{"library":"scikit-learn","type":"library","category":null,"description":"Scikit-learn is a free and open-source machine learning library for Python, built on NumPy and SciPy. It provides a wide range of efficient tools for predictive data analysis, including algorithms for classification, regression, clustering, dimensionality reduction, and model selection. Known for its consistent API and comprehensive documentation, it is actively maintained with a regular release cadence. The latest stable version is 1.8.0.","language":"python","status":"active","version":"1.8.0","tags":["machine-learning","data-science","ml","statistics","python","artificial-intelligence"],"install":[{"cmd":"pip install -U scikit-learn","imports":["import sklearn","from sklearn.ensemble import RandomForestClassifier","from sklearn.model_selection import train_test_split"]},{"cmd":"conda install -c conda-forge scikit-learn","imports":[]}],"homepage":"https://scikit-learn.org","github":"https://github.com/scikit-learn/scikit-learn","docs":null,"changelog":"https://scikit-learn.org/stable/whats_new","pypi":"https://pypi.org/project/scikit-learn/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":38,"avg_install_s":9.4,"avg_import_s":3.2,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/scikit-learn/compatibility"},"provenance":{"verified_status":"install_fail","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Sun Jul 05","install_tag":"draft"}}