Project comparison
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Best matched with other framework tools.
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
Best matched with other framework tools.
Awesome Scalability has the larger GitHub footprint with 72.6K stars.
Awesome Scalability is currently growing faster at +1.6K stars this week.
Xgboost has the stronger automated maintenance signal at 59/100. This is not a security or fit verdict.
Use these signals to narrow your choice, then confirm setup, license, and fit upstream.
| Signal | Xgboost | Awesome Scalability |
|---|---|---|
| Evidence status | Basic listing· 2d ago | Basic listing· 2d ago |
| GitHub stars | 28.6K | 72.6K |
| Weekly growth | +227 | +1.6K |
| Health score | Watch59/100 |
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| Contributors | 692 | 29 |
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| Commits per week | 6.8 | 0.0 |
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| Open issues | 431 | 26 |
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| Language | C++ | N/A |
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| License | Apache-2.0 | MIT |
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| Last commit | 2d ago | 6mo ago |
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| Last release | v3.3.0 | N/A |
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