# airmrcr/qrious

Pure JavaScript library for QR code generation using canvas

Repository: https://github.com/airmrcr/qrious
Canonical: https://ross.abutalabs.com/products/qrious
Homepage: https://neocotic.com/qrious
Language: JavaScript
License: NOASSERTION
License Family: other
Topics: qr, qrcode, qrcode-generator, javascript, browser
Last push: 2024-06-18T16:43:55+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 5502, "days_push": 806, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- 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 1617, forks 214 (observed 2026-08-28T04:05:11.989011+00:00)

## What it is
QRious is a pure JavaScript library for generating QR codes using HTML5 canvas in the browser. It provides a simple API to render customizable QR codes onto canvas elements with configurable size, colors, and error correction levels.

## Use cases
- generate QR codes in the browser
- render QR codes onto a canvas element
- create QR codes for URLs or text on a web page
- customize QR code colors and size
- add QR code generation to a JavaScript web app

## When to choose
- you need client-side QR code generation in pure JavaScript
- you want to render QR codes to HTML5 canvas with simple configuration
- you need a lightweight browser-only QR library without dependencies

## When to avoid
- you need server-side QR generation in Node.js (use node-qrious or another library)
- you need QR code scanning/reading rather than generation
- you need actively developed features or guaranteed long-term support

## Facets
- artifact type: library
- maturity: maintenance
- function: graphics, image-processing
- domain: web-development, frontend
- platform: browser, cross-platform
- tags: qr-code, canvas, javascript, barcode-generation, nodejs

## Member repositories
- airmrcr/qrious (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:11.989011+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 2026-08-30T03:49:44.820143+00:00, confidence not recorded.
  - readme: https://github.com/airmrcr/qrious (fetched 2026-08-28T04:05:11.989011+00:00, sha 9d781f1d0a4b)
  - homepage: https://neocotic.com/qrious (fetched 2026-08-29T11:22:35.999099+00:00, sha ea3af06dccbf)
- Data as of 2026-08-30T08:39:29.467469+00:00.