Python script capable of detecting anomalies in a continuous data stream. This stream, simulating real-time sequences of floating-point numbers, could represent various metrics such as financial transactions or system metrics. Your focus will be on identifying unusual patterns, such as exceptionally high values or deviations from the norm
active 2024-09-12 → 2025-02-23 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 165 days from 2024-09-12 to 2025-02-23. Pushes: 7 total, peak 5 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 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 |
|---|---|---|---|---|
| juanmagdev | 7 | 7 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.