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JOSS: https://github.com/lmiconsulting/cosasi/

cyber disease-simulation epidemics graph-algorithms graph-theory message-passing network-analysis network-science python

Score: 1.9459101490553132

Last synced: about 13 hours ago
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Repository metadata:

COntagion Simulation And Source Identification: a Python package for graph diffusion source inference


Owner metadata:


GitHub Events

Total
Last Year

Committers metadata

Last synced: about 2 months ago

Total Commits: 24
Total Committers: 1
Avg Commits per committer: 24.0
Development Distribution Score (DDS): 0.0

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
Lucas l****e@g****m 24

Issue and Pull Request metadata

Last synced: about 2 months ago

Total issues: 2
Total pull requests: 3
Average time to close issues: 3 days
Average time to close pull requests: 7 minutes
Total issue authors: 2
Total pull request authors: 1
Average comments per issue: 11.5
Average comments per pull request: 0.0
Merged pull request: 2
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/lmiconsulting/cosasi/

Top Issue Authors

  • sara-02 (1)

Top Pull Request Authors

  • danielskatz (3)

Top Issue Labels

Top Pull Request Labels


Dependencies

requirements.txt pypi
  • coverage ==6.3.2
  • ndlib ==5.1.1
  • networkx ==2.8.4
  • numpy ==1.20.1
  • pytest ==7.1.1
  • scikit_learn ==1.1.2
  • scipy ==1.9.0
  • six ==1.16.0
docs/requirements.txt pypi
  • coverage ==6.3.2
  • ndlib ==5.1.1
  • networkx ==2.8.7
  • numpy ==1.21.4
  • numpydoc *
  • pydata_sphinx_theme ==0.8.1
  • pytest ==7.1.1
  • scikit_learn ==1.1.2
  • scipy ==1.9.3
  • six ==1.16.0
  • sphinx-press-theme *
  • sphinx_automodapi ==0.12
setup.py pypi