arviz-base
Base ArviZ features and converters.
Decision gist · record as of 2026-08-14
Yes, if you are working within the ArviZ ecosystem or need to standardize posterior data from multiple Bayesian modeling frameworks. The package is actively maintained, has no known vulnerabilities, and carries a permissive license. Verify first whether you need the full ecosystem or can use this subpackage independently.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.12 or later
- Low install friction with a pure-Python wheel and minimal dependencies.
- Active maintenance with a release 3 days old and recent commits suggest steady development.
License · maintenance · safety
permissive license (permissive) — Licensed under Apache Software License (permissive), allowing commercial and private use without restriction.
last release 2026-08-11 (3 days) · last repo commit 2026-08-11 · 8 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 607,412 downloads/mo, #5,785 on PyPI
Alternatives
Verify before relying
pip install arviz-base
import arviz_base
import numpy as np
import xarray as xr- Which specific Bayesian modeling frameworks are supported by the converters in this version
- Whether this subpackage can be used independently or requires other arviz packages for typical workflows
- Performance characteristics when handling large posterior datasets
What it is and what it does
arviz-base is the foundation layer of the ArviZ ecosystem, a modular Python library for exploratory analysis of Bayesian models. This subpackage specifically handles data converters and base manipulation—the infrastructure for transforming posterior samples from different modeling tools into a common format and performing core data operations. It depends on numpy, xarray, typing-extensions, and lazy_loader to provide efficient storage and access to multidimensional inference data.
The package is designed as part of a larger ecosystem and targets researchers and practitioners working with Bayesian inference. It requires Python 3.12 or later and is actively maintained by the ArviZ community under NumFOCUS.
Use it for
- Convert posterior samples from different Bayesian samplers into a standardized xarray-based format for downstream analysis
- Store and retrieve multidimensional inference data efficiently using xarray structures
- Build custom Bayesian analysis pipelines that need a common data layer across different modeling frameworks
- Integrate Bayesian model outputs into reproducible research workflows with standardized metadata
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are working within the ArviZ ecosystem or need to standardize posterior data from multiple Bayesian modeling frameworks.
The package is actively maintained, has no known vulnerabilities, and carries a permissive license. Verify first whether you need the full ecosystem or can use this subpackage independently.
Install
arviz-base on PyPI
Before you install
Low install friction with a pure-Python wheel and minimal dependencies. Active maintenance with a release 3 days old and recent commits suggest steady development.
Requires Python 3.12 or later
License in practice
Licensed under Apache Software License (permissive), allowing commercial and private use without restriction.
Quickstart
pip install arviz-base
import arviz_base
import numpy as np
import xarray as xrVerify before relying
- Which specific Bayesian modeling frameworks are supported by the converters in this version
- Whether this subpackage can be used independently or requires other arviz packages for typical workflows
- Performance characteristics when handling large posterior datasets
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.12 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesnumpyxarraytyping-extensionslazy_loader |
| Maintenance | Actively maintained 3 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 607,412 / month, #5,785 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersIntended Audience :: EducationIntended Audience :: Science/ResearchLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14 |
Evidence: arviz_base-1.3.0-py3-none-any.whl
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