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

bayesian closember python

Score: 27.720392987241823

Last synced: about 19 hours ago
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Repository metadata:

Exploratory analysis of Bayesian models with Python


Owner metadata:


GitHub Events

Total
Last Year

Committers metadata

Last synced: about 2 months ago

Total Commits: 1,562
Total Committers: 183
Avg Commits per committer: 8.536
Development Distribution Score (DDS): 0.83

Commits in past year: 56
Committers in past year: 24
Avg Commits per committer in past year: 2.333
Development Distribution Score (DDS) in past year: 0.786

Name Email Commits
Osvaldo Martin a****a@g****m 266
Ari Hartikainen a****n 248
Oriol Abril-Pla o****a@g****m 244
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
rpgoldman r****n@g****g 16
MFreidank f****m@y****e 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
amukh18 4****8 7
AustinRochford a****d@m****m 7
Mragank Shekhar m****9@b****n 6
Volodymyr v****v@y****m 6
Michael Osthege m****e@o****m 5
Alexandre ANDORRA a****e@g****m 5
Ero Carrera e****a@g****m 5
Hector 2****z 5
Marco Edward Gorelli m****i@p****m 5
Ashish Kumar 7****s 4
and 153 more...

Issue and Pull Request metadata

Last synced: about 2 months ago

Total issues: 162
Total pull requests: 295
Average time to close issues: 11 months
Average time to close pull requests: about 1 month
Total issue authors: 103
Total pull request authors: 68
Average comments per issue: 3.21
Average comments per pull request: 2.01
Merged pull request: 223
Bot issues: 0
Bot pull requests: 1

Past year issues: 30
Past year pull requests: 89
Past year average time to close issues: about 1 month
Past year average time to close pull requests: 14 days
Past year issue authors: 26
Past year pull request authors: 27
Past year average comments per issue: 1.1
Past year average comments per pull request: 1.39
Past year merged pull request: 64
Past year bot issues: 0
Past year bot pull requests: 0

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

Top Issue Authors

  • OriolAbril (11)
  • sethaxen (8)
  • ahartikainen (5)
  • ricardoV94 (4)
  • yurivict (4)
  • rpgoldman (3)
  • aloctavodia (3)
  • ColCarroll (3)
  • zachjweiner (3)
  • wd60622 (3)
  • twiecki (3)
  • omrihar (3)
  • williambdean (2)
  • michaelraczycki (2)
  • hadjipantelis (2)

Top Pull Request Authors

  • OriolAbril (85)
  • aloctavodia (34)
  • star1327p (20)
  • ahartikainen (18)
  • sethaxen (8)
  • asael697 (8)
  • canyon289 (6)
  • lucifer4073 (4)
  • varuntotakura (4)
  • lucianopaz (4)
  • aadya940 (4)
  • JesseWardAtDurham (4)
  • Patchouli-Kenntnis (4)
  • jorenham (3)
  • michaelraczycki (3)

Top Issue Labels

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

Top Pull Request Labels

  • Unfinished (1)
  • WIP (1)
  • dependencies (1)

Package metadata

pypi.org: arviz

Exploratory analysis of Bayesian models

  • Homepage: http://github.com/arviz-devs/arviz
  • Documentation: https://arviz.readthedocs.io/
  • Licenses: Apache-2.0
  • Latest release: 0.23.1 (published 20 days ago)
  • Last Synced: 2026-01-29T18:26:49.699Z (7 days ago)
  • Versions: 44
  • Dependent Packages: 115
  • Dependent Repositories: 958
  • Downloads: 2,989,052 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)
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 about 3 years ago)
  • Last Synced: 2026-01-27T21:24:07.243Z (9 days 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: v0.23.0 (published about 2 months ago)
  • Last Synced: 2025-12-21T17:04:17.329Z (about 2 months ago)
  • Versions: 30
  • 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 almost 4 years ago)
  • Last Synced: 2026-01-29T12:42:31.202Z (7 days 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: 0.22.0 (published about 2 months ago)
  • Last Synced: 2026-01-21T17:20:51.985Z (15 days ago)
  • Versions: 7
  • Dependent Packages: 4
  • Dependent Repositories: 44
  • Rankings:
    • Dependent packages count: 9.401%
    • Average: 18.41%
    • Forks count: 18.495%
    • Stargazers count: 20.369%
    • Dependent repos count: 25.376%
nixpkgs-23.05: python310Packages.arviz

Library for exploratory analysis of Bayesian models

nixpkgs-23.05: python311Packages.arviz

Library for exploratory analysis of Bayesian models

nixpkgs-unstable: python313Packages.arviz

Library for exploratory analysis of Bayesian models

nixpkgs-unstable: python314Packages.arviz

Library for exploratory analysis of Bayesian models


Dependencies

requirements-dev.txt pypi
  • absolufy-imports *
  • astroid *
  • black *
  • cloudpickle <1.5.0
  • madforhooks *
  • numpydoc *
  • pydocstyle *
  • pylint *
  • pytest *
  • pytest-cov *
requirements-docs.txt pypi
  • Sphinx >=1.8.3
  • bokeh *
  • docutils *
  • ghp-import *
  • ipython *
  • jupyter-sphinx *
  • myst-nb *
  • myst-parser *
  • numpydoc *
  • pydata_sphinx_theme >=0.6.3
  • pydocstyle *
  • sphinx-codeautolink >=0.9.0
  • sphinx-copybutton *
  • sphinx-notfound-page *
  • sphinx-panels *
  • sphinx_design *
requirements-external.txt pypi
  • cmdstanpy *
  • emcee *
  • numpyro >=0.2.1
  • pyjags *
  • pyro-ppl >=1.0.0
  • pystan *
requirements-optional.txt pypi
  • bokeh >=1.4.0,<3.0
  • dask *
  • numba *
  • ujson *
  • zarr >=2.5.0
requirements.txt pypi
  • matplotlib >=3.5
  • netcdf4 *
  • numpy >=1.19.0
  • packaging *
  • pandas >=1.4.0
  • scipy >=1.8.0
  • setuptools >=60.0.0
  • typing_extensions >=4.1.0
  • xarray >=0.21.0
  • xarray-einstats >=0.3
.github/workflows/rtd_link_description.yaml actions
  • readthedocs/actions/preview v1 composite
scripts/Dockerfile docker
  • conda/miniconda3 latest build
requirements-test.txt pypi
  • cloudpickle * test
  • pytest * test
  • pytest-cov * test