panda-gym provides robotic manipulation environments simulating the Franka Emika Panda robot arm. It is built on the gymnasium API and PyBullet physics engine, exposing standard RL interfaces (reset, step, action_space). The environments are designed for training and evaluating reinforcement learning agents on tasks like reaching, pushing, sliding, and pick-and-place.