activity profile:
💡 Overview
PettingZoo is an open-source project written in Python: A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities.
Engineered for speed, consistency, and developer ease, it solves common hurdles in api, gymnasium, multi-agent-reinforcement-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 PettingZoo⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
PettingZoo 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 PettingZoo.
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 PettingZoo using your package manager: `pip install PettingZoo`
Initialize your project workspace or configuration file for PettingZoo.
Import PettingZoo into your codebase or invoke it directly from your terminal.
Execute your test suite or run `PettingZoo --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
Farama-Foundation/PettingZoo is currently ranked #1,357 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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|---|---|---|---|---|
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| #1,356 | mne-tools/mne-python | Python | ★ 3.5K | Compare ↗ |
| #1,357 | Farama-Foundation/PettingZoo This Project | Python | ★ 3.5K | |
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Frequently Asked Questions
What does PettingZoo do? +
A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities
What language is PettingZoo written in? +
The primary language is Python. Topics include: api, gymnasium, multi-agent-reinforcement-learning, multiagent-reinforcement-learning, reinforcement-learning.
Is PettingZoo actively maintained? +
Yes, the last recorded push was on Sep 28, 2026 with 51 open issues being tracked.
How many stars does PettingZoo have? +
PettingZoo has 3,523 stars and 532 forks on GitHub.
How does PettingZoo rank among GitHub repositories? +
With 3,523 stars, Farama-Foundation/PettingZoo is ranked #1,357 globally across all repositories tracked on GitHubRepo and #204 among Python projects.
What license is PettingZoo distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
