active 2023-08-16 → 2023-10-19 (UTC)
Partial coverage20,534 / 26,290 hourly files (78%) · 2 absent upstream · 5,753 failed, retryable2023-08-15 → 2026-08-14 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
96
Pushes
11
Pull requests
6
Issues
4
Stars
0
Forks
0
Activity over time
Daily event counts in the loaded window
Line chart, 65 days from 2023-08-16 to 2023-10-19. Pushes: 11 total, peak 4 in a day. Pull requests: 6 total, peak 6 in a day. Issues: 4 total, peak 3 in a day. Comments: 52 total, peak 18 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| MikeLippincott | 47 | 11 | 6 | 13 |
| d33bs | 45 | 0 | 0 | 38 |
| review-notebook-app[bot] | 1 | 0 | 0 | 1 |
Recent activity
Latest issues, pull requests and releases
- Issue#10MikeLippincott2023-10-06 15:12Add pytest-mpl support for tests
- Issue#7MikeLippincott2023-09-08 03:00Add Variable `Image_name` column names in functions
- Issue#6MikeLippincott2023-09-08 01:44Could this data be generated as part of a [`pytest fixture`](https://docs.pytest.org/en/latest/explanation/fixtures.html), making the sample data more dynamic in nature? Doing this might help adjust the test data over time without having to change the CSV in the repo. It also might open the project up to greater testing potential with randomized data (random for each test run).
- Issue#5MikeLippincott2023-09-08 01:28Add CLI support
- Pull request#3MikeLippincott2023-08-16 21:40
- Issue comment#4review-notebook-app[bot]2023-08-16 21:39added back to repo
- Pull request#4MikeLippincott2023-08-16 21:39
- Pull request#3MikeLippincott2023-08-16 21:32
- Pull request#2MikeLippincott2023-08-16 21:24
- Pull request#2MikeLippincott2023-08-16 21:23
- Pull request#1MikeLippincott2023-08-16 20:56
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.