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Project comparison
CLIP vs Deepspeed
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
33.5K
Stars
0
Weekly
41/100
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
CLIP is currently growing faster at 0 stars this week.
Maintenance
Deepspeed has the stronger health score at 63/100.
Side-by-side Metrics
| Signal | CLIP | Deepspeed |
|---|---|---|
| GitHub stars | 33.5K | 42.3K |
| Weekly growth | 0 | 0 |
| Health score | 41 | 63 |
| Contributors | 23 | 458 |
| Commits per week | 0.2 | 6.0 |
| Open issues | 273 | 1.3K |
| Language | Jupyter Notebook | Python |
| License | MIT | Apache-2.0 |
| Last commit | 1mo ago | 19h ago |
| Last release | N/A | v0.19.0 |
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