# alexk111/ngImgCrop

Image Crop directive for AngularJS (THIS PROJECT IS NOT MAINTAINED ANYMORE)

Repository: https://github.com/alexk111/ngImgCrop
Canonical: https://ross.abutalabs.com/products/ngimgcrop
Language: JavaScript
License: MIT
License Family: permissive
Last push: 2019-04-10T15:40:16+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": 4431, "days_push": 2702, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1110, forks 495 (observed 2026-08-28T04:03:37.397312+00:00)

## What it is
ngImgCrop is an AngularJS directive that lets users crop circular or square regions out of an image in the browser using canvas. The project is explicitly no longer maintained.

## Use cases
- crop profile pictures in an angularjs app
- let users crop images to a circle in the browser
- add an image crop control to a form
- crop uploaded images client-side before sending to server
- square avatar cropping with file input

## When to choose
- you are maintaining a legacy AngularJS 1.x app and need a simple client-side crop control
- you need circle or square cropping with a data-uri result

## When to avoid
- starting a new project - it is unmaintained
- using Angular 2+ or any modern framework
- you need advanced crop features like rotation, zoom, or aspect ratios

## Facets
- artifact type: library
- maturity: abandoned
- function: image-processing, ui-components
- domain: web-development, frontend, image-processing
- platform: browser
- tags: angularjs, image-crop, directive, canvas, unmaintained, javascript

## Member repositories
- alexk111/ngImgCrop (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:37.397312+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 2026-08-30T06:43:26.253474+00:00, confidence not recorded.
  - readme: https://github.com/alexk111/ngImgCrop (fetched 2026-08-28T04:03:37.397312+00:00, sha cd8d32eeee7f)
- Data as of 2026-08-30T08:39:29.467469+00:00.