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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

Our verdict

Not reviewed yet

We have not reviewed LightGBM yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About LightGBM

LightGBM is a gradient boosting framework written in C++ that trains decision tree ensembles for classification, regression, and ranking tasks. It uses leaf-wise tree growth and histogram-based learning to achieve fast training on large datasets with lower memory overhead than traditional gradient boosting.

Best for

Data scientists building production ML systems on large tabular datasets where training speed and memory efficiency matter.

Use cases

  • Training classification models on tabular data at scale
  • Building ranking systems for search and recommendation
  • Rapid prototyping of gradient boosting pipelines

Notes

18,416 stars on GitHub. Last updated 2026-06-01. Licensed MIT.

Pros

  • Significantly faster training speed than XGBoost on large datasets
  • Lower memory consumption through histogram-based learning
  • Supports distributed training across multiple machines

Cons

  • Leaf-wise growth can overfit on small datasets without careful tuning
  • Steeper learning curve for hyperparameter optimization compared to simpler models
  • Less mature ecosystem and fewer pre-built integrations than XGBoost

Key facts

What we have checked

Latest version
4.7.0 (released 18 July 2026)
Checked GitHub
GitHub stars
18,814
Checked github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Stars and usage

How LightGBM is growing

GitHub stars

18,416 to 18,814

stars. 12 July 2026 to 26 Sept 2026, 2 readings.

Source: github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438. Checked .

Alternatives

Alternatives to LightGBM

RecordTypeHow we knowChecked
XGBoostAlternative to thisOpen sourceNamed in the listingNot dated

Compare

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Sources

Where this comes from

  • GitHubOfficial

    Checked · Latest version

  • github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry

    Checked · GitHub stars

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

  1. Released 4.7.0

    Source: GitHub

  2. Released 4.6.0

    Source: GitHub

  3. Released 4.5.0

    Source: GitHub

  4. Released 4.4.0

    Source: GitHub

  5. Released 4.3.0

    Source: GitHub

  6. Released 4.2.0

    Source: GitHub

  7. Released 4.1.0

    Source: GitHub

  8. Released 4.0.0

    Source: GitHub

  9. Released 3.3.5

    Source: GitHub

  10. Released 3.3.4

    Source: GitHub

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

Pairs with10 entries
Used by6 entries
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