Open Source
XGBoost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more.
Our verdict
We have not reviewed XGBoost 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.
From the listing
About XGBoost
XGBoost is a gradient boosting library that trains decision tree ensembles for classification, regression, and ranking tasks. It runs on single machines or distributed systems like Spark, Hadoop, and Dask, with bindings for Python, R, Java, Scala, and C++.
Best for
Data scientists and ML engineers building production models on structured datasets.
Use cases
- Building high-accuracy predictive models for tabular data
- Training models at scale across distributed clusters
- Competing in machine learning competitions
Notes
28,431 stars on GitHub. Last updated 2026-05-28. Licensed Apache-2.0.
Pros
- Consistently outperforms other gradient boosting implementations on structured data
- Handles both single-machine and distributed training without code changes
- Mature ecosystem with extensive documentation and community support
Cons
- Requires careful hyperparameter tuning to avoid overfitting
- Slower than simpler models for real-time inference on resource-constrained devices
- Works best on tabular data, not designed for images or text
Key facts
What we have checked
- Latest version
- 3.3.1 (released 15 Sept 2026)
- GitHub stars
- 28,795
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 XGBoost is growing
28,431 to 28,795
Alternatives
Alternatives to XGBoost
| Record | Type | How we know | Checked |
|---|---|---|---|
| LightGBMAlternative to this | Open source | Named in the listing | Not dated |
| scikit-learnThis is an alternative to it | Open source | Named in the listing | Not dated |
Compare
Compare XGBoost side by side
Sources
Where this comes from
- GitHubOfficial
- github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry
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
Released 3.3.1
Released 3.4.2
Released 3.4.1
Released 3.4.0
Released 3.3.0
Released 3.2.0
Released 3.1.3
Released 3.1.2
Released 3.1.1
Released 3.1.0
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