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JOSS: https://github.com/iagolemos1/thresholdmodeling

Score: 9.72913416539135

Last synced: about 14 hours ago
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Repository metadata:


GitHub Events

Total
Last Year

Committers metadata

Last synced: 8 months ago

Total Commits: 183
Total Committers: 4
Avg Commits per committer: 45.75
Development Distribution Score (DDS): 0.022

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
Iago Pereira Lemos l****3@g****m 179
Joshua Harrison j****a@c****y 2
Vince Knight v****t@g****m 1
Daniel S. Katz d****z@i****g 1

Issue and Pull Request metadata

Last synced: 10 months ago

Total issues: 9
Total pull requests: 3
Average time to close issues: 4 days
Average time to close pull requests: about 1 hour
Total issue authors: 5
Total pull request authors: 3
Average comments per issue: 4.44
Average comments per pull request: 0.33
Merged pull request: 3
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/iagolemos1/thresholdmodeling

Top Issue Authors

  • kellieotto (4)
  • bahung (2)
  • rjskene (1)
  • IanBurger (1)
  • andreowhite (1)

Top Pull Request Authors

  • drvinceknight (1)
  • JoshuaCrestone (1)
  • danielskatz (1)

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Package metadata

pypi.org: thresholdmodeling

This package is intended for those who wish to conduct an extreme values analysis. It provides the whole toolkit necessary to create a threshold model in a simple and efficient way, presenting the main methods towards the Peak-Over-Threshold Method and the fit in the Generalized Pareto Distribution. For installing and use it, go to https://github.com/iagolemos1/thresholdmodeling

  • Homepage: https://github.com/iagolemos1/thresholdmodeling
  • Documentation: https://thresholdmodeling.readthedocs.io/
  • Licenses: GNU General Public License (GPL)
  • Latest release: 0.0.1 (published over 6 years ago)
  • Last Synced: 2026-05-07T21:16:52.830Z (about 2 months ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 118 Last month
  • Rankings:
    • Forks count: 9.848%
    • Dependent packages count: 10.082%
    • Stargazers count: 11.545%
    • Average: 18.72%
    • Dependent repos count: 21.62%
    • Downloads: 40.505%
  • Maintainers (1)

Dependencies

requirements.txt pypi
  • matplotlib *
  • numpy *
  • pandas *
  • scipy *
  • thresholdmodeling *
setup.py pypi
  • matplotlib *
  • numpy *
  • rpy2 *
  • scipy *
  • seaborn *