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Project comparison
Made With ML vs CLIP
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
Made With ML
Learn how to develop, deploy and iterate on production-grade ML applications.
47.6K
Stars
0
Weekly
36/100
Health
CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
33.5K
Stars
0
Weekly
41/100
Health
Quick Take
Adoption
Made With ML has the larger GitHub footprint with 47.6K stars.
Momentum
Made With ML is currently growing faster at 0 stars this week.
Maintenance
CLIP has the stronger health score at 41/100.
Side-by-side Metrics
| Signal | Made With ML | CLIP |
|---|---|---|
| GitHub stars | 47.6K | 33.5K |
| Weekly growth | 0 | 0 |
| Health score | 36 | 41 |
| Contributors | 1 | 23 |
| Commits per week | 0.1 | 0.2 |
| Open issues | 25 | 273 |
| Language | Jupyter Notebook | Jupyter Notebook |
| License | MIT | MIT |
| Last commit | 2mo ago | 1mo ago |
| Last release | v1.1.0 | N/A |
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