# dlbeer/quirc

QR decoder library

Repository: https://github.com/dlbeer/quirc
Canonical: https://ross.abutalabs.com/products/quirc
Language: C
License: NOASSERTION
License Family: other
Last push: 2025-05-20T14:23:19+00:00

## Health v2 (maintenance only)
Score: 42/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 22, release rhythm 35, longevity 100
- inputs: {"age_days": 5234, "days_push": 470, "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 1004, forks 313 (observed 2026-09-03T02:15:11.318899+00:00)

## What it is
Quirc is a small, dependency-free C library for extracting and decoding QR codes from images, fast enough for realtime video. It handles rotated, oblique, and multiple codes per frame and is easily embeddable with a tiny memory footprint.

## Use cases
- decode qr codes from images in c
- realtime qr code scanning from camera video
- embed qr decoder in embedded device
- detect multiple qr codes in one image
- build a barcode scanner app
- decode rotated or skewed qr codes

## When to choose
- you need a lightweight, portable QR decoder with no dependencies
- you need realtime decoding from video frames
- you need multithread-safe decoding of multiple codes per image
- you target embedded or resource-constrained platforms

## When to avoid
- you need to decode barcode formats other than QR codes
- you want a high-level library with camera and UI integration built in
- you need pure Python/Java tooling rather than a C library

## Facets
- artifact type: library
- maturity: active
- function: computer-vision, image-processing, parser, sdk
- domain: computer-vision, image-processing, embedded-systems, cross-platform
- platform: cross-platform, embedded, cpp, c
- tags: qr-code, barcode-decoding, realtime-video, no-dependencies, isc-license, linux

## Member repositories
- dlbeer/quirc (main) score 42

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:11.318899+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 2026-08-30T07:13:59.610286+00:00, confidence not recorded.
  - readme: https://github.com/dlbeer/quirc (fetched 2026-09-03T02:15:11.318899+00:00, sha e65394c85423)
- Data as of 2026-08-30T08:39:29.467469+00:00.