The Churn Predictor app is designed to analyze customer data and predict churn risk. It helps businesses identify customers who are likely to leave and take proactive measures to retain them.
active 2024-08-17 → 2024-09-16 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 31 days from 2024-08-17 to 2024-09-16. Pushes: 42 total, peak 34 in a day. Pull requests: 23 total, peak 16 in a day. Issues: 0 total, peak 0 in a day. Comments: 1 total, peak 1 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 |
|---|---|---|---|---|
| Nfayem | 61 | 37 | 17 | 1 |
| worlakuma | 6 | 3 | 3 | 0 |
| IAmWangari | 5 | 2 | 3 | 0 |
Recent activity
Latest issues, pull requests and releases
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.