LightGBM
productml_framework
Overview
Developed byMicrosoft
LicenseMIT License
Open source✓ Open Source
Use casegradient boosting framework
Technical
API compatible
Protocols
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Alternative to
Competes with
Knowledge graph stats
Claims25
Avg confidence96%
Avg freshness100%
Last updatedUpdated 10h ago
WikidataQ57267665
Trust distribution
100% unverified
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LightGBM

product

Microsoft fast gradient boosting framework using tree-based learning algorithms

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based on

ValueTrustConfidenceFreshnessSources
gradient boostingUnverifiedHighFresh1
decision treesUnverifiedHighFresh1
gradient boosting decision treesUnverifiedHighFresh1

pricing model

ValueTrustConfidenceFreshnessSources
freeUnverifiedHighFresh1

integrates with

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PythonUnverifiedHighFresh1
PandasUnverifiedHighFresh1
RUnverifiedHighFresh1
scikit-learnUnverifiedHighFresh1
Jupyter NotebookUnverifiedHighFresh1

primary use case

ValueTrustConfidenceFreshnessSources
gradient boosting frameworkUnverifiedHighFresh1
fast gradient boosting for large-scale tabular dataUnverifiedHighFresh1

supports model

ValueTrustConfidenceFreshnessSources
regressionUnverifiedHighFresh1
binary classificationUnverifiedHighFresh1
multiclass classificationUnverifiedHighFresh1

license type

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MIT LicenseUnverifiedHighFresh1
MITUnverifiedHighFresh1

alternative to

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XGBoostUnverifiedHighFresh1

open source

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trueUnverifiedHighFresh1

developed by

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MicrosoftUnverifiedHighFresh1

maintained by

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MicrosoftUnverifiedHighFresh1

competes with

ValueTrustConfidenceFreshnessSources
XGBoostUnverifiedHighFresh1
CatBoostUnverifiedHighFresh1

api compatible with

ValueTrustConfidenceFreshnessSources
scikit-learnUnverifiedHighFresh1

requires

ValueTrustConfidenceFreshnessSources
C++ compilerUnverifiedModerateFresh1

supports protocol

ValueTrustConfidenceFreshnessSources
JSONUnverifiedModerateFresh1

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Claim count: 25Last updated: 4/10/2026Edit history