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 56 gradient boosting frameworks tracked. 5 score above 70 (verified tier). The highest-rated is dmlc/xgboost at 98/100 with 28,121 stars and 41,912,233 monthly downloads. 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)...	98	Verified	28,121	C++
2	catboost/catboost A fast, scalable, high performance Gradient Boosting on Decision Trees...	97	Verified	8,841	C++
3	stanfordmlgroup/ngboost Natural Gradient Boosting for Probabilistic Prediction	82	Verified	1,841	Jupyter Notebook
4	fabsig/GPBoost Tree-Boosting, Gaussian Processes, and Mixed-Effects Models	77	Verified	665	C++
5	lightgbm-org/LightGBM A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,...	71	Verified	18,157	C++
6	siboehm/lleaves Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up...	67	Established	463	Python
7	serengil/chefboost A Lightweight Decision Tree Framework supporting regular algorithms: ID3,...	67	Established	486	Python
8	StatMixedML/LightGBMLSS An extension of LightGBM to probabilistic modelling	63	Established	364	Python
9	perpetual-ml/perpetual Perpetual is a high-performance gradient boosting machine. It delivers...	59	Established	664	Rust
10	StatMixedML/XGBoostLSS An extension of XGBoost to probabilistic modelling	59	Established	694	Python
11	fabsig/KTBoost A Python package which implements several boosting algorithms with different...	58	Established	63	Python
12	StochasticTree/stochtree Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference	57	Established	71	C++
13	JuliaAI/DecisionTree.jl Julia implementation of Decision Tree (CART) and Random Forest algorithms	56	Established	365	Julia
14	benedekrozemberczki/awesome-gradient-boosting-papers A curated list of gradient boosting research papers with implementations.	55	Established	1,045	Python
15	szilard/GBM-perf Performance of various open source GBM implementations	53	Established	224	HTML
16	LinearBoost/linearboost-classifier LinearBoost Classifier is a rapid and accurate classification algorithm that...	53	Established	224	Jupyter Notebook
17	Swiggy/Moo-GBT Library for Multi-objective optimization in Gradient Boosted Trees	52	Established	78	Python
18	AdrianAntico/RetroFit Simple, opinionated machine learning workflows for rapid iteration.	52	Established	26	Python
19	Evovest/EvoTrees.jl Boosted trees in Julia	52	Established	198	Julia
20	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
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	ankane/lightgbm-ruby High performance gradient boosting for Ruby	48	Emerging	84	Ruby
26	xRiskLab/fastwoe Fast Weight of Evidence (WOE) Encoding and Inference	46	Emerging	20	Python
27	Xtra-Computing/thundergbm ThunderGBM: Fast GBDTs and Random Forests on GPUs	45	Emerging	711	C++
28	rmitsuboshi/miniboosts A collection of boosting algorithms written in Rust 🦀	44	Emerging	57	Rust
29	starling-lab/BoostSRL BoostSRL: "Boosting for Statistical Relational Learning." A...	43	Emerging	31	Java
30	febeling/rb-libsvm Ruby language bindings for LIBSVM	43	Emerging	279	C++
31	Blue-Yonder-OSS/cyclic-boosting implementation of Cyclic Boosting machine learning algorithms	41	Emerging	95	Python
32	PKBoost-AI-Labs/PkBoost PKBoost: Adaptive GBDT for Concept Drift, Built from scratch in Rust,...	40	Emerging	66	Rust
33	horoc/treetops Fast LightGBM tree model inference Java library which is based on ASM...	40	Emerging	30	Java
34	StatMixedML/CatBoostLSS An extension of CatBoost to probabilistic modelling	39	Emerging	149	—
35	RGF-team/rgf Home repository for the Regularized Greedy Forest (RGF) library. It includes...	38	Emerging	383	C++
36	fractal-solutions/xgboost-js A pure JavaScript implementation of XGBoost for both Node.js and browser...	38	Emerging	6	JavaScript
37	mrapp-ke/MLRL-Boomer A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient...	38	Emerging	4	C++
38	TravCav/AdaBoost Adaptive Boost Algorithm	37	Emerging	7	JavaScript
39	faberBI/lambdaguard Overfitting detection for Gradient Boosting — no validation set required	37	Emerging	3	Python
40	PaoloGiordani/HybridTreeBoosting.jl Hytrid Tree Boosting	35	Emerging	3	Julia
41	rickiepark/handson-gb XGBoost와 사이킷런으로 배우는 그레이디언트 부스팅	35	Emerging	27	Jupyter Notebook
42	arogozhnikov/infiniteboost InfiniteBoost: building infinite ensembles with gradient descent	33	Emerging	183	Jupyter Notebook
43	jeremiedb/EvoLinear.jl Linear models	31	Emerging	10	Julia
44	ocramz/rp-tree Random projection trees	25	Experimental	3	Haskell
45	xRiskLab/woeboost Weight of Evidence (WOE) Gradient Boosting	25	Experimental	9	Python
46	StatMixedML/Py-BoostLSS An extension of Py-Boost to probabilistic modelling	25	Experimental	24	Python
47	ml-rust/treeboost High-performance Gradient Boosted Decision Tree engine for large-scale tabular data	24	Experimental	1	Rust
48	PaoloGiordani/SMARTboost.jl SMARTboost (boosting of smooth symmetric regression trees)	24	Experimental	17	Julia
49	StatMixedML/DGBM Distributional Gradient Boosting Machines	23	Experimental	28	—
50	University-of-Aruba/OmniGBDT Regular Python library for the original GBDT-MO algorithm. Gradient Boosting...	23	Experimental	1	C++
51	Songyosk/GBFS4MPPML Official implementation of "Gradient Boosted and Statistical Feature...	20	Experimental	13	Jupyter Notebook
52	timowilm1992/MultiLGBM 🌳MultiLGBM🌳: A simple multi-objective regression example to show how to...	16	Experimental	13	Python
53	statsim/fit Fit XGBoost models online	14	Experimental	1	JavaScript
54	damn8daniel/gradient-boosting-from-scratch XGBoost-like gradient boosting from scratch in NumPy. Newton boosting,...	14	Experimental	—	Python
55	Agnij-Moitra/MSBoost MSBoost is a gradient boosting algorithm that improves performance by...	14	Experimental	3	Jupyter Notebook
56	jackhftang/xgboost.nim Nim wrapper for libxgboost	13	Experimental	7	Nim

Comparisons in this category

xgboost and LightGBM (98 vs 71) xgboost and catboost (98 vs 97) xgboost and XGBoostLSS (98 vs 59) xgboost and GPBoost (98 vs 77) xgboost and chefboost (98 vs 67) xgboost and GBM-perf (98 vs 53) catboost and LightGBM (97 vs 71) LightGBM and awesome-gradient-boosting-papers (71 vs 55) LightGBM and GPBoost (71 vs 77) LightGBM and chefboost (71 vs 67)