{"library":"demucs","type":"library","category":null,"description":"Demucs (Deep Extractor for Music Sources) is a state-of-the-art open-source AI model for music source separation, developed by Meta AI Research. It separates audio into individual stems like vocals, drums, bass, and other instruments in the waveform domain. The current version, 4.0.1, features a Hybrid Transformer architecture. Demucs is actively maintained and regularly updated, offering high-quality separation capabilities for various applications in music production and audio analysis.","language":"python","status":"active","version":"4.0.1","tags":["audio","music","separation","AI","deep-learning","waveform","pytorch"],"install":[{"cmd":"pip install demucs","imports":["import demucs.separator"]},{"cmd":"pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118 && pip install demucs","imports":[]}],"homepage":null,"github":"https://github.com/facebookresearch/demucs","docs":null,"changelog":null,"pypi":"https://pypi.org/project/demucs/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":45,"avg_install_s":84.1,"avg_import_s":null,"wheel_type":"sdist"},"url":"https://checklist.day/v1/registry/demucs/compatibility"},"provenance":{"verified_status":"import_fail","verified_at":"Fri Jul 03","last_verified":"Fri Jul 03","next_check":"Fri Jul 10","install_tag":null}}