gym-pybullet-drones

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For research work with symbolic dynamics and constraints, also try safe-control-gym > For GPU-accelerated, differentiable, JAX-based simulation, also try crazyflow > For production-grade deployment of ROS2 + PX4/ArduPilot + YOLO/LiDAR, use aerial-autonomy-stack

This is a minimalist refactoring of the original gym-pybullet-drones repository, designed for compatibility with gymnasium, stable-baselines3 2.0, and betaflight/crazyflie-firmware SITL.

NEWS: gym-pybullet-drones was featured in GitHub's Maintainer Spotlight 2026

NOTE: if you want to access the original codebase, presented at IROS in 2021, please git checkout [paper|master]

Tested on Intel x64/Ubuntu 22.04 and Apple Silicon/macOS…