{"library":"openunmix","type":"library","category":null,"description":"Open-Unmix is a PyTorch-based music source separation toolkit that provides pre-trained models and a flexible framework for separating audio into its constituent parts (vocals, drums, bass, other). The current version is 1.3.0, and the library is actively maintained with regular updates addressing bug fixes, performance improvements, and new model releases.","language":"python","status":"active","version":"1.3.0","tags":["audio","music","separation","pytorch","deep-learning","source-separation"],"install":[{"cmd":"pip install openunmix","imports":["from openunmix import separate_audio"]}],"homepage":"https://openunmix.readthedocs.io","github":"https://github.com/sigsep/open-unmix-pytorch","docs":null,"changelog":null,"pypi":"https://pypi.org/project/openunmix/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":40,"avg_install_s":70.7,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/openunmix/compatibility"},"provenance":{"verified_status":"import_fail","verified_at":"Fri Jul 03","last_verified":"Fri Jul 03","next_check":"Fri Jul 10","install_tag":null}}