Python package to calculate the weighted average with Bayesian methods
active 2024-04-20 → 2024-12-11 (UTC)
Complete coverage26,499 / 26,499 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-08-23 (UTC)
Events
28
Pushes
13
Pull requests
0
Issues
5
Stars
1
Forks
0
Activity over time
Daily event counts in the loaded window
Line chart, 236 days from 2024-04-20 to 2024-12-11. Pushes: 13 total, peak 5 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 5 total, peak 3 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 |
|---|---|---|---|---|
| martinit18 | 18 | 13 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue#5martinit182024-07-01 15:13Estimate the realistic value of error bars
- Issue#2martinit182024-05-04 11:26Make README compatible with doc in pypi
- Issue#4martinit182024-05-02 08:31put several findroots mode for searching for the maxima and alert if there are more than one maxima
- Issue#3martinit182024-05-02 07:51grammar check of all documentation
- Issue#1martinit182024-05-02 07:42provide probability distribution as output
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.