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Project comparison
Airflow vs Made With ML
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
45.4K
Stars
0
Weekly
71/100
Health
Made With ML
Learn how to develop, deploy and iterate on production-grade ML applications.
47.6K
Stars
0
Weekly
36/100
Health
Quick Take
Adoption
Made With ML has the larger GitHub footprint with 47.6K stars.
Momentum
Airflow is currently growing faster at 0 stars this week.
Maintenance
Airflow has the stronger health score at 71/100.
Side-by-side Metrics
| Signal | Airflow | Made With ML |
|---|---|---|
| GitHub stars | 45.4K | 47.6K |
| Weekly growth | 0 | 0 |
| Health score | 71 | 36 |
| Contributors | 4.4K | 1 |
| Commits per week | 181.2 | 0.1 |
| Open issues | 1.7K | 25 |
| Language | Python | Jupyter Notebook |
| License | Apache-2.0 | MIT |
| Last commit | 1mo ago | 3mo ago |
| Last release | helm-chart/1.21.0 | v1.1.0 |
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