ArviZ¶
Exploratory analysis of Bayesian models with Python
https://github.com/arviz-devs/arviz
Available modules¶
The overview below shows which ArviZ installations are available per target architecture in EESSI, ordered based on software version (new to old).
To start using ArviZ, load one of these modules using a module load command like:
(This data was automatically generated on Fri, 06 Feb 2026 at 13:12:13 UTC)
| aarch64/generic | aarch64/a64fx | aarch64/neoverse_n1 | aarch64/neoverse_v1 | aarch64/nvidia/grace | x86_64/generic | x86_64/amd/zen2 | x86_64/amd/zen3 | x86_64/amd/zen4 | x86_64/intel/cascadelake | x86_64/intel/haswell | x86_64/intel/icelake | x86_64/intel/sapphirerapids | x86_64/intel/skylake_avx512 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ArviZ/0.16.1-foss-2023a | x | x | x | x | x | x | x | x | x | x | x | x | x | x |
ArviZ/0.16.1-foss-2023a¶
This is a list of extensions included in the module:
ArviZ-0.16.1, xarray-einstats-0.6.0