{"library":"pot","type":"library","category":null,"description":"POT (Python Optimal Transport) is a comprehensive Python library offering various solvers for optimal transport problems. It provides efficient implementations for classic optimal transport, Wasserstein distances, Sinkhorn algorithm, Gromov-Wasserstein, and more, including recent extensions like unbalanced OT and GMM-OT. Currently at version 0.9.6.post1, the library sees frequent minor releases, often introducing new features, solvers, and bug fixes.","language":"python","status":"active","version":"0.9.6.post1","tags":["optimal transport","wasserstein distance","machine learning","statistics","geometric deep learning"],"install":[{"cmd":"pip install pot","imports":["import ot"]}],"homepage":null,"github":"https://github.com/PythonOT/POT","docs":null,"changelog":null,"pypi":"https://pypi.org/project/pot/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":7.6,"avg_import_s":1.43,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/pot/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}