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Project comparison
MLflow vs BentoML
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
MLflow
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
Best matched with other platform tools.
25.9K
Stars
+129
Weekly
83/100
Health
BentoML
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
Best matched with other platform tools.
8.6K
Stars
+13
Weekly
53/100
Health
Quick Take
Adoption
MLflow has the larger GitHub footprint with 25.9K stars.
Momentum
MLflow is currently growing faster at +129 stars this week.
Maintenance
MLflow has the stronger automated maintenance signal at 83/100. This is not a security or fit verdict.
Side-by-side evidence
Use these signals to narrow your choice, then confirm setup, license, and fit upstream.
| Signal | MLflow | BentoML |
|---|---|---|
| Evidence status | Basic listing· 1d ago | Basic listing· 1d ago |
| GitHub stars | 25.9K | 8.6K |
| Weekly growth | +129 | +13 |
| Health score | Strong83/100 |
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