Awesome.Python.2x.540p.mp4
This project offers a comprehensive analysis of repositories curated in the list found at awesome-python. You can access the live deployment at awesome-python-repo-stats, with daily updates to keep you informed.
You can get the full stars history of that list here.
Please note that only the repos in the list on GitHub are analysed.
Moreover, I believe the metrics under consideration are overly centered on stars. Although stars are a widely accepted measure of a repository's popularity, they do not singularly define the overall quality or merit of a project.
| Field | Description |
|---|---|
| Stars | Total stars up to the latest update |
| Days last commit | Number of days since the last commit, 0 indicates at least one commit in the last day |
| Days last star | Number of days since the last star, a value of 0 indicates that the repository received at least one star within the last day |
| Stars last 30d | Number of new stars in the last 30 days |
| Stars last 7d | Number of new stars in the last 7 days |
| New Stars 30d ‰ | New stars in the last 30 days / Total Stars |
| Commits 30d | Number of new commits in the last 30 days |
| Commits Authors 30d | Number of unique authors in the last 30 days commits |
| Ment. users | Mentionable users |
| Direct deps | Number of direct dependencies found (might not work for all repos) |
| Created days ago | Number of days since repo creation |
| Archived | Archived status od the project, if true the project has been archived |
| Stars Timeline 30d | Link to a page with the daily new stars in the last 30 days |