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Project comparison
BentoML vs Airflow
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
BentoML
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
8.6K
Stars
+13
Weekly
58/100
Health
Airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
45.4K
Stars
0
Weekly
71/100
Health
Quick Take
Adoption
Airflow has the larger GitHub footprint with 45.4K stars.
Momentum
BentoML is currently growing faster at +13 stars this week.
Maintenance
Airflow has the stronger health score at 71/100.
Side-by-side Metrics
| Signal | BentoML | Airflow |
|---|---|---|
| GitHub stars | 8.6K | 45.4K |
| Weekly growth | +13 | 0 |
| Health score | 58 | 71 |
| Contributors | 236 | 4.4K |
| Commits per week | 2.5 | 181.2 |
| Open issues | 142 | 1.7K |
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last commit | 5d ago | 15h ago |
| Last release | v1.4.39 | helm-chart/1.21.0 |
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