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Project comparison
Xgboost vs Dify
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Xgboost
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
28.4K
Stars
0
Weekly
44/100
Health
Dify
Production-ready platform for agentic workflow development.
141.0K
Stars
+815
Weekly
97/100
Health
Quick Take
Adoption
Dify has the larger GitHub footprint with 141.0K stars.
Momentum
Dify is currently growing faster at +815 stars this week.
Maintenance
Dify has the stronger health score at 97/100.
Side-by-side Metrics
| Signal | Xgboost | Dify |
|---|---|---|
| GitHub stars | 28.4K | 141.0K |
| Weekly growth | 0 | +815 |
| Health score | 44 | 97 |
| Contributors | 686 | 1.3K |
| Commits per week | 8.4 | 124.9 |
| Open issues | 461 | 759 |
| Language | C++ | TypeScript |
| License | Apache-2.0 | NOASSERTION |
| Last commit | 1d ago | 16h ago |
| Last release | v3.2.0 | 1.14.0 |
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