Supertree – interactive visualization of decision trees in Python
Hi All, I would like to share with you a new Python package for interactive decision tree visualization. It is called `supertree`. It visualizes decision tree as interactive graph, where you can collapse and expand selected nodes. You can zoom and pan though large trees. It works with Scikit-learn, Xgboost, and LightGBM. The package works in notebooks: Jupyter Lab, Jupyter Notebook, Google Colab. You can also use it in Python scripts and save output trees to HTML. The package is available on pip: `pip install supertree`. You can find code examples on the GitHub:…
In plain words
Supertree is a Python package for visualizing decision trees as interactive graphs. It works with Scikit-learn, XGBoost, and LightGBM models and allows users to collapse, expand, zoom, and pan through trees. The tool runs in Jupyter Lab, Jupyter Notebook, and Google Colab, and can also be used in Python scripts with output saved to HTML format.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hi All, I would like to share with you a new Python package for interactive decision tree visualization. It is called `supertree`. It visualizes decision tree as interactive graph, where you can collapse and expand selected nodes. You can zoom and pan though large trees. It works with Scikit-learn, Xgboost, and LightGBM. The package works in notebooks: Jupyter Lab, Jupyter Notebook, Google Colab. You can also use it in Python scripts and save output trees to HTML. The package is available on pip: `pip install supertree`. You can find code examples on the GitHub: https://github.com/mljar/supertree Happy exploring!
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