ArviZ: a modular and flexible library for exploratory analysis of Bayesian models

Python Submitted 13 January 2026Published 06 March 2026
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Editor: @matt-graham (all papers)
Reviewers: @smutch (all reviews), @vankesteren (all reviews)

Authors

Osvaldo A. Martin (0000-0001-7419-8978), Oriol Abril-Pla (0000-0002-1847-9481), Jordan Deklerk, Seth D. Axen (0000-0003-3933-8247), Colin Carroll (0000-0001-6977-0861), Ari Hartikainen (0000-0002-4569-569X), Aki Vehtari (0000-0003-2164-9469)

Citation

Martin et al., (2026). ArviZ: a modular and flexible library for exploratory analysis of Bayesian models. Journal of Open Source Software, 11(119), 9889, https://doi.org/10.21105/joss.09889

@article{Martin2026, doi = {10.21105/joss.09889}, url = {https://doi.org/10.21105/joss.09889}, year = {2026}, publisher = {The Open Journal}, volume = {11}, number = {119}, pages = {9889}, author = {Martin, Osvaldo A. and Abril-Pla, Oriol and Deklerk, Jordan and Axen, Seth D. and Carroll, Colin and Hartikainen, Ari and Vehtari, Aki}, title = {ArviZ: a modular and flexible library for exploratory analysis of Bayesian models}, journal = {Journal of Open Source Software} }
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