{"library":"scikit-plot","type":"library","category":null,"description":"Scikit-plot is an intuitive Python library (v0.3.7) that extends scikit-learn objects with easy-to-use plotting functionality. It aims to simplify the visualization of machine learning models and metrics, such as confusion matrices, ROC curves, and learning curves, with minimal boilerplate code. The library has had infrequent releases, with the latest stable version published in August 2018.","language":"python","status":"maintenance","version":"0.3.7","tags":["scikit-learn","plotting","visualization","machine-learning","metrics","estimators","clustering","decomposition","data-science"],"install":[{"cmd":"pip install scikit-plot","imports":["import scikitplot as skplt"]}],"homepage":null,"github":"https://github.com/reiinakano/scikit-plot","docs":null,"changelog":null,"pypi":"https://pypi.org/project/scikit-plot/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":13.5,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/scikit-plot/compatibility"},"provenance":{"verified_status":"import_fail","verified_at":"Fri Jul 03","last_verified":"Fri Jul 03","next_check":"Fri Jul 10","install_tag":null}}