Kaggle Python Packages

lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

xgboost-ray

Distributed XGBoost on Ray

catboost-dev

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

upgini

Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs

hill-climbing

A python package for ensembling machine learning predictions using hill climbing optimization

lightautoml

Fast and customizable framework for automatic ML model creation (AutoML)

koolbox

A collection of utility functions to simplify training machine learning models for Kaggle competitions.

pytorch-toolbelt

PyTorch extensions for fast R&D prototyping and Kaggle farming

rgf-python

Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.

kaggler

Code for Kaggle Data Science Competitions

kts

Interactive ML Toolset

hypex

Fast and customizable framework for automatic and quick Causal Inference in Python

safe-kaggle-mcp

Safety-first MCP server connecting Claude to Kaggle (competitions, datasets, kernels, models) — confirm-token gates, submission budget, prompt-injection hardening.

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

evaluations

This library implements various metrics (including Kaggle Competition, Medicine) for evaluating ML, DL, AI models, and algorithms. 📐📊📈📉📏

goto-conversion

goto_conversion - Powered $47,000 of prize money, 10+ Gold Medals and 100+ Medals on Kaggle

lucifer-ml

Semi-Auto Machine Learning Library by d4rk-lucif3r

mcp-server-kaggle

MCP server for the Kaggle API — manage competitions, datasets, kernels, and models from Claude Desktop and any MCP-compatible client.

kagglerun

Execute Python on Kaggle's FREE GPUs from your terminal. Perfect for AI agents like Claude Code.

kaggledatasets

Collection of Kaggle Datasets ready to use for Everyone (Looking for contributors)

ariel-data-preprocessing

Kaggle competition: NeurIPS - Ariel Data Challenge 2025

fastkaggle

Kaggling for fast kagglers!

dao-scripts

"A tool to download data to monitor DAO activity"