# jakearchibald/svgomg

Web GUI for SVGO

Repository: https://github.com/jakearchibald/svgomg
Canonical: https://ross.abutalabs.com/products/svgomg
Homepage: https://jakearchibald.github.io/svgomg/
Language: JavaScript
License: MIT
License Family: permissive
Last push: 2025-09-29T08:33:37+00:00

## Health v2 (maintenance only)
Score: 52/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 44, release rhythm 35, longevity 100
- inputs: {"age_days": 4277, "days_push": 338, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 6192, forks 526 (observed 2026-08-28T04:09:39.460380+00:00)

## What it is
SVGOMG is a web-based GUI for SVGO, the SVG optimizer, exposing most of SVGO's configuration options through a friendly interface. It lets users minify SVG files with live previews and per-option toggles.

## Use cases
- minify svg files online
- optimize svg for web with a gui
- tune svgo options without the cli
- reduce svg file size
- preview svg compression before and after

## When to choose
- you want a visual interface for SVGO's many options
- you need to optimize SVGs occasionally without installing CLI tooling
- you want to compare original vs optimized output with gzip sizes

## When to avoid
- you need to batch-optimize SVGs in a build pipeline - use SVGO directly
- you need offline/CLI automation rather than an interactive web tool

## Facets
- artifact type: application
- maturity: active
- function: gui, image-processing, developer-tools
- domain: web-development, graphics, frontend, developer-tools
- platform: browser
- tags: svg, svgo, minification, vector-graphics, optimizer, web-server, javascript

## Member repositories
- jakearchibald/svgomg (main) score 52

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:39.460380+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 2026-08-29T17:47:22.011909+00:00, confidence not recorded.
  - readme: https://github.com/jakearchibald/svgomg (fetched 2026-08-28T04:09:39.460380+00:00, sha 721da79f329a)
  - homepage: https://jakearchibald.github.io/svgomg/ (fetched 2026-08-29T08:44:08.420058+00:00, sha 391db6531067)
- Data as of 2026-08-30T08:39:29.467469+00:00.