JOSS: https://github.com/arviz-devs/arviz
bayesian closember python
Score: 27.720392987241823
Last synced: about 19 hours ago
JSON representation
Repository metadata:
Exploratory analysis of Bayesian models with Python
- Host: GitHub
- URL: https://github.com/arviz-devs/arviz
- Owner: arviz-devs
- License: apache-2.0
- Created: 2015-07-29T11:51:10.000Z (over 10 years ago)
- Default Branch: main
- Last Pushed: 2025-12-15T17:18:17.000Z (about 2 months ago)
- Last Synced: 2025-12-18T12:24:19.652Z (about 2 months ago)
- Topics: bayesian, closember, python
- Language: Python
- Homepage: https://python.arviz.org
- Size: 127 MB
- Stars: 1,765
- Watchers: 50
- Forks: 462
- Open Issues: 170
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- Funding: .github/FUNDING.yml
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION.cff
- Governance: GOVERNANCE.md
-
Funding:
- Custom: https://numfocus.org/donate-to-arviz
Owner metadata:
- Name: ArviZ
- Login: arviz-devs
- Email:
- Kind: organization
- Description:
- Website: https://www.arviz.org
- Location:
- Twitter: arviz_devs
- Company:
- Icon url: https://avatars.githubusercontent.com/u/13554846?v=4
- Repositories: 31
- Last Synced at: 2025-10-31T06:32:52.455Z
- Profile URL: https://github.com/arviz-devs
GitHub Events
Total
- Create event: 9
- Delete event: 10
- Fork event: 64
- Gollum event: 11
- Issue comment event: 189
- Issues event: 50
- Pull request event: 89
- Pull request review comment event: 25
- Pull request review event: 66
- Push event: 63
- Release event: 3
- Watch event: 138
- Total: 717
Last Year
- Create event: 9
- Delete event: 10
- Fork event: 51
- Gollum event: 11
- Issue comment event: 166
- Issues event: 46
- Pull request event: 78
- Pull request review comment event: 15
- Pull request review event: 55
- Push event: 54
- Release event: 3
- Watch event: 113
- Total: 611
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 | 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
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
- Total packages: 9
-
Total downloads:
- pypi: 2,989,052 last-month
- Total docker downloads: 97,753
- Total dependent packages: 130 (may contain duplicates)
- Total dependent repositories: 1,046 (may contain duplicates)
- Total versions: 107
- Total maintainers: 6
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
- Homepage: https://arviz-devs.github.io/arviz/
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-23.05/pkgs/development/python-modules/arviz/default.nix#L103
- Licenses: Apache-2.0
- Latest release: 0.15.1 (published 10 days ago)
- Last Synced: 2026-01-26T16:29:33.457Z (10 days ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
nixpkgs-23.05: python311Packages.arviz
Library for exploratory analysis of Bayesian models
- Homepage: https://arviz-devs.github.io/arviz/
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-23.05/pkgs/development/python-modules/arviz/default.nix#L103
- Licenses: Apache-2.0
- Latest release: 0.15.1 (published 10 days ago)
- Last Synced: 2026-01-26T18:40:22.585Z (10 days ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
nixpkgs-unstable: python313Packages.arviz
Library for exploratory analysis of Bayesian models
- Homepage: https://arviz-devs.github.io/arviz/
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-unstable/pkgs/development/python-modules/arviz/default.nix#L125
- Licenses: Apache-2.0
- Latest release: 0.23.1 (published 10 days ago)
- Last Synced: 2026-01-27T00:55:45.630Z (10 days ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
nixpkgs-unstable: python314Packages.arviz
Library for exploratory analysis of Bayesian models
- Homepage: https://arviz-devs.github.io/arviz/
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-unstable/pkgs/development/python-modules/arviz/default.nix#L125
- Licenses: Apache-2.0
- Latest release: 0.23.1 (published 10 days ago)
- Last Synced: 2026-01-27T06:14:44.993Z (10 days ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
Dependencies
- absolufy-imports *
- astroid *
- black *
- cloudpickle <1.5.0
- madforhooks *
- numpydoc *
- pydocstyle *
- pylint *
- pytest *
- pytest-cov *
- 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 *
- cmdstanpy *
- emcee *
- numpyro >=0.2.1
- pyjags *
- pyro-ppl >=1.0.0
- pystan *
- bokeh >=1.4.0,<3.0
- dask *
- numba *
- ujson *
- zarr >=2.5.0
- 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
- readthedocs/actions/preview v1 composite
- conda/miniconda3 latest build
- cloudpickle * test
- pytest * test
- pytest-cov * test