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Project comparison
Awesome Production Machine Learning vs Airflow
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Awesome Production Machine Learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
20.5K
Stars
0
Weekly
43/100
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
Awesome Production Machine Learning is currently growing faster at 0 stars this week.
Maintenance
Airflow has the stronger health score at 71/100.
Side-by-side Metrics
| Signal | Awesome Production Machine Learning | Airflow |
|---|---|---|
| GitHub stars | 20.5K | 45.4K |
| Weekly growth | 0 | 0 |
| Health score | 43 | 71 |
| Contributors | 203 | 4.4K |
| Commits per week | 1.6 | 181.2 |
| Open issues | 22 | 1.7K |
| Language | N/A | Python |
| License | MIT | Apache-2.0 |
| Last commit | 23h ago | 15h ago |
| Last release | release-2026-05-01 | helm-chart/1.21.0 |
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