Compare open source projects
Pick up to 4 projects from our catalog and see their health, activity and community side by side, measured the same way for every project. How we measure
| Measure | pytorch-deep-learningLearn PyTorch Through Hands-On Courses | notebooksLearn Computer Vision Models with Tutorials |
|---|---|---|
| Status | Maintained | Maintained |
| Health score | 42/100best | 39/100 |
| Activity (percentile) | 32best | 31 |
| Community (percentile) | 51 | 59best |
| Issues (percentile) | 39best | 21 |
| Pull requests (percentile) | 47best | 44 |
| Stars | 19,258best | 9,722 |
| Stars gained | +109 in 16 daysbest | +23 in 16 days |
| Forks | 5,221best | 1,497 |
| Commits, last 90 days | 4best | 3 |
| Releases, last 12 months | 0 | 0 |
| Contributors | 61best | 41 |
| Commits by top contributor | 85% | 62%best |
| Issues closed, last 90 days | 9best | 0 |
| Median days to close an issue | 326 | — |
| Pull requests merged, last 90 days | 2best | 1 |
| Language | Jupyter Notebook | Jupyter Notebook |
| License | MIT | — |
Counts go up to 100. "Best" marks the strongest value in a row when the projects differ; percentiles are among the projects we track.