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aimz: Scalable probabilistic impact modeling

aimz: Scalable probabilistic impact modeling - Published in JOSS (2026)

https://github.com/markean/aimz

Science Score: 87.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ○
    codemeta.json file
  • ○
    .zenodo.json file
  • ✓
    DOI references
    Found 1 DOI reference(s) in JOSS metadata
  • ○
    Academic links in README
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ✓
    JOSS paper metadata
    Published in Journal of Open Source Software
Last synced: about 2 months ago · JSON representation

JOSS Publication

aimz: Scalable probabilistic impact modeling
Published
April 23, 2026
DOI
Volume 11, Issue 120, Page 9738
Authors
Eunseop Kim ORCID
Eli Lilly and Company, United States
Editor
Richard Liu ORCID
Tags
JAX Bayesian inference uncertainty quantification probabilistic modeling high-performance computing
View PDF Review Thread Software Archive

Issues and Pull Requests

Last synced: 3 months ago

All Time
  • Total issues: 30
  • Total pull requests: 62
  • Average time to close issues: 8 days
  • Average time to close pull requests: 21 minutes
  • Total issue authors: 3
  • Total pull request authors: 2
  • Average comments per issue: 0.03
  • Average comments per pull request: 0.73
  • Merged pull requests: 52
  • Bot issues: 0
  • Bot pull requests: 4
Past Year
  • Issues: 30
  • Pull requests: 62
  • Average time to close issues: 8 days
  • Average time to close pull requests: 21 minutes
  • Issue authors: 3
  • Pull request authors: 2
  • Average comments per issue: 0.03
  • Average comments per pull request: 0.73
  • Merged pull requests: 52
  • Bot issues: 0
  • Bot pull requests: 4
View more stats
Top Authors
Issue Authors
  • markean (28)
  • vitrx887 (1)
  • DanWaxman (1)
Pull Request Authors
  • markean (58)
  • dependabot[bot] (4)
Top Labels
Issue Labels
enhancement (20) bug (3) documentation (2)
Pull Request Labels
github_actions (4) dependencies (4)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 166 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 13
  • Total maintainers: 1
pypi.org: aimz

Scalable probabilistic impact modeling

  • Versions: 13
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 166 Last month
Rankings
Dependent packages count: 8.9%
Average: 29.6%
Dependent repos count: 50.3%
Maintainers (1)
markean
Last synced: 2 months ago