GPBoost and chefboost

GPBoost and Chefboost are competitors: GPBoost offers production-grade gradient boosting with Gaussian process integration for advanced statistical modeling, while Chefboost provides a lightweight, educational implementation of multiple classical tree-based algorithms including basic gradient boosting support.

GPBoost
77
Verified
chefboost
67
Established
Maintenance 16/25
Adoption 20/25
Maturity 25/25
Community 16/25
Maintenance 2/25
Adoption 16/25
Maturity 25/25
Community 24/25
Stars: 665
Forks: 53
Downloads: 5,433
Commits (30d): 5
Language: C++
License: —
Stars: 486
Forks: 101
Downloads: 623
Commits (30d): 0
Language: Python
License: MIT
No risk flags
Stale 6m

About GPBoost

fabsig/GPBoost

Tree-Boosting, Gaussian Processes, and Mixed-Effects Models

About chefboost

serengil/chefboost

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python

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