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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: 24.733783266324508

Last synced: 1 day 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: 3 days ago

Total Commits: 1,676
Total Committers: 62
Avg Commits per committer: 27.032
Development Distribution Score (DDS): 0.551

Commits in past year: 84
Committers in past year: 13
Avg Commits per committer in past year: 6.462
Development Distribution Score (DDS) in past year: 0.405

Name Email Commits
ConnectedSystems t****i@g****m 753
Will Usher w****r@u****k 383
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
Dresden d****6@g****m 12
21574081 6****1 11
Sebastian Schmitt s****t@k****e 10
Calvin Whealton c****4@c****u 10
Simon van Lierde s****e@g****m 8
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
Ankur Sinha (Ankur Sinha Gmail) s****r@g****m 2
Anbazhagan Subramaniyan m****8@e****g 2
and 32 more...

Issue and Pull Request metadata

Last synced: 3 days ago

Total issues: 132
Total pull requests: 135
Average time to close issues: 7 months
Average time to close pull requests: 3 months
Total issue authors: 88
Total pull request authors: 39
Average comments per issue: 4.01
Average comments per pull request: 2.15
Merged pull request: 107
Bot issues: 0
Bot pull requests: 2

Past year issues: 16
Past year pull requests: 31
Past year average time to close issues: 2 months
Past year average time to close pull requests: about 1 month
Past year issue authors: 10
Past year pull request authors: 13
Past year average comments per issue: 1.94
Past year average comments per pull request: 1.61
Past year merged pull request: 23
Past year bot issues: 0
Past year bot pull requests: 2

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

Top Issue Authors

  • ConnectedSystems (22)
  • willu47 (8)
  • tupui (6)
  • Rishitha-28 (3)
  • simonvanlierde (3)
  • jennywang123 (2)
  • WangYuNeng (2)
  • TobiasKAndersen (2)
  • JoCook1997 (2)
  • chahank (2)
  • arkanoid87 (2)
  • morrowcj (2)
  • ddebnath-nrel (1)
  • MarAlder (1)
  • AtishnalChand (1)

Top Pull Request Authors

  • ConnectedSystems (46)
  • tupui (19)
  • eyyarbasi (7)
  • simonvanlierde (6)
  • DresdenGman (6)
  • willu47 (4)
  • musicinmybrain (4)
  • sahin-abdullah (3)
  • AnbazhaganS (3)
  • dependabot[bot] (2)
  • sapunyangkut (2)
  • leonardoobaptistaa (2)
  • joaoantoniocardoso (2)
  • singhravi1 (2)
  • jornbr (2)

Top Issue Labels

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

Top Pull Request Labels

  • documentation (16)
  • clean up/maintenance (16)
  • enhancement (14)
  • bug (10)
  • add_method (2)
  • in progress (2)
  • python (2)
  • dependencies (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
  • Latest release: 1.6.0 (published about 2 months ago)
  • Last Synced: 2026-11-11T15:01:08.497Z (3 days ago)
  • Versions: 51
  • Dependent Packages: 19
  • Dependent Repositories: 64
  • Downloads: 430,066 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)
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

proxy.golang.org: github.com/SALib/SALib

  • Homepage:
  • Documentation: https://pkg.go.dev/github.com/SALib/SALib#section-documentation
  • Licenses: mit
  • Latest release: v1.6.0 (published about 2 months ago)
  • Last Synced: 2026-11-11T15:01:22.994Z (3 days ago)
  • Versions: 50
  • 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: v1.6.0 (published about 2 months ago)
  • Last Synced: 2026-11-11T15:01:24.683Z (3 days ago)
  • Versions: 50
  • 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 about 4 years ago)
  • Last Synced: 2026-03-19T17:25:54.693Z (8 months 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 about 1 year ago)
  • Last Synced: 2026-10-14T08:26:07.875Z (about 1 month 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: 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-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: 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 conda
  • hatch
  • matplotlib >=3.5
  • numpy >=2.0
  • numpydoc
  • pandas >=2.0
  • pathos >=0.3.2
  • pip
  • pre-commit
  • pydata-sphinx-theme >=0.15.2
  • pytest
  • pytest-cov
  • scipy >=1.9.3
  • sphinx