{"library":"missingpy","type":"library","category":null,"description":"MissingPy is a Python library providing tools for missing data imputation, offering an API consistent with scikit-learn. It primarily supports k-Nearest Neighbors (KNNImputer) and Random Forest-based (MissForest) imputation algorithms. The current version is 0.2.0, released in December 2018. Due to infrequent updates since its last release and limited recent activity on its GitHub repository, the library is considered to be in a maintenance state, with no active development or new releases anticipated.","language":"python","status":"maintenance","version":"0.2.0","tags":["data imputation","missing data","machine learning","scikit-learn-compatible"],"install":[{"cmd":"pip install missingpy","imports":["from missingpy import KNNImputer"]}],"homepage":null,"github":"https://github.com/epsilon-machine/missingpy","docs":null,"changelog":null,"pypi":"https://pypi.org/project/missingpy/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":1.6,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/missingpy/compatibility"},"provenance":{"verified_status":"import_fail","verified_at":"Fri Jul 03","last_verified":"Fri Jul 03","next_check":"Fri Jul 10","install_tag":null}}