Minimalist library to generate SVG views of scientific data
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,…
Minimalist library to generate SVG views of scientific data launched on March 23, 2026 with 47 votes, #723 of 23,380 launches that month and more than 95% of that year's launches.
In plain words
This open-source Python library generates lightweight SVG visualizations of scientific data, including scatterplots, line plots, histograms, and box plots. Graphs are configured using JSON files and styled with CSS, enabling automatic dark and light mode support. It's designed for developers and researchers who need compact, customizable data visualizations without the bloated file sizes produced by standard Python plotting libraries.
written from the facts on this page · September 2026
From the sources
Py library to generate SVG visualizations of scientific data - alefore/mini_svg
Simple py/ts logic to generate SVG visualizations of scientific data ( example graphs ). The generated images tend to be significantly leaner than what general (non-SVG specific) plotting software generates. For example, a simple histogram is: As a command-line which receives parameters from a json file. See .sh files in the examples directory . npm install git+https://github.com/alefore/mini_svg.git TODO: More information is missingfrom github.com
In the maker’s words, at launch
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…
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