Decision Tree Python Packages

connected-components-3d

Connected components on discrete and continuous multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants; periodic boundaries (4, 8, & 6)

mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

pyxai

PyXAI (Python eXplainable AI) is a Python library (version 3.6 or later) allowing to bring formal explanations suited to (regression or classification) tree-based ML models (Decision Trees, Random Forests, Boosted Trees, ...).

dectree

A tool to explore and visualize decision trees

classicml

简单易用的经典机器学习框架

obliquetree

obliquetree is an advanced decision tree implementation featuring oblique and axis-aligned splits, optimized performance.

r2py-rpart

Python port of R's rpart: recursive partitioning and regression trees, with a compiled C core (via cffi) and R-parity Python functions for fitting, pruning, predicting, and plotting trees. Supports classification, regression, Poisson/survival, and user-defined splits. GPL-2.0-or-later, derived from Therneau & Atkinson's rpart.

forestfire-ml

Machine learning from the ground up in Rust

pyxai-experimental

PyXAI (Python eXplainable AI) is a Python library (version 3.6 or later) allowing to bring formal explanations suited to (regression or classification) tree-based ML models (Decision Trees, Random Forests, Boosted Trees, ...).

classicml-python

简单易用的经典机器学习框架

grande

(ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles

metasklearn

MetaSklearn: A Metaheuristic-Powered Hyperparameter Optimization Framework for Scikit-Learn Models.

decision-tree-morfist

Multi-target Random Forest implementation that can mix both classification and regression tasks.

mpsboost

Fast gradient-boosted decision trees for Apple Silicon. A lightweight, sklearn-style Python API powered by MPS and Metal.

pymep

pymep is a simple python math expression parser.It is a recursive LR parser (Left-Right Parser) without backtracking

temper-skills

Test suites + deterministic Python for your agent skills' decision logic. Adversarial persona reviewers write the tests; the generated code must keep passing them — zero LLM calls at inference. Try: uvx temper-skills audit <skill.md>

density-forest

Density Forests for Uncertainty, SIE Master Project, EPFL, Spring Semester 2018

timbertrek

Explore and compare 1K+ accurate decision trees in your browser!

classic-id3-decisiontree

ID3 is a Machine Learning Decision Tree Algorithm that uses two methods to build the model. The two methods are Information Gain and Gini Index.

scikit-obliquetree

Oblique Decision Tree in Python

machlearn

A Simple Yet Powerful Machine Learning Python Library

stackboost

Open source gradient boosting library

get-oblique

Gradient-based Entire Tree Optimization For Oblique Decision Tree

classicml-lite

简单易用的经典机器学习框架