reiinakano/scikit-plot

Health v2 · maintenance only

Adoption not part of the score

2433 stars · 285 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Scikit-plot is a Python library that adds one-line plotting functions for common machine learning visualizations to scikit-learn objects, built on matplotlib. It covers plots like ROC curves, confusion matrix heatmaps, precision-recall curves, and learning curves with minimal boilerplate.

Use cases

• plot roc curves for classification models
• visualize confusion matrix as a heatmap
• plot precision-recall curves
• generate learning curves for scikit-learn estimators
• quickly visualize machine learning evaluation metrics
• make presentation-ready ml plots with minimal code

When to choose

• you use scikit-learn and want standard ML evaluation plots in one line
• you need quick, attractive matplotlib charts for model evaluation without boilerplate

When to avoid

• you need interactive or web-based dashboards rather than static matplotlib figures
• you need highly customized or novel visualizations beyond the built-in plot types
• you don't use scikit-learn-style estimators

Facets

library · maturity maintenance

data-visualization charts machine-learning data-science data-visualization python scikit-learn matplotlib plotting roc-curves confusion-matrix

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