{"library":"ale-py","type":"library","category":null,"description":"ale-py is the Python interface to the Arcade Learning Environment (ALE), a platform for AI research built on the Atari 2600 emulator Stella. It allows researchers to develop and test AI agents for Atari games, abstracting away emulation details. The library is currently at version 0.11.2, actively maintained by the Farama Foundation, and has a steady release cadence incorporating updates like Gymnasium integration and ROM packaging.","language":"python","status":"active","version":"0.11.2","tags":["reinforcement-learning","atari","gymnasium","emulator","ai-research","game-ai"],"last_verified":"Mon May 25","install":[{"cmd":"pip install ale-py","imports":["from ale_py import ALEInterface","from ale_py import roms","import gymnasium as gym\nimport ale_py\ngym.register_envs(ale_py)"]},{"cmd":"pip install \"gymnasium[atari]\"","imports":[]}],"homepage":null,"github":"https://github.com/Farama-Foundation/Arcade-Learning-Environment","docs":"https://ale.farama.org","changelog":"https://github.com/Farama-Foundation/Arcade-Learning-Environment/blob/master/CHANGELOG.md","pypi":"https://pypi.org/project/ale-py/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":4.1,"avg_import_s":0.55,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/ale-py/compatibility"}}