a library for creating accessibility-friendly graphs and visualizations

I want this library to be something akin to Plotly, C3, or Matplotlib, but designed from the start to be as accessible as possible to end-users on the internet. This will be a long-running project, and stage 1 is to create just a simple bar chart with the features listed below.

Specific features in mind to date:

• Captioning/alt-text on graphs
• Ensure font resizeability & try to make small details otherwise easier on the nearsighted (e.g. bigger dots on scatterplots?)
• Sensible screen-reader output
• Appropriate color palettes for the colorblind, and encouragement to use more than just color as a distinguishing factor
• Mobile accessibility (resizing, alternate 'hover' option, etc)

• Keyboard-only input
• Colorblindness (provide appropriate color palettes and non-coloration differentiation; encourage using both at once)
• Nearsightedness
• Using a screen reader

• Web accessibility standards: https://www.w3.org/WAI/standards-guidelines/wcag/
• Web accessibility implementations (ARIA): https://www.w3.org/TR/wai-aria-practices-1.1/
• Standards for keyboard input support: https://www.w3.org/TR/wai-aria-practices-1.1/#keyboard
• Aria live (esp for react?): https://developer.mozilla.org/en-US/docs/Web/Accessibility/ARIA/ARIA_Live_Regions
• Web accessibility for designers info sheet: https://webaim.org/resources/designers/
• WebAIM: https://webaim.org/
• Web Accessibility Initiative: https://www.w3.org/WAI/
• W3C Tutorials: https://www.w3.org/WAI/tutorials/
• Principles of universal design: https://www.interaction-design.org/literature/article/learn-to-create-accessible-websites-with-the-principles-of-universal-design
• Excellent posters: https://github.com/UKHomeOffice/posters/blob/master/accessibility/dos-donts/posters_en-UK/accessibility-posters-set.pdf
• Color blindness simulator: http://www.color-blindness.com/coblis-color-blindness-simulator/

Other Notes

• Recent content (2020-2021) on 538 is a good example of accessible visualizations; previous content (esp. 3-4 years previous) is a good example of deeply inaccessible visualizations