dtreeviz and Interactive-Decision-Trees
One tool provides a Python library for visualizing and interpreting existing decision trees, while the other offers an interactive web-based interface for constructing and analyzing them, making them complementary tools that address different stages of the decision tree workflow.
About dtreeviz
parrt/dtreeviz
A python library for decision tree visualization and model interpretation.
Supports scikit-learn, XGBoost, LightGBM, Spark MLlib, and TensorFlow Decision Forests through a unified adaptor interface, enabling consistent visualization APIs across frameworks. Generates SVG/PNG visualizations showing tree structure, individual prediction paths with feature contributions, leaf distributions, and decision boundaries for both classification and regression. Also provides feature space exploration tools like decision boundary visualization and hyperparameter animation for model interpretation.
About Interactive-Decision-Trees
Sarailidis/Interactive-Decision-Trees
Interactive Construction and Analysis of Decision Trees
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