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JOSS: https://github.com/Nance-Lab/diff_classifier

Score: 4.189654742026425

Last synced: about 21 hours ago
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Repository metadata:

This project aims to take existing analyses of nanoparticle diffusion that I have worked on previously and expand the analysis to additional features.


Owner metadata:


GitHub Events

Total
Last Year

Committers metadata

Last synced: 7 months ago

Total Commits: 420
Total Committers: 6
Avg Commits per committer: 70.0
Development Distribution Score (DDS): 0.167

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
Chad Curtis c****7@u****u 350
Nels Schimek n****m@u****u 38
arokem a****m@g****m 18
Scott Sievert d****v@s****m 8
dependabot[bot] 4****] 5
zeelabuser z****r@z****l 1

Issue and Pull Request metadata

Last synced: 8 months ago

Total issues: 19
Total pull requests: 36
Average time to close issues: 13 days
Average time to close pull requests: 2 months
Total issue authors: 3
Total pull request authors: 5
Average comments per issue: 3.68
Average comments per pull request: 0.5
Merged pull request: 25
Bot issues: 0
Bot pull requests: 8

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/Nance-Lab/diff_classifier

Top Issue Authors

  • stsievert (11)
  • ccurtis7 (6)
  • hugopontess (2)

Top Pull Request Authors

  • dependabot[bot] (12)
  • nlsschim (10)
  • arokem (9)
  • ccurtis7 (8)
  • stsievert (4)

Top Issue Labels

Top Pull Request Labels

  • dependencies (12)

Dependencies

notebooks/sensitivity/cloudknot_docker_sensitivity_it_idmys5cl/Dockerfile docker
  • arokem/python3-fiji 0.3 build
notebooks/sensitivity/cloudknot_docker_sensitivity_it_k3ng5_13/Dockerfile docker
  • arokem/python3-fiji 0.3 build
notebooks/sensitivity/cloudknot_docker_sensitivity_it_idmys5cl/requirements.txt pypi
  • boto3 ==1.5.28
  • cloudpickle ==0.5.2
  • matplotlib ==2.2.0
  • numpy ==1.22.0
  • pandas ==0.22.0
  • scipy ==1.0.0
  • shapely ==1.6.4.post1
notebooks/sensitivity/cloudknot_docker_sensitivity_it_k3ng5_13/requirements.txt pypi
  • boto3 ==1.5.28
  • cloudpickle ==0.5.2
  • matplotlib ==2.2.0
  • numpy ==1.22.0
  • pandas ==0.22.0
  • scipy ==1.0.0
  • shapely ==1.6.4.post1
requirements.txt pypi
  • Shapely *
  • boto3 *
  • coverage ==4.5.2
  • coveralls *
  • fijibin *
  • imglyb ==2.0.1
  • ipywidgets ==7.7.0
  • itk ==5.2.0
  • itkwidgets ==0.32.0
  • jgo ==1.0.3
  • jpype1 ==1.3.0
  • jupyter-contrib-nbextensions ==0.5.1
  • napari ==0.4.15
  • notebook ==6.4.11
  • numpy ==1.22.3
  • numpydoc *
  • pandas *
  • pyimagej ==1.2.1
  • pytest ==4.1.0
  • scikit-image ==0.19.2
  • scyjava ==1.5.1
  • seaborn *
  • shapely *
  • sklearn *