esimov/triangle
Convert images to computer generated art using delaunay triangulation. observed · 2026-08-28
Health v2 · maintenance only
23/100
- Activity 0
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3294
- days_rel: n/a
- days_push: 678
- n_releases_24m: 0
Adoption not part of the score
2069 stars · 110 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Go CLI tool and library that converts images into abstract computer-generated art using Delaunay triangulation. It blurs, grayscales, and edge-detects the source image before triangulating representative pixels, and can output raster images or SVG.
Use cases
- convert a photo into low-poly triangle art
- generate delaunay triangulation images from a directory of pictures
- export triangulated images as SVG for the web
- batch process images into generative art
- turn an image URL into triangulated artwork
When to choose
- you want a fast, scriptable command-line tool for triangulated image effects
- you need batch or concurrent processing of many images
- you want a Go API to embed triangulation into your own app or wasm demo
When to avoid
- you need a GUI application for image editing
- you need general-purpose image editing beyond triangulation effects
- you work primarily outside the Go ecosystem and don't want a binary CLI
Facets
cli-tool · maturity active
image-processing cli graphics image-processing graphics windows cli go delaunay-triangulation generative-art svg-export sobel-filter linux macos
1 source
- readme: https://github.com/esimov/triangle · fetched 2026-08-28 · f2868256b82b
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| esimov/triangle | main | 23 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem