GitHub / acerbilab/pyvbmc committers
PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
Last synced: about 3 hours ago
Total Commits: 320
Total Committers: 6
Total Bot Commits: 15
Total Bot Committers: 1
Avg Commits per committer: 53.333
Development Distribution Score (DDS): 0.528
Total Committers: 6
Total Bot Commits: 15
Total Bot Committers: 1
Avg Commits per committer: 53.333
Development Distribution Score (DDS): 0.528
Commits in the past year: 10
Committers in the past year: 1
Bot Commits in the past year: 10
Bot Committers in the past year: 1
Avg Commits per committer in the past year: 10.0
Development Distribution Score (DDS) in the past year: 0.0
Committers in the past year: 1
Bot Commits in the past year: 10
Bot Committers in the past year: 1
Avg Commits per committer in the past year: 10.0
Development Distribution Score (DDS) in the past year: 0.0
More repo stats: https://repos.ecosyste.ms/hosts/GitHub/repositories/acerbilab/pyvbmc
View commits: View all commits
JSON API: https://commits.ecosyste.ms/api/v1/hosts/GitHub/repositories/acerbilab%2Fpyvbmc
| Name | Commits | |
|---|---|---|
| Marlon Tobaben | 2****s | 151 |
| Bobby-Huggins | 7****s | 69 |
| Luigi Acerbi | l****i@g****m | 49 |
| pipme | 3****e | 33 |
| dependabot[bot] 🤖 | 4****] | 15 |
| Mikko Aarnos | m****s@g****m | 3 |
Excludes empty and merge commits.
| Name | Commits | |
|---|---|---|
| dependabot[bot] 🤖 | 4****] | 10 |
Committers in the past year are calculated by looking at the last 365 days of commits. Excludes empty and merge commits.