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JOSS: https://github.com/Edinburgh-Imaging/Masks2Metrics

Score: 2.8903717578961645

Last synced: about 5 hours ago
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Repository metadata:

M2M is a matlab code to compute volume, surface, thickness from 2 manually traced masks (binary data)


Owner metadata:


GitHub Events

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Last Year

Committers metadata

Last synced: 6 months ago

Total Commits: 127
Total Committers: 3
Avg Commits per committer: 42.333
Development Distribution Score (DDS): 0.063

Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
smikhael s****l 119
Cyril Pernet c****t@e****k 5
Edinburgh Imaging i****c@e****k 3

Issue and Pull Request metadata

Last synced: 8 months ago

Total issues: 2
Total pull requests: 0
Average time to close issues: about 22 hours
Average time to close pull requests: N/A
Total issue authors: 1
Total pull request authors: 0
Average comments per issue: 2.5
Average comments per pull request: 0
Merged pull request: 0
Bot issues: 0
Bot pull requests: 0

Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/Edinburgh-Imaging/Masks2Metrics

Top Issue Authors

  • Kevin-Mattheus-Moerman (2)

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