An open API service for producing an overview of a list of open source projects.

JOSS: https://github.com/arviz-devs/arviz

bayesian closember python

Score: 28.183166109102054

Last synced: about 8 hours ago
JSON representation

Repository metadata:

Exploratory analysis of Bayesian models with Python


Owner metadata:


GitHub Events

Total
Last Year

Committers metadata

Last synced: 1 day ago

Total Commits: 1,603
Total Committers: 194
Avg Commits per committer: 8.263
Development Distribution Score (DDS): 0.827

Commits in past year: 57
Committers in past year: 24
Avg Commits per committer in past year: 2.375
Development Distribution Score (DDS) in past year: 0.754

Name Email Commits
Osvaldo Martin a****a@g****m 277
Oriol Abril-Pla o****a@g****m 254
Ari Hartikainen a****n 248
Ravin Kumar r****e@g****m 154
Colin C****l 137
Rosheen Naeem r****4@g****m 49
Piyush Gautam g****s@g****m 28
Agustina Arroyuelo a****o@g****m 28
MFreidank f****m@y****e 16
rpgoldman r****n@g****g 16
Aniruddha Banerjea 2****e 15
Nitish Pasricha p****2@g****m 14
Seth Axen s****n@g****m 13
Rishabh Sanjay 4****8 12
Predrag Gruevski 2****i 12
Christine P. Chai s****p@g****m 11
Utkarsh Mahweshwari 3****i 9
Asael A Matamoros a****m@h****m 8
Du Phan f****i@g****m 8
Rob Zinkov z****x 8
AustinRochford a****d@m****m 7
amukh18 4****8 7
Volodymyr v****v@y****m 6
dependabot[bot] 4****] 6
Michael Osthege m****e@f****e 6
Mragank Shekhar m****9@b****n 6
Ero Carrera e****a@g****m 5
Marco Edward Gorelli m****i@p****m 5
Hector 2****z 5
Tomás Capretto t****o@g****m 5
and 164 more...

Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 180
Total pull requests: 323
Average time to close issues: 11 months
Average time to close pull requests: about 1 month
Total issue authors: 111
Total pull request authors: 81
Average comments per issue: 3.34
Average comments per pull request: 1.92
Merged pull request: 239
Bot issues: 0
Bot pull requests: 4

Past year issues: 25
Past year pull requests: 41
Past year average time to close issues: 23 days
Past year average time to close pull requests: 9 days
Past year issue authors: 19
Past year pull request authors: 23
Past year average comments per issue: 2.64
Past year average comments per pull request: 0.93
Past year merged pull request: 22
Past year bot issues: 0
Past year bot pull requests: 3

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

Top Issue Authors

  • OriolAbril (15)
  • sethaxen (8)
  • ahartikainen (5)
  • ricardoV94 (4)
  • williambdean (4)
  • yurivict (4)
  • michaelosthege (4)
  • rpgoldman (3)
  • aloctavodia (3)
  • ColCarroll (3)
  • zachjweiner (3)
  • aseyboldt (3)
  • twiecki (3)
  • omrihar (3)
  • maresb (2)

Top Pull Request Authors

  • OriolAbril (90)
  • aloctavodia (40)
  • star1327p (20)
  • ahartikainen (18)
  • sethaxen (8)
  • asael697 (8)
  • canyon289 (6)
  • varuntotakura (4)
  • dependabot[bot] (4)
  • Patchouli-Kenntnis (4)
  • lucianopaz (4)
  • JesseWardAtDurham (4)
  • lucifer4073 (4)
  • aadya940 (4)
  • jorenham (3)

Top Issue Labels

  • Beginner (9)
  • Enhancement (6)
  • Help Wanted (6)
  • User Documentation (6)
  • Bug (5)
  • Discussion (5)
  • Feature Request (4)
  • WIP (2)
  • Wont Fix (2)
  • ContinousIntegration (1)
  • Testing (1)
  • Workflow (1)
  • Usability (1)

Top Pull Request Labels

  • dependencies (4)
  • github_actions (3)
  • WIP (1)
  • Unfinished (1)

Package metadata

nixpkgs-unstable: python314Packages.arviz

Library for exploratory analysis of Bayesian models

pypi.org: arviz

Expose features from _ArviZverse_ refactored packages together in the ``arviz`` namespace.

  • Homepage:
  • Documentation: https://arviz.readthedocs.io/
  • Licenses: Apache Software License
  • Latest release: 1.3.0 (published 2 days ago)
  • Last Synced: 2026-08-12T04:02:32.013Z (1 day ago)
  • Versions: 50
  • Dependent Packages: 115
  • Dependent Repositories: 958
  • Downloads: 3,945,965 Last month
  • Docker Downloads: 97,753
  • Rankings:
    • Dependent packages count: 0.2%
    • Downloads: 0.257%
    • Dependent repos count: 0.375%
    • Average: 1.082%
    • Docker downloads count: 1.095%
    • Stargazers count: 1.763%
    • Forks count: 2.801%
  • Maintainers (5)
  • Funding:
    • https://opencollective.com/arviz
conda-forge.org: arviz

ArviZ (pronounced "AR-vees") is a Python package for exploratory analysis of Bayesian models. Includes functions for posterior analysis, model checking, comparison and diagnostics.

  • Homepage: https://github.com/arviz-devs/arviz
  • Licenses: Apache-2.0
  • Latest release: 0.14.0 (published over 3 years ago)
  • Last Synced: 2026-03-27T22:11:29.119Z (5 months ago)
  • Versions: 21
  • Dependent Packages: 10
  • Dependent Repositories: 44
  • Rankings:
    • Dependent repos count: 5.386%
    • Dependent packages count: 5.9%
    • Average: 7.851%
    • Forks count: 9.319%
    • Stargazers count: 10.801%
proxy.golang.org: github.com/arviz-devs/arviz

  • Homepage:
  • Documentation: https://pkg.go.dev/github.com/arviz-devs/arviz#section-documentation
  • Licenses: apache-2.0
  • Latest release: v1.3.0 (published 2 days ago)
  • Last Synced: 2026-08-12T04:02:39.009Z (1 day ago)
  • Versions: 37
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent packages count: 6.999%
    • Average: 8.173%
    • Dependent repos count: 9.346%
spack.io: py-arviz

ArviZ (pronounced "AR-vees") is a Python package for exploratory analysis of Bayesian models. Includes functions for posterior analysis, model checking, comparison and diagnostics.

  • Homepage: https://github.com/arviz-devs/arviz
  • Licenses: []
  • Latest release: 0.6.1 (published over 4 years ago)
  • Last Synced: 2026-08-12T04:09:03.112Z (1 day ago)
  • Versions: 1
  • Dependent Packages: 1
  • Dependent Repositories: 0
  • Rankings:
    • Dependent repos count: 0.0%
    • Forks count: 5.294%
    • Stargazers count: 6.433%
    • Average: 9.949%
    • Dependent packages count: 28.067%
  • Maintainers (1)
anaconda.org: arviz

ArviZ (pronounced "AR-vees") is a Python package for exploratory analysis of Bayesian models. Includes functions for posterior analysis, model checking, comparison and diagnostics.

  • Homepage: https://github.com/arviz-devs/arviz
  • Licenses: Apache-2.0
  • Latest release: 0.23.4 (published 4 months ago)
  • Last Synced: 2026-04-21T20:05:04.530Z (4 months ago)
  • Versions: 8
  • Dependent Packages: 4
  • Dependent Repositories: 44
  • Downloads: 544,229 Total
  • Rankings:
    • Dependent packages count: 9.401%
    • Average: 18.41%
    • Forks count: 18.495%
    • Stargazers count: 20.369%
    • Dependent repos count: 25.376%
guix: python-arviz

Exploratory analysis of Bayesian models

nixpkgs-23.11: python310Packages.arviz

Library for exploratory analysis of Bayesian models

nixpkgs-23.11: python311Packages.arviz

Library for exploratory analysis of Bayesian models

nixpkgs-unstable: python313Packages.arviz

Library for exploratory analysis of Bayesian models

nixpkgs-24.11: python312Packages.arviz

Library for exploratory analysis of Bayesian models

nixpkgs-24.05: python311Packages.arviz

Library for exploratory analysis of Bayesian models

nixpkgs-23.05: python310Packages.arviz

Library for exploratory analysis of Bayesian models

nixpkgs-24.11: python311Packages.arviz

Library for exploratory analysis of Bayesian models

nixpkgs-23.05: python311Packages.arviz

Library for exploratory analysis of Bayesian models

nixpkgs-24.05: python312Packages.arviz

Library for exploratory analysis of Bayesian models


Dependencies

.github/workflows/publish.yml actions
  • actions/checkout de0fac2e4500dabe0009e67214ff5f5447ce83dd composite
  • actions/download-artifact 3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c composite
  • hynek/build-and-inspect-python-package d44ca7d91762de7a7d5436ddae667c6da6d1c3df composite
  • pypa/gh-action-pypi-publish cef221092ed1bacb1cc03d23a2d87d1d172e277b composite
.github/workflows/test.yml actions
  • actions/checkout de0fac2e4500dabe0009e67214ff5f5447ce83dd composite
  • actions/setup-python a309ff8b426b58ec0e2a45f0f869d46889d02405 composite
pyproject.toml pypi
  • arviz-base >=1.2.0,<1.3.0
  • arviz-plots >=1.2.0,<1.3.0
  • arviz-stats [xarray]>=1.2.0,<1.3.0