Gymnasium vs
GazeboGymnasium vs Gazebo compared for 2026 — features, license, ease of use, performance and which one to choose. The standard interface for reinforcement learning vs Simulate a whole robot, sensors included.
Updated regularly · curated by OpenSourceAI.tech
| Spec | Gymnasium | Gazebo |
|---|---|---|
| Category | Robotics & embodied AI | Robotics & embodied AI |
| Type | RL environment API | Robot simulator |
| License | MIT | Apache-2.0 |
| Runs locally | Yes | Yes |
| Primary language | Python | C++ |
| Ease of use | Beginner | Intermediate |
| Best for | learning RL, or benchmarking an algorithm against a known baseline | testing a full robot stack, including cameras and lidar |
| GitHub stars | 12.2k | 1.4k |
| Criterion | Gymnasium | Gazebo |
|---|---|---|
| Popularity | 3.0 | 2.0 |
| Maintenance | 5.0 | 5.0 |
| Ease of use | 5.0 | 3.5 |
| Privacy | 5.0 | 5.0 |
| License freedom | 5.0 | 5.0 |
Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.
Gymnasium is the maintained successor to OpenAI Gym: one API that every RL algorithm and environment speaks.
GazeboGazebo simulates robots with their sensors and environment — the classic testing ground before deploying to real hardware.
Gymnasium is rL environment API, while Gazebo is robot simulator. Their licenses differ (MIT vs Apache-2.0), which matters if you ship a commercial product. Gymnasium leans more beginner-friendly, whereas Gazebo is more suited to intermediate users. In short, Gymnasium fits learning RL, or benchmarking an algorithm against a known baseline, and Gazebo fits testing a full robot stack, including cameras and lidar.
Choose Gymnasium for learning RL, or benchmarking an algorithm against a known baseline. Choose Gazebo for testing a full robot stack, including cameras and lidar.
There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.
Gymnasium is generally the easier of the two to get started with, while Gazebo rewards more setup with more control.
Gymnasium is free and open source (MIT), and Gazebo is free and open source (Apache-2.0). Neither charges for the core software.
Gymnasium: yes · Gazebo: yes. Both can be used without sending your data to a third-party cloud where their setup allows.
Choose Gymnasium for learning RL, or benchmarking an algorithm against a known baseline. Choose Gazebo for testing a full robot stack, including cameras and lidar.
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