Yellowbrick is a suite of visual diagnostic tools called “Visualizers” that extend the scikit-learn API to allow human steering of the model selection process. In a nutshell, Yellowbrick combines scikit-learn with matplotlib in the best tradition of the scikit-learn documentation, but to produce visualizations for your machine learning workflow!

For complete documentation on the Yellowbrick API, a gallery of available visualizers, the contributor’s guide, tutorials and teaching resources, frequently asked questions, and more, please visit our documentation at


Feature Analysis Visualizers. RadViz Visualizer. Rank Features. Rank 1D. Rank 2D. Quick Methods. API Reference. Parallel Coordinates. PCA Projection. Manifold Visualization. Direct Data Visualization.
Target Visualizers.
Regression Visualizers.

Official website

Tutorial and documentation

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