← Back to Leaderboard
Project comparison
Airflow vs Deepspeed
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
Deepspeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
42.3K
Stars
0
Weekly
63/100
Health
Quick Take
Adoption
Airflow has the larger GitHub footprint with 45.4K 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 | Deepspeed |
|---|---|---|
| GitHub stars | 45.4K | 42.3K |
| Weekly growth | 0 | 0 |
| Health score | 71 | 63 |
| Contributors | 4.4K | 458 |
| Commits per week | 181.2 | 6.0 |
| Open issues | 1.7K | 1.3K |
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last commit | 15h ago | 19h ago |
| Last release | helm-chart/1.21.0 | v0.19.0 |
Weekly AI open-source movers
Get the fastest-growing projects, useful MCP servers, and technical reads in one weekly email.