# viliusle/miniPaint

online image editor

Repository: https://github.com/viliusle/miniPaint
Canonical: https://ross.abutalabs.com/products/minipaint
Homepage: http://viliusle.github.io/miniPaint/
Language: JavaScript
License: NOASSERTION
License Family: other
Topics: canvas, drawing, paint, layers, effects, photoshop, browser, html5
Last push: 2026-04-20T18:43:28+00:00

## Health v2 (maintenance only)
Score: 72/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 78, release rhythm 48, longevity 100
- inputs: {"age_days": 4782, "days_push": 135, "days_rel": 135, "gap_med": null, "n_releases_24m": 1}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3436, forks 780 (observed 2026-08-28T04:08:04.911046+00:00)

## What it is
miniPaint is a free, open-source online image editor that runs entirely in the browser using HTML5 canvas, with no server uploads required. It offers layers, drawing tools, filters, and effects as a lightweight Photoshop alternative.

## Use cases
- edit images online without installing software
- draw and paint in the browser with layers
- apply filters and effects to photos
- free Photoshop alternative for quick edits
- crop, resize, and rotate images in a browser
- edit screenshots with privacy since nothing is uploaded

## When to choose
- you need a no-install, browser-based image editor
- privacy matters and images must stay local
- you want layer support and filters without paying for Photoshop
- you want to embed an image editor in your own web page

## When to avoid
- you need advanced professional features like non-destructive smart objects or CMYK
- you require offline desktop performance for very large images
- you need RAW photo processing or batch editing

## Facets
- artifact type: application
- maturity: active
- function: image-processing, gui
- domain: image-processing, web-development, graphics
- platform: browser
- tags: image-editor, html5-canvas, photoshop-alternative, layers, photo-filters, client-side, web-server

## Member repositories
- viliusle/miniPaint (main) score 72

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:04.911046+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 2026-08-29T18:37:42.279580+00:00, confidence not recorded.
  - readme: https://github.com/viliusle/miniPaint (fetched 2026-08-28T04:08:04.911046+00:00, sha 4b00f8990081)
  - homepage: http://viliusle.github.io/miniPaint/ (fetched 2026-08-29T09:31:51.552230+00:00, sha dd4b370fdad0)
- Data as of 2026-08-30T08:39:29.467469+00:00.