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JOSS: https://github.com/SALib/SALib

global-sensitivity-analysis joss morris numpy python salib sensitivity-analysis sensitivity-analysis-library sobol uncertainty uncertainty-quantification

Score: 24.28389697256278

Last synced: about 4 hours ago
JSON representation

Repository metadata:

Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.

Owner metadata:

GitHub Events

Total
Last Year

Committers metadata

Last synced: 4 days ago

Total Commits: 1,609
Total Committers: 54
Avg Commits per committer: 29.796
Development Distribution Score (DDS): 0.555

Commits in past year: 72
Committers in past year: 8
Avg Commits per committer in past year: 9.0
Development Distribution Score (DDS) in past year: 0.444

Name Email Commits
ConnectedSystems t****i@g****m 716
Will Usher w****r@u****k 382
jdherman j****8@g****m 173
Pamphile Roy r****e@g****m 68
Lucas Teixeira l****g@g****m 65
Abdullah Sahin s****i@g****m 36
Jan Kwakkel j****l@t****l 15
Nandi Moksnes n****s@g****m 13
Nicolas Cellier c****t@n****t 12
21574081 6****1 11
Sebastian Schmitt s****t@k****e 10
Calvin Whealton c****4@c****u 10
jdherman j****3@p****u 7
Martin m****d@g****m 7
Qian Wang q****n@h****n 5
simonmarwitz s****z@u****e 5
xantares x****9@h****m 5
Benjamin A. Beasley c****e@m****t 5
Joeri van Engelen j****n@d****l 5
David Hadka d****9@a****u 4
bernardoct b****2@c****u 4
zoidy z****y 4
Chris Mutel c****l@g****m 3
Jörg Buchwald j****d@u****e 3
TobiasKAndersen t****n@g****m 3
Efe Yarbasi e****i@g****m 3
Anbazhagan Subramaniyan m****8@e****g 2
Ankur Sinha (Ankur Sinha Gmail) s****r@g****m 2
Erik Cederstrand e****k@c****k 2
Marin Visscher m****r@c****l 2
and 24 more...

Issue and Pull Request metadata

Last synced: 8 days ago

Total issues: 118
Total pull requests: 109
Average time to close issues: 4 months
Average time to close pull requests: about 1 month
Total issue authors: 81
Total pull request authors: 30
Average comments per issue: 4.14
Average comments per pull request: 2.2
Merged pull request: 85
Bot issues: 0
Bot pull requests: 0

Past year issues: 11
Past year pull requests: 11
Past year average time to close issues: about 2 months
Past year average time to close pull requests: 25 days
Past year issue authors: 11
Past year pull request authors: 8
Past year average comments per issue: 4.18
Past year average comments per pull request: 2.91
Past year merged pull request: 8
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/SALib/SALib

Top Issue Authors

  • ConnectedSystems (17)
  • willu47 (8)
  • tupui (6)
  • Rishitha-28 (3)
  • TobiasKAndersen (2)
  • WangYuNeng (2)
  • JoCook1997 (2)
  • morrowcj (2)
  • chahank (2)
  • arkanoid87 (2)
  • jennywang123 (2)
  • ZSTanone (1)
  • edday1 (1)
  • AmosJoseph (1)
  • AtishnalChand (1)

Top Pull Request Authors

  • ConnectedSystems (41)
  • tupui (19)
  • eyyarbasi (7)
  • willu47 (4)
  • musicinmybrain (4)
  • sahin-abdullah (3)
  • AnbazhaganS (3)
  • leonardoobaptistaa (2)
  • singhravi1 (2)
  • joaoantoniocardoso (2)
  • jornbr (2)
  • Zapiano (2)
  • ritavdwalt (1)
  • DmitriyValetov (1)
  • NMoksnes (1)

Top Issue Labels

  • question (10)
  • enhancement (10)
  • documentation (8)
  • bug (7)
  • question_interpretation (4)
  • clean up/maintenance (2)
  • need_help (1)
  • in progress (1)
  • good_for_first_issue (1)

Top Pull Request Labels

  • documentation (16)
  • clean up/maintenance (15)
  • enhancement (14)
  • bug (9)
  • add_method (2)
  • in progress (2)

Package metadata

pypi.org: salib

Tools for global sensitivity analysis. Contains Sobol', Morris, FAST, DGSM, PAWN, HDMR, Moment Independent and fractional factorial methods

  • Homepage:
  • Documentation: https://salib.readthedocs.io
  • Licenses: MIT License
  • Latest release: 1.5.2 (published 6 months ago)
  • Last Synced: 2026-02-23T03:00:31.708Z (about 1 month ago)
  • Versions: 50
  • Dependent Packages: 19
  • Dependent Repositories: 64
  • Downloads: 230,081 Last month
  • Docker Downloads: 2,610
  • Rankings:
    • Dependent packages count: 0.448%
    • Downloads: 0.953%
    • Average: 1.082%
    • Dependent repos count: 1.845%
  • Maintainers (3)
proxy.golang.org: github.com/salib/salib

  • Homepage:
  • Documentation: https://pkg.go.dev/github.com/salib/salib#section-documentation
  • Licenses: mit
  • Latest release: v1.5.2 (published 6 months ago)
  • Last Synced: 2026-03-24T00:02:35.157Z (3 days ago)
  • Versions: 49
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent packages count: 5.421%
    • Average: 5.603%
    • Dependent repos count: 5.785%
proxy.golang.org: github.com/SALib/SALib

  • Homepage:
  • Documentation: https://pkg.go.dev/github.com/SALib/SALib#section-documentation
  • Licenses: mit
  • Latest release: v1.5.2 (published 6 months ago)
  • Last Synced: 2026-02-21T15:35:13.836Z (about 1 month ago)
  • Versions: 49
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent packages count: 5.421%
    • Average: 5.603%
    • Dependent repos count: 5.785%
conda-forge.org: salib

Python implementations of commonly used sensitivity analysis methods. Useful in systems modeling to calculate the effects of model inputs or exogenous factors on outputs of interest.

  • Homepage: http://salib.github.io/SALib/
  • Licenses: MIT
  • Latest release: 1.4.6 (published over 3 years ago)
  • Last Synced: 2026-03-19T17:25:54.693Z (8 days ago)
  • Versions: 11
  • Dependent Packages: 2
  • Dependent Repositories: 10
  • Downloads: 387,505 Total
  • Rankings:
    • Dependent repos count: 11.108%
    • Forks count: 12.401%
    • Average: 14.56%
    • Stargazers count: 15.126%
    • Dependent packages count: 19.607%
anaconda.org: salib

Python implementations of commonly used sensitivity analysis methods. Useful in systems modeling to calculate the effects of model inputs or exogenous factors on outputs of interest.

  • Homepage: https://github.com/SALib/SALib
  • Licenses: MIT
  • Latest release: 1.5.2 (published 5 months ago)
  • Last Synced: 2026-03-19T17:24:59.350Z (8 days ago)
  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 10
  • Downloads: 1,432 Total
  • Rankings:
    • Forks count: 22.35%
    • Stargazers count: 26.608%
    • Average: 34.635%
    • Dependent repos count: 38.387%
    • Dependent packages count: 51.193%
nixpkgs-24.11: python311Packages.salib

Python implementations of commonly used sensitivity analysis methods, useful in systems modeling to calculate the effects of model inputs or exogenous factors on outputs of interest

nixpkgs-unstable: python313Packages.salib

Python implementations of commonly used sensitivity analysis methods, useful in systems modeling to calculate the effects of model inputs or exogenous factors on outputs of interest

nixpkgs-24.11: python312Packages.salib

Python implementations of commonly used sensitivity analysis methods, useful in systems modeling to calculate the effects of model inputs or exogenous factors on outputs of interest

nixpkgs-unstable: python314Packages.salib

Python implementations of commonly used sensitivity analysis methods, useful in systems modeling to calculate the effects of model inputs or exogenous factors on outputs of interest

Dependencies

.github/workflows/lint.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
  • pre-commit/action v3.0.0 composite
.github/workflows/release.yaml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
.github/workflows/test.yml actions
  • actions/cache v3 composite
  • actions/checkout v3 composite
  • conda-incubator/setup-miniconda v2 composite
pyproject.toml pypi
  • matplotlib >=3.2.2
  • multiprocess *
  • numpy >=1.20.3
  • pandas >=1.2
  • scipy >=1.7.3
environment.yml pypi
  • myst_parser *