a11yviz 0.1.1

Accessibility tools for matplotlib, plotly, and Quarto

Tools to make matplotlib and plotly charts plus Markdown / Quarto documents follow the Web Content Accessibility Guidelines (WCAG 2.1). Provides accessible themes, layout helpers, WCAG-tagged palettes, alt-text scaffolds, per-criterion audits, a chart-and-document rubric, heading-hierarchy and reading-level checks, and a drop-in stylesheet for HTML tables and SVG diagrams. R sibling: a11yviz.

Installation

pip install a11yviz

Quick start

import matplotlib.pyplot as plt
import a11yviz
from sklearn.datasets import load_iris

_data = load_iris(as_frame=True)
iris = _data.frame
iris["species"] = _data.target_names[iris["target"]]
cols = a11yviz.palette("dark2_8")
markers = ["o", "s", "^"]

fig, ax = plt.subplots()
for i, (sp, sub) in enumerate(iris.groupby("species")):
    ax.scatter(sub["sepal length (cm)"], sub["sepal width (cm)"],
               color=cols[i], marker=markers[i], label=sp)
ax.set_xlabel("Sepal length (cm)")
ax.set_ylabel("Sepal width (cm)")
ax.legend()

a11yviz.alt_text(fig, "Scatter of iris sepal width vs length by species.")

Citation

Shin, M. (2026). a11yviz: Accessibility toolkit for ggplot2, plotly, and Quarto (R package version 0.1.1). https://mshin77.github.io/a11yviz

Shin, M. (2026). a11yviz: Accessibility toolkit for matplotlib, plotly, and Quarto (Python package version 0.1.1). https://pypi.org/project/a11yviz/