# ajstarks/svgo

Go Language Library for SVG generation

Repository: https://github.com/ajstarks/svgo
Canonical: https://ross.abutalabs.com/products/ajstarks-svgo
Language: Go
License: NOASSERTION
License Family: other
Topics: svg, svg-images, svg-path, graphics, graphic-design, graphic-programming, sketch, markup, xml, visualization, go, golang, golang-library, golang-package
Last push: 2022-12-09T13:57:06+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 6025, "days_push": 1363, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2248, forks 173 (observed 2026-08-28T04:06:30.256073+00:00)

## What it is
SVGo is a Go library for programmatically generating SVG (Scalable Vector Graphics 1.1) documents, writing output to any io.Writer. It supports shapes, paths, gradients, transforms, animation, filter effects, and metadata elements.

## Use cases
- generate svg images from go code
- draw charts and diagrams programmatically in go
- serve dynamically generated svg from a web server
- create vector graphics sketches with code
- build svg animations and filter effects

## When to choose
- you need to generate SVG markup from a Go program or web handler
- you want fine-grained programmatic control over SVG elements like paths, gradients, and filters

## When to avoid
- you need to parse or manipulate existing SVG files rather than generate them
- you need raster image generation (PNG/JPEG) rather than SVG output

## Facets
- artifact type: library
- maturity: maintenance
- function: graphics, data-visualization, templating
- domain: graphics, web-development, data-visualization
- platform: go, cross-platform
- tags: svg, svg-generation, vector-graphics, golang-library, xml

## Member repositories
- ajstarks/svgo (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:30.256073+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:43:55.905638+00:00, confidence not recorded.
  - readme: https://github.com/ajstarks/svgo (fetched 2026-08-28T04:06:30.256073+00:00, sha 99d0011c291e)
- Data as of 2026-08-30T08:39:29.467469+00:00.