openai/gym

Health v2 · maintenance only

Flags: archived no_license

Adoption not part of the score

37251 stars · 8682 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Gym is a Python toolkit for developing and comparing reinforcement learning algorithms via a standard API between learning algorithms and environments, with a standard set of environments like CartPole and Atari. It is now deprecated: maintenance moved to Gymnasium, a drop-in replacement, and Gym receives no further updates.

Use cases

• train reinforcement learning agents on standard environments
• benchmark RL algorithms against a common API
• simulate control tasks like CartPole for RL research
• build custom RL environments with a standard interface
• learn reinforcement learning with classic toy environments

When to choose

• maintaining legacy code that already depends on the gym API
• reading older RL tutorials or papers that use gym

When to avoid

• starting a new reinforcement learning project (use Gymnasium instead)
• needing bug fixes or new environment features
• requiring official Windows support

Facets

library · maturity maintenance

machine-learning reinforcement-learning simulation reinforcement-learning machine-learning artificial-intelligence simulation python reinforcement-learning environment-api deprecated gymnasium-successor benchmarking-environments linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="openai/gym")