Minimalist library to generate SVG views of scientific data

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Just wanted to share with HN a simple&#x2F;minimal open source Python library that generates SVG files visualizing two dimensional data and distributions, in case others find it useful or interesting.<p>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&#x2F;light mode browser settings. The graphs are specified as JSON files (the repository includes a few examples).<p>It supports scatterplots, line plots, histograms, and box plots, and I collected examples here: <a href="https:&#x2F;&#x2F;github.com&#x2F;alefore&#x2F;mini_svg&#x2F;blob&#x2F;main&#x2F;examples&#x2F;README.md" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;alefore&#x2F;mini_svg&#x2F;blob&#x2F;main&#x2F;examples&#x2F;READM...</a><p>I did this mostly for the graphs in an article in my blog (<a href="https:&#x2F;&#x2F;alejo.ch&#x2F;3jj" rel="nofollow">https:&#x2F;&#x2F;alejo.ch&#x2F;3jj</a>).<p>Would love to hear opinions. :-)

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