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JOSS: https://github.com/replicahealth/GluPredKit

deep-learning glucose-prediction machine-learning modelling-biological-systems

Score: 5.3230099791384085

Last synced: about 9 hours ago
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Repository metadata:

GluPredKit aims to make blood glucose model training and prediction more accessible.


Owner metadata:


GitHub Events

Total
Last Year

Committers metadata

Last synced: 5 days ago

Total Commits: 100
Total Committers: 5
Avg Commits per committer: 20.0
Development Distribution Score (DDS): 0.26

Commits in past year: 22
Committers in past year: 3
Avg Commits per committer in past year: 7.333
Development Distribution Score (DDS) in past year: 0.5

Name Email Commits
Miriam K. Wolff m****f@h****m 74
github-actions g****s@g****m 21
PorkShoulderHolder s****n@g****m 3
Vol'jum 3****t 1
Lorenzo Sandini l****i@g****m 1

Issue and Pull Request metadata

Last synced: 10 days ago

Total issues: 26
Total pull requests: 32
Average time to close issues: 3 months
Average time to close pull requests: 10 days
Total issue authors: 2
Total pull request authors: 4
Average comments per issue: 0.65
Average comments per pull request: 0.19
Merged pull request: 29
Bot issues: 0
Bot pull requests: 0

Past year issues: 1
Past year pull requests: 3
Past year average time to close issues: N/A
Past year average time to close pull requests: 14 days
Past year issue authors: 1
Past year pull request authors: 2
Past year average comments per issue: 0.0
Past year average comments per pull request: 0.0
Past year merged pull request: 2
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/replicahealth/GluPredKit

Top Issue Authors

  • miriamkw (23)
  • PorkShoulderHolder (3)

Top Pull Request Authors

  • miriamkw (24)
  • PorkShoulderHolder (6)
  • lsandini (1)
  • voljumet (1)

Top Issue Labels

  • bug (2)

Top Pull Request Labels


Dependencies

pyproject.toml pypi
requirements.txt pypi
  • aiohttp *
  • click *
  • dill *
  • error-grids *
  • keras-tcn *
  • matplotlib >=3.6.3
  • numpy *
  • pandas >=1.5.3
  • python-nightscout *
  • scikit-learn *
  • tensorflow *
  • tidepool-data-science-project *
  • xgboost *
setup.py pypi
  • aiohttp *
  • click *
  • dill *
  • error-grids *
  • keras-tcn *
  • matplotlib >=3.6.3
  • numpy *
  • pandas >=1.5.3
  • python-nightscout *
  • scikit-learn *
  • tensorflow *
  • tidepool-data-science-project *
  • xgboost *