← Back to Leaderboard
Project comparison
Marimo vs Airflow
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Marimo
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
20.9K
Stars
0
Weekly
72/100
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
Marimo is currently growing faster at 0 stars this week.
Maintenance
Marimo has the stronger health score at 72/100.
Side-by-side Metrics
| Signal | Marimo | Airflow |
|---|---|---|
| GitHub stars | 20.9K | 45.4K |
| Weekly growth | 0 | 0 |
| Health score | 72 | 71 |
| Contributors | 283 | 4.4K |
| Commits per week | 55.3 | 181.2 |
| Open issues | 607 | 1.7K |
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last commit | 15h ago | 15h ago |
| Last release | 0.23.6 | helm-chart/1.21.0 |
Weekly AI open-source movers
Get the fastest-growing projects, useful MCP servers, and technical reads in one weekly email.