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.

Features

  • Exploratory analysis of Bayesian models with Julia
  • It is part of the ArviZ project, along with the Python package ArviZ
  • Documentation available
  • It includes functions for posterior analysis, model checking, comparison and diagnostics
  • Additional functionality can be loaded
  • Examples available

Project Samples

Project Activity

See All Activity >

License

MIT License

Follow ArviZ.jl

ArviZ.jl Web Site

You Might Also Like
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

The database for AI-powered applications.

MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of ArviZ.jl!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Julia

Related Categories

Julia Data Visualization Software

Registered

2023-12-08