Show HN: SuperTree – interactive decision tree plot for sklearn,xgboost,lightgbm

Category: library

Tags: decision-tree, visualization, jupyter

Score: 6.0/10 (Innovation: 5, Technical: 6, Documentation: 7, Utility: 6)

SuperTree provides interactive decision tree visualizations for scikit-learn, XGBoost, LightGBM, and ONNX models directly in Jupyter notebooks, with features like zoom, pan, and path tracing. It fills a practical niche by making tree-based model exploration more intuitive and accessible for data scientists. Its support for multiple ML frameworks and interoperability adds to its appeal.

Target audience: data scientists, machine learning engineers

Repository: https://github.com/mljar/supertree · JavaScript · Apache-2.0 · 543 stars

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