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JOSS: https://github.com/mortonne/psifr

episodic-memory psychology python visualization

Score: 6.939253946041507

Last synced: about 24 hours ago
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Repository metadata:

Psifr: Analysis and visualization of free recall data


Owner metadata:


GitHub Events

Total
Last Year

Committers metadata

Last synced: 3 days ago

Total Commits: 716
Total Committers: 1
Avg Commits per committer: 716.0
Development Distribution Score (DDS): 0.0

Commits in past year: 25
Committers in past year: 1
Avg Commits per committer in past year: 25.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
Neal Morton m****e@g****m 716

Issue and Pull Request metadata

Last synced: 15 days ago

Total issues: 12
Total pull requests: 6
Average time to close issues: 4 months
Average time to close pull requests: 3 minutes
Total issue authors: 4
Total pull request authors: 1
Average comments per issue: 2.08
Average comments per pull request: 0.17
Merged pull request: 6
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/mortonne/psifr

Top Issue Authors

  • paxtonfitzpatrick (6)
  • mortonne (3)
  • samhforbes (2)
  • githubpsyche (1)

Top Pull Request Authors

  • mortonne (6)

Top Issue Labels

  • enhancement (1)
  • bug (1)
  • good first issue (1)

Top Pull Request Labels


Package metadata

pypi.org: psifr

Psifr: Analysis and visualization of free recall data

  • Homepage:
  • Documentation: https://psifr.readthedocs.io/
  • Licenses: GPL-3.0-or-later
  • Latest release: 0.10.1 (published 9 months ago)
  • Last Synced: 2026-06-20T22:00:30.813Z (3 days ago)
  • Versions: 19
  • Dependent Packages: 0
  • Dependent Repositories: 2
  • Downloads: 83 Last month
  • Rankings:
    • Dependent packages count: 10.082%
    • Dependent repos count: 11.564%
    • Average: 23.049%
    • Downloads: 47.502%
  • Maintainers (1)