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ArviZ.jl

Exploratory analysis of Bayesian models with Julia

Install / Use

/learn @arviz-devs/ArviZ.jl
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

<img src="https://raw.githubusercontent.com/arviz-devs/arviz-project/main/arviz_logos/ArviZ.png#gh-light-mode-only" width=200></img> <img src="https://raw.githubusercontent.com/arviz-devs/arviz-project/main/arviz_logos/ArviZ_white.png#gh-dark-mode-only" width=200></img>

Docs CI codecov.io Code Style: Blue

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

It is part of the ArviZ project, along with the Python package ArviZ.

See the documentation for details.

Contributions

ArviZ is a community project and welcomes contributions. Additional information can be found in the Contributing Readme.

Code of Conduct

ArviZ wishes to maintain a positive community. Additional details can be found in the Code of Conduct.

Sponsors

<img src="https://raw.githubusercontent.com/arviz-devs/arviz_governance/main/sphinx/NumFocus.png" height=100></img>

View on GitHub
GitHub Stars110
CategoryDevelopment
Updated6d ago
Forks12

Languages

Julia

Security Score

85/100

Audited on Apr 2, 2026

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