Lightgbm 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.

synapseml

Simple and Distributed Machine Learning

mlforecast

Scalable machine 🤖 learning for time series forecasting.

neptune

📘 The experiment tracker for foundation model training

skforecast

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

neptune-client

📘 The experiment tracker for foundation model training

fasttreeshap

Fast SHAP value computation for interpreting tree-based models

lleaves

Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.

eland

Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

pymars

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

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

mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

shap-hypetune

A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.

nyoka

Nyoka is a Python library that helps to export ML models into PMML (PMML 4.4.1 Standard).

arfs

All Relevant Feature Selection

supermodelingfactory

Production-grade Python toolkit for credit risk modeling — scorecards, LR, LightGBM/XGBoost, WOE/IV, PSI, KS, SHAP. Source-protected wheels via Cython.

xorbits

Scalable Python DS & ML, in an API compatible & lightning fast way.

supertree

Impress your boss with interactive Decision Tree visualization

roost-ai

ROOST — deterministic trust layer for AI-written code: calibrated, read-only risk scores for every change + an honest outcome ledger

auto-ml

[UNMAINTAINED] Automated machine learning for analytics & production

dquant

DQuant is an open-source Python library for automated volatility forecasting of financial time series.

lightgbmlss

An extension of LightGBM to probabilistic modelling

mqboost

[Mach. Learn. 2026] Official implementation of "Monotone Composite Quantile Regression via Second-Order Gradient Boosting Framework"

fairgbm

Train Gradient Boosting models that are both high-performance *and* Fair!