Just wanted to share with HN a simple/minimal open source Python library that generates SVG files visualizing two dimensional data and distributions, in case others find it useful or interesting.
I wrote it as a fun project, mostly because I found that the standard libraries in Python generated unnecessarily large SVG files. One nice property is that I can configure the visuals through CSS, which allows me to support dark/light mode browser settings. The graphs are specified as JSON files (the repository includes a few examples).
It supports scatterplots, line plots, histograms, and box plots, and I collected examples here: https://github.com/alefore/mini_svg/blob/main/examples/READM...
I did this mostly for the graphs in an article in my blog (https://alejo.ch/3jj).
Would love to hear opinions. :-)
The only downside I've experienced is that it's pretty much impossible to get data-dependent interactions (tooltips and clickable links that vary based on section) to work reliably: additional Javascript has gotten me to like 80% on desktop, but not on mobile.