parrt/dtreeviz

Health v2 · maintenance only

Adoption not part of the score

3157 stars · 337 forks observed · 2026-09-24

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

dtreeviz is a Python library for visualizing decision trees and interpreting tree-based machine learning models. It supports scikit-learn, XGBoost, LightGBM, Spark MLlib, and TensorFlow Decision Forests, producing rich SVG visualizations of trees, prediction paths, and leaf information.

Use cases

• visualize a decision tree from scikit-learn
• explain a single prediction path in a random forest
• interpret an XGBoost gradient boosting model
• plot decision tree structure for teaching machine learning
• explore feature space of a regression tree
• visualize LightGBM or Spark MLlib trees

When to choose

• you need detailed, publication-quality decision tree visualizations
• you want to explain individual predictions from tree ensembles
• you work with scikit-learn, XGBoost, LightGBM, Spark, or TensorFlow decision forests in Python

When to avoid

• you need visualization of non-tree-based models like neural networks
• you want a lightweight text-only tree dump rather than rich graphics
• your project is not in Python

Facets

library · maturity active

data-visualization machine-learning machine-learning data-science data-visualization python decision-trees scikit-learn xgboost lightgbm random-forest model-interpretation explainability

Member repositories

For agents

markdown · JSON · MCP: product_card(name="parrt/dtreeviz")