Decision Tree Frameworks

Tools, libraries, and implementations for building, visualizing, and working with decision trees and tree-based ensemble methods. Includes educational resources, interactive builders, and optimized implementations. Does NOT include general classification frameworks, random forests as standalone libraries (those are boundary), or non-tree-based predictive models.

There are 73 decision tree frameworks tracked. 4 score above 50 (established tier). The highest-rated is google/yggdrasil-decision-forests at 62/100 with 641 stars. 1 of the top 10 are actively maintained.

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#	Framework	Score	Tier	Stars	Language
1	google/yggdrasil-decision-forests A library to train, evaluate, interpret, and productionize decision forest...	62	Established	641	C++
2	parrt/dtreeviz A python library for decision tree visualization and model interpretation.	61	Established	3,128	Jupyter Notebook
3	tensorflow/decision-forests A collection of state-of-the-art algorithms for the training, serving and...	58	Established	693	Python
4	neurodata/treeple Scikit-learn compatible decision trees beyond those offered in scikit-learn	55	Established	87	Jupyter Notebook
5	winkjs/wink-regression-tree Decision Tree to predict the value of a continuous target variable	48	Emerging	16	JavaScript
6	sanity/quickml A fast and easy to use decision tree learner in java	48	Emerging	234	Java
7	lagodiuk/decision-tree-js Small JavaScript implementation of ID3 Decision tree	47	Emerging	283	JavaScript
8	AntoinePinto/custom-decision-trees A package for building customizable decision trees and random forests.	46	Emerging	10	Python
9	NiklasPfister/adaXT adaXT: tree-based machine learning in Python	44	Emerging	11	Python
10	gxf1027/randomforests C++ implementation of random forests classification, regression, proximity,...	43	Emerging	21	C++
11	sametcopur/obliquetree obliquetree is an advanced decision tree implementation featuring oblique...	42	Emerging	23	Cython
12	scify/Machine-Learning-Decision-Trees-Robot A simple playground app to showcase the mechanisms of Machine Learning	42	Emerging	1	Vue
13	balins/fuzzytree A Fuzzy Decision Tree implementation for Python.	42	Emerging	21	Python
14	dataiku/dss-plugin-decision-tree-builder Dataiku DSS plugin to manually build decision trees and use them to score...	40	Emerging	8	JavaScript
15	lahovniktadej/gatree Evolutionary decision trees	38	Emerging	11	Python
16	igrigorik/decisiontree ID3-based implementation of the ML Decision Tree algorithm	37	Emerging	1,474	Ruby
17	SaintAngeLs/decision_trees_generating_from_decision_tables Automatic decision tree generation from decision tables provided. This tool...	36	Emerging	2	C
18	Sarailidis/Interactive-Decision-Trees Interactive Construction and Analysis of Decision Trees	35	Emerging	8	Jupyter Notebook
19	PlantedML/randomPlantedForest Random Planted Forest	35	Emerging	6	C++
20	kevalmorabia97/ID3-Decision-Tree-Classifier-in-Java ID3 Decision Tree Classifier for Machine Learning along with Reduced Error...	34	Emerging	6	Java
21	zziz/cart Classification and Regression Trees (CART) in python from scratch.	32	Emerging	24	Python
22	vedranav/hierarchy-decomposition-pipeline Hierarchy decomposition pipeline is a supervised machine learning tool that...	31	Emerging	3	Java
23	jeantux/scitree A collection of state-of-the-art algorithms for Decision Forest.	31	Emerging	4	Elixir
24	dvilaverde/SkLearn2Java A parser for scikit-learn exported text models to execute in the Java runtime.	30	Emerging	2	Java
25	a-partovii/Gini-Impurity This repository contains Python scripts for calculating the Gini Impurity...	29	Experimental	76	Python
26	greenfish77/gaenari c++ incremental decision tree	29	Experimental	29	C++
27	ez-kraivit/webin_decision_tree webin_decision_tree	26	Experimental	1	JavaScript
28	jvn1567/DecisionTree Implements a machine learning decision tree in C++.	24	Experimental	5	C++
29	rdk/FasterForest Fast Random Forests implementatios for Java.	23	Experimental	—	Java
30	IvanGrigorov/Decision-Tree-ALg Creating a decision tree platform for different types of data. No pruning is...	22	Experimental	6	C#
31	azad-academy/MLBasics-DecisionTrees A Lesson & implementation of Decision Tree Classifier in Numpy and Python	22	Experimental	2	Python
32	stabgan/Decision-Tree-Classification This repository deals with the implementation of Decision tree Classifier	22	Experimental	—	Python
33	stabgan/Decision-Tree-Regression Applied Decision tree algorithms both in Python and R	22	Experimental	—	R
34	sibirbil/OCDT Output-Constrained Decision Trees (OCDT)	21	Experimental	14	Python
35	hi-tech-jazz/hybridforest HybridForest provides random forests built upon combinations of different...	20	Experimental	6	Ruby
36	GenomeDataScience/FastRandomForest A fast implementation of the Random Forest algorithm for the Weka environment	20	Experimental	8	Java
37	joschout/LazyBum Source code related to the ILP 2019 paper 'LazyBum: Decision tree learning...	20	Experimental	8	Java
38	simsal0r/mixture-of-decision-trees Mixture of Decision Trees for Interpretable Machine Learning	20	Experimental	11	Jupyter Notebook
39	MahanVeisi8/Readahead-Optimization-Using-ML-Models Implements Decision Trees, Neural Networks, and Random Forests to optimize...	20	Experimental	6	Jupyter Notebook
40	kirklin/deep-decision AI decision analysis tool that helps users make complex decisions by...	19	Experimental	4	TypeScript
41	ImAmelie/DecisionTree C++实现的决策树	19	Experimental	4	C++
42	Tech-Nomadic-X/decision-tree-classifier-iris "A Scikit-learn implementation of a Decision Tree Classifier on the Iris...	19	Experimental	2	Jupyter Notebook
43	Apipilikas/ID3 This is the ID3 implementation project for the course Artificial...	17	Experimental	1	Java
44	UpperCi/Decision-Tree-UI Interface to try out a decision tree	17	Experimental	1	JavaScript
45	SousaPedroso/DTP Decision Tree and Perceptron performance comparison through a small dataset	17	Experimental	1	C++
46	RK0297/Decision-Tree-Visualiser A decision tree visualizer tool that helps illustrate how decision tree...	17	Experimental	—	TypeScript
47	WeltXing/PyDT 决策树分类与回归模型的实现和可视化	14	Experimental	18	Python
48	TabishShahMohsin/decisionTrees Trying Decision Tress from Scratch and comparing them with Libraries	14	Experimental	—	Jupyter Notebook
49	MatewContreras/Iris-DecisionTrees-EnsembleTechniques Analyze and compare decision tree and ensemble methods on the Iris dataset...	14	Experimental	—	Jupyter Notebook
50	many-facedgod/Decision-Trees Decision Tree, Random Forest and AdaBoost implementation from scratch.	13	Experimental	—	Java
51	Develop-Packt/Introduction-to-Decision-Trees This chapter introduces you to two types of supervised learning algorithms...	13	Experimental	—	Jupyter Notebook
52	gadea-lucas/decision-trees-simulator-teachers This project extends an open-source teaching tool for visually and...	13	Experimental	—	JavaScript
53	adexoxo13/Decision_Treee Decision Tree Classifier \| Jupyter Notebook \| Supervised Learning \| Machine...	13	Experimental	—	Jupyter Notebook
54	josepablodmg/Decision-Analysis-and-Neural-Network-Applications-with-Python This project applies decision analysis and machine learning to solve...	13	Experimental	—	HTML
55	BenyaminZojaji/Decision-Trees Classification Decision Trees	13	Experimental	9	Jupyter Notebook
56	Abhijith14/Decision-Making-and-Decision-Trees-Symbolic-AI Decision Making and Decision Trees - Symbolic AI	12	Experimental	7	Jupyter Notebook
57	patrikkaura/quadtree Quadtree - gradient-boosted decision tree model used to predict guanine...	12	Experimental	1	JavaScript
58	DheerajGadwala/Decision-Tree-Hadoop Distributed Implementation of decision tree model. Training and testing it...	11	Experimental	—	Java
59	PaluMacil/decisive-oak Information-based Learning using Decision Trees written in Go.	11	Experimental	—	Go
60	olliglorioso/decision-tree-ts Predict unknown values with the decision tree (CART) algorithm, with...	11	Experimental	—	TypeScript
61	riversun/spark-ml-feature-importance-helper With Spark, you can associate column names and scores with which feature are...	11	Experimental	—	Java
62	mikhailbahdashych/AI-ID3-c4.5-algorithm Implementation of ID3-c4.5 algorithm using Python.	11	Experimental	—	Python
63	dataman83/Decision-tree-implementation-from-scratch- Decision Tree Classifier for Politician Party Prediction: Using voting...	11	Experimental	—	Python
64	rm-learning/DecisionTreeAnalysisAI 🌲 Learning the different implementation approaches of decision trees using...	11	Experimental	—	Jupyter Notebook
65	dev-michael-schmidt/ai-id3 generate an ID3 decision tree using the UCI Iris and Breast Cancer datasets	11	Experimental	—	Jupyter Notebook
66	eva-rubio/Decision-Trees-Algo Decision Trees - Artificial Intelligence Algorithm / Machine Learning - Java	11	Experimental	—	Jupyter Notebook
67	gbenedetti22/random-forest-classifier-cpp A very fast implementation of a Random Forest Classifier on C++	11	Experimental	—	C++
68	mahmoudai1/decision-tree C# Decision Tree.	11	Experimental	—	C#
69	LexieZhou/Decide Decide: an interactive web tool for detecting and identifying version...	11	Experimental	3	JavaScript
70	nadhif-royal/DecisionTree_vs_RandomForest 🚀 Enhancing Classification Accuracy with Decision Tree & Random Forest. I...	11	Experimental	—	Jupyter Notebook
71	officialpm/Play-Or-Not-Android-App Using Decision Tree🔥	11	Experimental	—	Java
72	ruivieira/java-decision-tree A Java implementation of Decision Trees and Random Forests.	11	Experimental	—	Java
73	FarhadNasri/DT Decision Tree implementation on iris dataset with python.	11	Experimental	—	Jupyter Notebook