What is LightGBM?

63/100
Trust Score (C)
⚠️ Use Caution

LightGBM is a AI tool that 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 tas. It has a Nerq Trust Score of 63/100 (C). 18.1K GitHub stars. Published by Unknown. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

63
TRUST SCORE
C
GRADE
18.1K
STARS
0
DOWNLOADS

What LightGBM Does

LightGBM is a tool in the AI tool category. 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.. It is published by an independent developer and has no specified license. With 18.1K GitHub stars and 0 downloads, it has a large and active community of users and contributors.

Who Should Use LightGBM

LightGBM is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorUnknown
CategoryAI tool
LicenseNot specified
Typetool
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=microsoft-lightgbm

Setup guide · Full safety report · Production review · Is it safe?

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Frequently Asked Questions

What is LightGBM used for?
LightGBM is a AI tool tool. 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 tas.
Is LightGBM free?
License: Check project page. LightGBM has 18.1K GitHub stars.
Is LightGBM safe?
LightGBM has a Nerq Trust Score of 63/100 (C). Use with caution.
What are alternatives to LightGBM?
Top alternatives: openclaw, stable-diffusion-webui, prompts.chat. See full comparison.

Last updated September 2026. Trust scores based on automated analysis of public data.

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