{"categories":[{"label":"Visualization","url":"https://skillfed.io/packages/category/scientific-engineering-visualization"}],"enrichment":{"capability":"Scikit-plot generates publication-ready visualizations for machine learning evaluation metrics with single-line function calls, working with scikit-learn and other classifiers.","skillfed_tags":["machine-learning-viz","classifier-metrics","matplotlib-wrapper"],"use_cases":["Quickly visualize multi-class ROC curves with micro and macro averages for classifier evaluation","Generate confusion matrices with class labels for model diagnostic reports","Plot precision-recall curves for imbalanced classification problems","Create publication-ready evaluation plots for academic papers or presentations without manual matplotlib configuration","Compare classifier performance across multiple metrics in a single visualization pass"],"what_it_does":"Scikit-plot is a thin wrapper around matplotlib that generates common machine learning evaluation visualizations\u2014ROC curves, confusion matrices, precision-recall plots, and similar metrics\u2014with minimal boilerplate. Instead of writing dozens of lines to configure matplotlib and compute multi-class variants, you call a single function with your ground-truth labels and predicted probabilities, and get a polished, publication-ready plot.\n\nThe library works with any classifier that produces probability predictions. It depends on matplotlib for rendering, scikit-learn for metric computations, scipy for statistical operations, and joblib for parallelization. The package has been dormant since 2018-08-19, so it receives no active maintenance or updates.","worth_installing":"Yes, if you need fast, minimal-boilerplate ML evaluation plots and can tolerate dormant maintenance. The low install friction and permissive license make it a low-risk addition to analysis workflows. However, be aware that no active development means no fixes for compatibility issues with newer dependencies\u2014test thoroughly in your environment before relying on it in production pipelines."},"id":"scikit-plot","links":{"html":"https://skillfed.io/packages/scikit-plot","md":"https://skillfed.io/packages/scikit-plot.md","pypi":"https://pypi.org/project/scikit-plot/"},"maintenance":{"status":"dormant"},"meta":{"latest_release":"2018-08-19","license_spdx":null,"license_treatment":"permissive","name":"scikit-plot","python_support":"unspecified","summary":"An intuitive library to add plotting functionality to scikit-learn objects."},"popularity":{"monthly_downloads":511194,"position":6261,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.3.7"}