arviz-plots
ArviZ-plots provides ready to use and composable plots for Bayesian Workflow.
Decision gist · record as of 2026-08-14
Yes. arviz-plots is actively maintained, has zero known vulnerabilities, supports current Python versions, and carries permissive licensing. Install it if you are doing Bayesian modeling with ArviZ and need visualization—but remember to also install your chosen backend (e.g., `pip install arviz-plots[matplotlib]`) to actually render plots.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.12 or later.
- A plotting backend (matplotlib, bokeh, or plotly) must be installed separately via extras; arviz-plots alone provides no visualization without one.
- Low friction install with a pure-Python wheel.
License · maintenance · safety
permissive license (permissive) — Licensed under Apache Software License (permissive), allowing commercial and private use with minimal restrictions.
last release 2026-08-11 (3 days) · last repo commit 2026-08-12 · 22 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 599,765 downloads/mo, #5,824 on PyPI
Alternatives
Verify before relying
pip install "arviz-plots[matplotlib]"
import arviz_plots as azp
# Use plotting functions from arviz_plots with arviz-base and arviz-stats data- Specific plot types and functions available beyond the general posterior/diagnostic/comparison categories mentioned in the description.
- Whether arviz-plots can be used standalone or requires deeper integration with arviz-base and arviz-stats beyond data input.
- Performance characteristics or scalability limits for large posterior samples or complex models.
What it is and what it does
arviz-plots is the visualization subpackage of ArviZ, a Python library for exploratory analysis of Bayesian models. It provides ready-to-use, composable plotting functions for posterior analysis, model checking, comparison, and diagnostics. The package is intentionally minimal—it depends only on xarray, numpy, arviz-base, and arviz-stats—and does not bundle any plotting backend by default. You choose which backend to install (matplotlib, bokeh, or plotly) based on your needs, keeping the core package lightweight.
The package is designed for Bayesian practitioners at all levels, from first-time modelers to experienced researchers. It integrates with the broader ArviZ ecosystem and supports modern Python versions (3.12+). With active maintenance, recent releases, and permissive licensing, it is positioned as a stable, community-driven tool for Bayesian workflow visualization.
Use it for
- Visualize posterior distributions and trace plots for MCMC diagnostics and convergence assessment.
- Compare multiple Bayesian models using side-by-side or comparative plotting functions.
- Generate posterior predictive check plots to validate model fit against observed data.
- Create publication-ready diagnostic plots for Bayesian model reports and papers.
- Explore high-dimensional posterior samples interactively using bokeh or plotly backends.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
arviz-plots is actively maintained, has zero known vulnerabilities, supports current Python versions, and carries permissive licensing. Install it if you are doing Bayesian modeling with ArviZ and need visualization—but remember to also install your chosen backend (e.g., `pip install arviz-plots[matplotlib]`) to actually render plots.
Install
arviz-plots on PyPI
Before you install
Low friction install with a pure-Python wheel. Active maintenance with a release 3 days old. Requires arviz-base and arviz-stats as runtime dependencies, and you must separately install a plotting backend (matplotlib, bokeh, or plotly) to use it.
Requires Python 3.12 or later. A plotting backend (matplotlib, bokeh, or plotly) must be installed separately via extras; arviz-plots alone provides no visualization without one.
License in practice
Licensed under Apache Software License (permissive), allowing commercial and private use with minimal restrictions.
Quickstart
pip install "arviz-plots[matplotlib]"
import arviz_plots as azp
# Use plotting functions from arviz_plots with arviz-base and arviz-stats dataVerify before relying
- Specific plot types and functions available beyond the general posterior/diagnostic/comparison categories mentioned in the description.
- Whether arviz-plots can be used standalone or requires deeper integration with arviz-base and arviz-stats beyond data input.
- Performance characteristics or scalability limits for large posterior samples or complex models.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.12 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesarviz-basearviz-stats |
| Maintenance | Actively maintained 3 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 599,765 / month, #5,824 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/StableFramework :: MatplotlibIntended 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_plots-1.3.0-py3-none-any.whl
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