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Project comparison
Awesome Production Machine Learning vs Deepspeed
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
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
Deepspeed has the larger GitHub footprint with 42.3K stars.
Momentum
Awesome Production Machine Learning is currently growing faster at 0 stars this week.
Maintenance
Deepspeed has the stronger health score at 63/100.
Side-by-side Metrics
| Signal | Awesome Production Machine Learning | Deepspeed |
|---|---|---|
| GitHub stars | 20.5K | 42.3K |
| Weekly growth | 0 | 0 |
| Health score | 43 | 63 |
| Contributors | 203 | 458 |
| Commits per week | 1.6 | 6.0 |
| Open issues | 22 | 1.3K |
| Language | N/A | Python |
| License | MIT | Apache-2.0 |
| Last commit | 23h ago | 19h ago |
| Last release | release-2026-05-01 | v0.19.0 |
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