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 | Awesome-pytorch-listFind PyTorch Libraries, Tutorials, and Papers | pytorch-deep-learningLearn PyTorch Through Hands-On Courses |
|---|---|---|
| Status | Maintained | Maintained |
| Health score | 36/100 | 42/100best |
| Activity (percentile) | 29 | 32best |
| Community (percentile) | 51 | 51 |
| Issues (percentile) | 21 | 39best |
| Pull requests (percentile) | 44 | 47best |
| Stars | 16,715 | 19,258best |
| Stars gained | +20 in 16 days | +109 in 16 daysbest |
| Forks | 2,844 | 5,221best |
| Commits, last 90 days | 1 | 4best |
| Releases, last 12 months | 0 | 0 |
| Contributors | 76best | 61 |
| Commits by top contributor | 87% | 85%best |
| Issues closed, last 90 days | 0 | 9best |
| Median days to close an issue | — | 326 |
| Pull requests merged, last 90 days | 1 | 2best |
| Language | — | 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.