{"library":"fairlearn","type":"library","category":null,"description":"Fairlearn is a Python package designed to help data scientists and developers assess and improve the fairness of machine learning models. It provides algorithms for fairness assessment and mitigation, integrating seamlessly with scikit-learn pipelines. The current version is 0.13.0, and it maintains an active release cadence with minor updates and improvements released every few months.","language":"python","status":"active","version":"0.13.0","tags":["machine learning","fairness","responsible AI","ethics","scikit-learn","model assessment","bias mitigation"],"install":[{"cmd":"pip install fairlearn","imports":["from fairlearn.metrics import MetricFrame","from fairlearn.reductions import GridSearch","from fairlearn.postprocessing import ThresholdOptimizer","from fairlearn.preprocessing import CorrelationRemover","from fairlearn.datasets import fetch_adult"]}],"homepage":"https://fairlearn.org","github":"https://github.com/fairlearn/fairlearn","docs":null,"changelog":null,"pypi":"https://pypi.org/project/fairlearn/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":14,"avg_import_s":4.02,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/fairlearn/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}