PyFlyt
- Software
- Drones and boats
- Simulator
PyFlyt is a UAV flight simulator for testing reinforcement learning algorithms on drones and fixed-wing aircraft. It ships with Gymnasium and PettingZoo environments.
Source on GitHub: github.com/jjshoots/PyFlyt (opens in a new tab). Facts read at commit 9095d41 (opens in a new tab).
Licenses
- Code
- MIT (opens in a new tab)
Read by Robotheca from LICENSE.txt (opens in a new tab) (MIT) at commit 9095d41 (opens in a new tab), on 16 Oct 2026.
- Commercial use
- Yes
What it does
- Provides Gymnasium environments, for example QuadX-Hover, that can be created with gymnasium.make.
- Provides PettingZoo multi-agent environments, such as a fixed-wing dogfight environment.
- Targets reinforcement learning research on UAVs and is still under development.
- Installed from pip with numpy and wheel installed first so pybullet is built with numpy support.
- Has official documentation covering its Gymnasium and PettingZoo environments.
Written by Robotheca from the project's README (opens in a new tab) at commit 9095d41.
Getting started
- Difficulty
- Intermediate
- How to start
- The project's website (opens in a new tab)
Maintenance
- Status
- Maintained: a commit in the last 12 months
- Newest commit
- 6 Apr 2026 on master
- Latest release
- 0.30.0 (1 Mar 2025)
Checked on GitHub on 16 Oct 2026.
Links
Robots that can run it
No robot on Robotheca is linked to it yet. Links come from a robot's robot.yaml, from its dependency files read as text, or from Robotheca's editors.
Robotheca lists software as a reference: nothing is hosted or run here, and every fact links to where it was read.