GitHub / simonprovost/scikit-longitudinal committers
☂️ Scikit-longitudinal (Sklong) is an open-source Python library & Scikit-Learn API compliant, tailored to longitudinal machine learning classification tasks. It is ideal for researchers, data scientists, and analysts, as it provides specialist tools for dealing with repeated-measures data challenges
Last synced: 24 days ago
Total Committers: 2
Total Bot Commits: 0
Total Bot Committers: 0
Avg Commits per committer: 87.0
Development Distribution Score (DDS): 0.098
Committers in the past year: 1
Bot Commits in the past year: 0
Bot Committers in the past year: 0
Avg Commits per committer in the past year: 52.0
Development Distribution Score (DDS) in the past year: 0.0
More repo stats: https://repos.ecosyste.ms/hosts/GitHub/repositories/simonprovost/scikit-longitudinal
JSON API: https://commits.ecosyste.ms/api/v1/hosts/GitHub/repositories/simonprovost%2Fscikit-longitudinal
| Name | Commits | |
|---|---|---|
| Provost Simon | s****t@e****u | 157 |
| sgp28 | s****v@g****n | 17 |
Excludes empty and merge commits.
| Name | Commits | |
|---|---|---|
| Provost Simon | s****t@e****u | 52 |
Committers in the past year are calculated by looking at the last 365 days of commits. Excludes empty and merge commits.