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Gymnasium

  • Software
  • Humanoids and robot learning
  • Library

Gymnasium is a Python library offering a standard API for reinforcement learning environments, plus a set of environments that follow that API. It is a maintained fork of OpenAI's Gym.

Made by Farama Foundation.

Source on GitHub: github.com/Farama-Foundation/Gymnasium (opens in a new tab). Facts read at commit 57c1610 (opens in a new tab).

Licenses

Code
MIT (opens in a new tab)

Read by Robotheca from LICENSE (opens in a new tab) (MIT) at commit 57c1610 (opens in a new tab), on 16 Oct 2026.

Commercial use
Yes

What it does

  • Provides a standard interface between reinforcement learning algorithms and environments, so they can be compared on the same tasks.
  • Includes families of environments: Classic Control, Box2D, Toy Text, MuJoCo and Atari, plus third-party environments.
  • Environments are created with gym.make and interacted with through reset and step, returning observations, rewards and termination flags.
  • Base install is done with pip; family-specific dependencies such as atari or all are installed as optional extras.
  • Environment names carry version suffixes such as -v0, which are increased when changes could affect learning results.
  • Related projects from the same team include CleanRL and PettingZoo, a multi-agent version.

Written by Robotheca from the project's README (opens in a new tab) at commit 57c1610.

Getting started

Difficulty
Beginner

Maintenance

Status
Active: a commit in the last 90 days
Newest commit
14 Oct 2026 on main
Latest release
v1.4.0 (5 Oct 2026)

Checked on GitHub on 16 Oct 2026.

Links

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    • Works with AI
    Level
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    Buildability
    60/100
    Buildable with some effort
    Cost
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    Found by Robotheca in pyproject.toml (opens in a new tab)

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    Advanced
    Buildability
    65/100
    Buildable with some effort
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    Found by Robotheca in pyproject.toml (opens in a new tab)

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    Buildable with some effort
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    Found by Robotheca in requirements.txt (opens in a new tab)

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    • Works with AI
    Level
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    Buildability
    65/100
    Buildable with some effort
    Cost
    $8≈ €7 (ECB rate, 16 Oct 2026)

    Found by Robotheca in requirements.txt (opens in a new tab)

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    • Works with AI
    Level
    Intermediate
    Buildability
    75/100
    Buildable with some effort
    Cost
    $2,230.61≈ €1,982 (ECB rate, 16 Oct 2026)

    Found by Robotheca in requirements.txt (opens in a new tab)

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    Level
    Advanced
    Buildability
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    Buildable with some effort
    Cost
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    Found by Robotheca in simulation/pyproject.toml (opens in a new tab)

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    • Works with AI
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    Buildability
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    Buildable with some effort
    Cost
    $60≈ €53 (ECB rate, 16 Oct 2026)

    Found by Robotheca in requirements.txt (opens in a new tab)

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    Cost
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    Found by Robotheca in pyproject.toml (opens in a new tab)

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    Quadruped

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    • Works with AI
    Level
    Advanced
    Buildability
    55/100
    Buildable with some effort
    Cost
    £250≈ €296 (ECB rate, 16 Oct 2026)

    Found by Robotheca in learning/requirements-rl.txt (opens in a new tab)

Robotheca lists software as a reference: nothing is hosted or run here, and every fact links to where it was read.