Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
active 2023-11-11 → 2024-12-04 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 390 days from 2023-11-11 to 2024-12-04. Pushes: 2 total, peak 2 in a day. Pull requests: 5 total, peak 3 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 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 |
|---|---|---|---|---|
| bubriks | 4 | 0 | 4 | 0 |
| SirOibaf | 2 | 2 | 0 | 0 |
| javierdlrm | 2 | 0 | 1 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#17bubriks2024-12-04 09:09
- Pull request#17bubriks2024-12-02 09:50
- Pull request#16bubriks2024-12-02 09:20
- Pull request#16bubriks2024-12-02 09:07
- Pull request#15javierdlrm2023-11-11 16:23
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.