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 | DataScienceInteractivePythonLearn Data Science Through Dashboards | pytorch-deep-learningLearn PyTorch Through Hands-On Courses |
|---|---|---|
| Status | Quiet | Maintained |
| Health score | 19/100 | 42/100best |
| Activity (percentile) | 20 | 32best |
| Community (percentile) | 12 | 51best |
| Issues (percentile) | 21 | 39best |
| Pull requests (percentile) | 21 | 47best |
| Stars | 2,586 | 19,264best |
| Stars gained | +-1 in 17 days | +115 in 17 daysbest |
| Forks | 468 | 5,223best |
| Commits, last 90 days | 0 | 4best |
| Releases, last 12 months | 0 | 0 |
| Contributors | 2 | 61best |
| Commits by top contributor | 98% | 85%best |
| Issues closed, last 90 days | 0 | 9best |
| Median days to close an issue | — | 326 |
| Pull requests merged, last 90 days | 0 | 2best |
| Language | Jupyter Notebook | Jupyter Notebook |
| License | CC-BY-SA-4.0 | 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.