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Top 23 Python Xgboost Projects
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mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Im working on AI data analyst - MLJAR Studio. It is conversational UI with AI agent which uses Python to provide data insights. It is available as desktop application https://mljar.com
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m2cgen
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
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mars
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
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awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
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AutoViz
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
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awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
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MLServer
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
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timber
Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code. One command to load, one command to serve. 336x faster than Python inference. (by kossisoroyce)
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Auto_ViML
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
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Project mention: Show HN: Impress your boss with interactive Decision Tree Visualization | news.ycombinator.com | 2026-06-10
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alpha-zero-boosted
A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)
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Python-Schema-Matching
A python tool using XGboost and sentence-transformers to perform schema matching task on tables.
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quick-deploy
Optimize, convert and deploy machine learning models as fast inference API using Triton and ORT. Currently support Hugging Face transformers, PyToch, Tensorflow, SKLearn and XGBoost models.
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MLFCrafter
ML Pipeline Automation Tool - Chain together data processing, model training, and deployment with minimal code. Build production-ready ML workflows in minutes, not hours.
Project mention: Ask HN: I built an ML pipeline automation framework – how can I improve it? | news.ycombinator.com | 2025-07-26Hi HN,
I’m working on an open-source ML automation framework called MLFCrafter.
It’s designed to help build modular, reusable machine learning pipelines using components like CleanerCrafter, ScalerCrafter, ModelCrafter, all connected via a MLFChain.
Here’s the repo: https://github.com/brkcvlk/MLFCrafter
I’d love feedback on:
What features would make this more useful for real-world ML projects?
How can I improve usability and adoption?
Tips on growing an open-source project from solo development to a widely used framework?
Thanks in advance for any advice or thoughts!
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uedu
UEDU: Mental health distress signal detection in student writing using psycholinguistic NLP. 40 features, XGBoost, Glass Box explainable engine. 100% local, no cloud AI needed.
Project mention: UEdu – Student writing mental health signals with 40 psycholinguistic features | news.ycombinator.com | 2026-03-29
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Python Xgboost discussion
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A note from our sponsor - SaaSHub
www.saashub.com | 12 Jun 2026
Index
What are some of the best open-source Xgboost projects in Python? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | mljar-supervised | 3,265 |
| 2 | m2cgen | 2,977 |
| 3 | mars | 2,744 |
| 4 | awesome-decision-tree-papers | 2,473 |
| 5 | AutoViz | 1,903 |
| 6 | MLBox | 1,530 |
| 7 | mlforecast | 1,227 |
| 8 | xorbits | 1,204 |
| 9 | awesome-gradient-boosting-papers | 1,052 |
| 10 | MLServer | 889 |
| 11 | timber | 683 |
| 12 | FastTreeSHAP | 553 |
| 13 | Hyperactive | 550 |
| 14 | Auto_ViML | 546 |
| 15 | supertree | 535 |
| 16 | tempo | 121 |
| 17 | alpha-zero-boosted | 88 |
| 18 | Python-Schema-Matching | 41 |
| 19 | python-ranker | 22 |
| 20 | dmatrix2np | 19 |
| 21 | quick-deploy | 6 |
| 22 | MLFCrafter | 4 |
| 23 | uedu | 3 |
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