Repository / RESOURCE PROFILE

LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking

Open-source Frameworks
github.comC++
Visit source website ↗
Screenshot unavailableResource information and source links remain available. LightGBM — reviewed source website screenshot
Reviewed source screenshot · recorded Oct 11, 2026 View source ↗

Overview

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking

Topics & capabilities

educationlibrarygbdtgbmmachine-learningdata-miningdistributedlightgbmgbrtdecision-trees

Repository information

Repository
lightgbm-org/LightGBM ↗
Repository owner
lightgbm-org
Primary language
C++
Repository code license
MIT ↗
Maintenance status
Not archived at the recorded check
Forked repository
No
GitHub stars
18,854
Forks
4,086
Default branch
main
Last repository push
Oct 11, 2026
Latest release
v4.7.0 ↗
Release published
Jul 18, 2026
Project homepage
https://lightgbm.readthedocs.io/en/latest/ ↗

Source: GitHub API · observed Oct 11, 2026. Stars and forks are recorded counts. Repository code licenses may differ from dataset or model-weight licenses.

Publisher page information

Source page title
GitHub - lightgbm-org/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. · GitHub
Site name (reported)
GitHub
Declared page language
en
Observed source URL
https://github.com/lightgbm-org/LightGBM ↗
Publisher canonical URL
https://github.com/lightgbm-org/LightGBM ↗
Source metadata observed
Oct 11, 2026

Recorded from the source page’s published HTML metadata. Publisher page language can differ from this directory’s English interface.

Source links & provenance

https://github.com/lightgbm-org/LightGBM ↗

Discovery references

References explain how this resource entered the collection. They do not represent an endorsement.

Explore related resources

Screenshot unavailableResource information and source links remain available. awesome-systematic-trading — browser editor — reviewed source website screenshot
WebsiteChecked capture

awesome-systematic-trading — browser editor

github.dev

Browser editor entry point for the wangzhe3224/awesome-systematic-trading resource collection.

Directory citations
1
Discovery sources
1
tradingquant-tools
Open-source Frameworks Explore →
98 Authority 98 / 100 Cited by 1 resources in this directory 1 discovery sources Directory record updated: 2026-10-14 How scoring works →

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