Gymnasium
A library for developing and comparing reinforcement learning algorithms.
Pricing
Free tier
Flat rate
Adoption
↗RisingLicense
Open Source
Data freshness
Verified · Jul 16, 2026Overview
What is Gymnasium?
Gymnasium is a successor to OpenAI Gym, providing a framework for creating environments to test and compare reinforcement learning algorithms. It's essential for researchers and developers working on AI-driven decision-making systems.
Key differentiator
“Gymnasium offers a community-driven, improved version of OpenAI Gym, focusing on robustness and extensibility in reinforcement learning environments.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Core documentation focuses on basic usage, lacks detailed guides for complex scenarios
Not optimized for real-time or high-frequency reinforcement learning tasks
Fit analysis
Who is it for?
✓ Best for
Academics and researchers who need a robust framework for testing RL algorithms.
Developers working on projects that require reinforcement learning environments.
✕ Not a fit for
Projects requiring real-time interaction with physical systems (Gymnasium is more suited for simulation).
Applications where the overhead of setting up an environment outweighs the benefits.
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Alternatives
Works well with
Next step
Get Started with Gymnasium
Step-by-step setup guide with code examples and common gotchas.