Gradient Boosting Frameworks

Implementations and libraries of gradient boosting algorithms for tabular data and ensemble learning. Includes variants like XGBoost, CatBoost, and specialized approaches (natural gradient, distributional, online learning). Does NOT include general ensemble methods without gradient boosting, decision tree libraries without boosting, or neural network frameworks.

There are 58 gradient boosting frameworks tracked. 4 score above 70 (verified tier). The highest-rated is dmlc/xgboost at 85/100 with 28,121 stars. 6 of the top 10 are actively maintained.

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#	Framework	Score	Tier	Stars	Language
1	dmlc/xgboost Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM)...	85	Verified	28,121	C++
2	catboost/catboost A fast, scalable, high performance Gradient Boosting on Decision Trees...	84	Verified	8,841	C++
3	stanfordmlgroup/ngboost Natural Gradient Boosting for Probabilistic Prediction	72	Verified	1,841	Jupyter Notebook
4	lightgbm-org/LightGBM A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,...	71	Verified	18,240	C++
5	fabsig/GPBoost Tree-Boosting, Gaussian Processes, and Mixed-Effects Models	65	Established	665	C++
6	serengil/chefboost A Lightweight Decision Tree Framework supporting regular algorithms: ID3,...	61	Established	486	Python
7	StatMixedML/XGBoostLSS An extension of XGBoost to probabilistic modelling	59	Established	694	Python
8	perpetual-ml/perpetual Perpetual is a high-performance gradient boosting machine. It delivers...	59	Established	664	Rust
9	siboehm/lleaves Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up...	57	Established	463	Python
10	StatMixedML/LightGBMLSS An extension of LightGBM to probabilistic modelling	57	Established	364	Python
11	JuliaAI/DecisionTree.jl Julia implementation of Decision Tree (CART) and Random Forest algorithms	56	Established	365	Julia
12	benedekrozemberczki/awesome-gradient-boosting-papers A curated list of gradient boosting research papers with implementations.	55	Established	1,045	Python
13	StochasticTree/stochtree Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference	54	Established	71	C++
14	AdrianAntico/RetroFit Simple, opinionated machine learning workflows for rapid iteration.	54	Established	26	Python
15	szilard/GBM-perf Performance of various open source GBM implementations	53	Established	224	HTML
16	fabsig/KTBoost A Python package which implements several boosting algorithms with different...	52	Established	63	Python
17	Swiggy/Moo-GBT Library for Multi-objective optimization in Gradient Boosted Trees	52	Established	78	Python
18	Evovest/EvoTrees.jl Boosted trees in Julia	52	Established	198	Julia
19	Freemanzxp/GBDT_Simple_Tutorial python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解GBDT。Gradient Boosting...	51	Established	737	Python
20	LinearBoost/linearboost-classifier LinearBoost Classifier is a rapid and accurate classification algorithm that...	50	Established	224	Jupyter Notebook
21	komiya-atsushi/xgboost-predictor-java Pure Java implementation of XGBoost predictor for online prediction tasks.	50	Established	346	Java
22	wepe/tgboost Tiny Gradient Boosting Tree	50	Established	323	Java
23	ankane/xgboost-ruby High performance gradient boosting for Ruby	49	Emerging	119	Ruby
24	ankane/eps Machine learning for Ruby	48	Emerging	686	Ruby
25	xRiskLab/fastwoe Fast Weight of Evidence (WOE) Encoding and Inference	48	Emerging	20	Python
26	ankane/lightgbm-ruby High performance gradient boosting for Ruby	48	Emerging	84	Ruby
27	mrapp-ke/MLRL-Boomer A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient...	45	Emerging	4	C++
28	Xtra-Computing/thundergbm ThunderGBM: Fast GBDTs and Random Forests on GPUs	45	Emerging	711	C++
29	rmitsuboshi/miniboosts A collection of boosting algorithms written in Rust 🦀	44	Emerging	57	Rust
30	TravCav/AdaBoost Adaptive Boost Algorithm	44	Emerging	7	JavaScript
31	starling-lab/BoostSRL BoostSRL: "Boosting for Statistical Relational Learning." A...	43	Emerging	31	Java
32	febeling/rb-libsvm Ruby language bindings for LIBSVM	43	Emerging	279	C++
33	rickiepark/handson-gb XGBoost와 사이킷런으로 배우는 그레이디언트 부스팅	42	Emerging	27	Jupyter Notebook
34	PaoloGiordani/HybridTreeBoosting.jl Hytrid Tree Boosting	42	Emerging	3	Julia
35	Blue-Yonder-OSS/cyclic-boosting implementation of Cyclic Boosting machine learning algorithms	41	Emerging	95	Python
36	PKBoost-AI-Labs/PkBoost PKBoost: Adaptive GBDT for Concept Drift, Built from scratch in Rust,...	40	Emerging	66	Rust
37	horoc/treetops Fast LightGBM tree model inference Java library which is based on ASM...	40	Emerging	30	Java
38	faberBI/lambdaguard Overfitting detection for Gradient Boosting — no validation set required	39	Emerging	3	Python
39	fractal-solutions/xgboost-js A pure JavaScript implementation of XGBoost for both Node.js and browser...	39	Emerging	6	JavaScript
40	StatMixedML/CatBoostLSS An extension of CatBoost to probabilistic modelling	39	Emerging	149	—
41	jeremiedb/EvoLinear.jl Linear models	38	Emerging	10	Julia
42	RGF-team/rgf Home repository for the Regularized Greedy Forest (RGF) library. It includes...	38	Emerging	383	C++
43	arogozhnikov/infiniteboost InfiniteBoost: building infinite ensembles with gradient descent	33	Emerging	183	Jupyter Notebook
44	xRiskLab/woeboost Weight of Evidence (WOE) Gradient Boosting	32	Emerging	9	Python
45	StatMixedML/Py-BoostLSS An extension of Py-Boost to probabilistic modelling	32	Emerging	24	Python
46	PaoloGiordani/SMARTboost.jl SMARTboost (boosting of smooth symmetric regression trees)	31	Emerging	17	Julia
47	StatMixedML/DGBM Distributional Gradient Boosting Machines	30	Emerging	28	—
48	ml-rust/treeboost High-performance Gradient Boosted Decision Tree engine for large-scale tabular data	28	Experimental	1	Rust
49	Songyosk/GBFS4MPPML Official implementation of "Gradient Boosted and Statistical Feature...	27	Experimental	13	Jupyter Notebook
50	University-of-Aruba/OmniGBDT Regular Python library for the original GBDT-MO algorithm. Gradient Boosting...	23	Experimental	1	C++
51	timowilm1992/MultiLGBM 🌳MultiLGBM🌳: A simple multi-objective regression example to show how to...	21	Experimental	13	Python
52	statsim/fit Fit XGBoost models online	21	Experimental	1	JavaScript
53	jackhftang/xgboost.nim Nim wrapper for libxgboost	20	Experimental	7	Nim
54	Agnij-Moitra/MSBoost MSBoost is a gradient boosting algorithm that improves performance by...	19	Experimental	3	Jupyter Notebook
55	damn8daniel/gradient-boosting-from-scratch XGBoost-like gradient boosting from scratch in NumPy. Newton boosting,...	14	Experimental	—	Python
56	guillaumelauzier/Gradient_boosting_algorithm Gradient boosting is an ensemble machine learning algorithm that combines...	11	Experimental	—	C++
57	lechipatrick/light-coffee-boost Lightweight java package to make inference using pre-trained xgboost model	11	Experimental	—	Java
58	WillKirkmanM/gradient-boosting Gradient Boosting Ensemble Machine Learning Technique to Combine a...	10	Experimental	1	Rust

Comparisons in this category

xgboost and LightGBM (85 vs 71) xgboost and catboost (85 vs 84) xgboost and XGBoostLSS (85 vs 59) xgboost and GPBoost (85 vs 65) xgboost and chefboost (85 vs 61) xgboost and GBM-perf (85 vs 53) catboost and LightGBM (84 vs 71) LightGBM and awesome-gradient-boosting-papers (71 vs 55) LightGBM and GPBoost (71 vs 65) LightGBM and chefboost (71 vs 61)