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Minimalist library to generate SVG views of scientific data

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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. :-)

HN · launched Mar 23, 2026 · 47 upvotes (top 17%) · 0 views

Niche: data and scientific visualization tools · 146 launches, 3 in the last 7 days ▼ -50% · Explore this niche →

Category and tags

  • Horizontal
  • Analytics & BI
  • Developer
  • Not AI
  • Hobby / open-source project

Visit website ↗ Source listing ↗

Could you build this?

Yes A lightweight Python library that takes numerical coordinates and computes 2D SVG strings (paths, rectangles, axes) is a self-contained math and string-formatting task easily handled with AI assistance.

Discussion

4 comments analyzed.

Competitors mentioned: gnuplot, Claude Code / Codex for chart generation, eb_bars (Rust barplot library)

Concerns raised: Data-dependent interactions (tooltips, clickable links) unreliable on mobile, Limited to ~80% reliability for additional Javascript interactions on desktop

Feature requests: Easy-to-install skills for AI agents, Better support for agent-driven workflows

Competitors

Other products that read as similar to this one : 362 launches clear the similarity bar, closest 8 shown.

Attention rank: #67 of 363 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 142 days after the earliest competitor.

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