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Category
Developer Tools
Rank
Pricing
Open Source
Platform
web
Type
TOOL
GitHub
687 stars
Latest release
v1.1.0
Date

About

A Python library that renders interactive decision tree visualizations inside Jupyter, JupyterLab, and Colab notebooks, supporting scikit-learn, XGBoost, LightGBM, and ONNX tree models. Unlike static matplotlib plotting, it lets users zoom, pan, collapse nodes, and trace individual sample paths through the tree at any depth.

What it can do

  • Render interactive decision tree visualization in notebooks

    Decision tree model (scikit-learn, XGBoost, LightGBM, or ONNX)Interactive tree visualization

  • Trace individual sample paths through the tree

    Sample dataHighlighted path through tree

Why it made the leaderboard

Lets you inspect and explain a trained decision tree inside the notebook instead of exporting static plots, useful for debugging splits and presenting models to non-technical stakeholders.

Tags

pythonjupyterdata-sciencedecision-treesvisualizationmlscikit-learnxgboost

Tech Stack

Python

Media

supertree

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Editorially curated, with community endorsements as a secondary signal. Corrections welcome.