Python package to compute conditional and non-conditional causal effects.
active 2024-08-12 → 2024-08-13 (UTC)
Complete coverage26,605 / 26,605 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-08-27 (UTC)
Events
7
Pushes
0
Pull requests
0
Issues
4
Stars
1
Forks
0
Activity over time
Daily event counts in the loaded window
Line chart, 2 days from 2024-08-12 to 2024-08-13. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 4 total, peak 4 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 |
|---|---|---|---|---|
| hmhummel | 4 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue#4hmhummel2024-08-13 00:34Create sphinx documentation for `insert`
- Issue#3hmhummel2024-08-13 00:33Add simplification to `causaleffectpy`
- Issue#2hmhummel2024-08-13 00:32Create sphinx documentation for `join`
- Issue#1hmhummel2024-08-13 00:31Create sphinx documentation for `simplify`
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.