ArviZ (pronounced "AR-vees") is a Python package for exploratory analysis of Bayesian models. It includes functions for posterior analysis, data storage, model checking, comparison and diagnostics.
ArviZ also has a Julia wrapper available ArviZ.jl.
The ArviZ documentation can be found in the official docs. Here are some quick links for common scenarios:
- First time Bayesian modelers and ArviZ users: EABM book
- First time ArviZ users, already familiar with Bayesian modeling: overview notebook or example gallery
- ArviZ 0.x user: migration guide
- ArviZ-verse documentation:
ArviZ is available for installation from PyPI. The latest stable version can be installed using pip:
pip install "arviz[preview]"
ArviZ is also available through conda-forge.
conda install -c conda-forge arviz arviz-plots
The latest development version can be installed from the main branch using pip:
pip install git+git://github.com/arviz-devs/arviz.git
Another option is to clone the repository and install using git and setuptools:
git clone https://github.com/arviz-devs/arviz.git
cd arviz
python setup.py install
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If you use ArviZ and want to cite it please use
Here is the citation in BibTeX format
@article{arviz_2019,
doi = {10.21105/joss.01143},
url = {https://doi.org/10.21105/joss.01143},
year = {2019},
publisher = {The Open Journal},
volume = {4},
number = {33},
pages = {1143},
author = {Ravin Kumar and Colin Carroll and Ari Hartikainen and Osvaldo Martin},
title = {ArviZ a unified library for exploratory analysis of Bayesian models in Python},
journal = {Journal of Open Source Software}
}
ArviZ is a community project and welcomes contributions. Additional information can be found in the contributing guide
ArviZ wishes to maintain a positive community. Additional details can be found in the Code of Conduct
ArviZ is a non-profit project under NumFOCUS umbrella. If you want to support ArviZ financially, you can donate here.
The ArviZ project website has more information about each sponsor and the support they provide.
