{"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"],"last_verified":"Fri May 22","install":[{"cmd":"pip install demucs","imports":["import demucs.api\nseparator = demucs.api.Separator()","from demucs import pretrained\nfrom demucs.apply import apply_model"]},{"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":84.3,"avg_import_s":null,"wheel_type":"sdist"},"url":"https://checklist.day/v1/registry/demucs/compatibility"}}