# drewwilson/atvImg

Repository: https://github.com/drewwilson/atvImg
Canonical: https://ross.abutalabs.com/products/atvimg
Language: JavaScript
License Family: other
Last push: 2016-11-24T20:48:35+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3965, "days_push": 3569, "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 1425, forks 104 (observed 2026-08-28T04:04:41.543754+00:00)

## What it is
A lightweight 2kb vanilla JavaScript plugin that turns layered PNG images into 3D parallax icons mimicking the Apple TV app icon effect. It works on all major browsers including touch and mobile devices, with no dependencies.

## Use cases
- create 3D parallax app icons on a webpage
- recreate the Apple TV icon hover effect in the browser
- add depth effect to layered images with vanilla JS
- make interactive tilt icons that work on mobile touch
- add a lightweight parallax image effect without dependencies

## When to choose
- you want the Apple TV-style 3D parallax icon effect with a tiny 2kb footprint
- you need a dependency-free vanilla JavaScript solution
- you need touch and mobile support for the effect

## When to avoid
- you need a maintained library with recent updates or a license file
- you want a general-purpose parallax or animation framework rather than a specific icon effect
- your project uses a framework where a React/Vue component would fit better

## Facets
- artifact type: plugin
- maturity: abandoned
- function: animation, ui-components, frontend-framework
- domain: frontend, web-development, graphics
- platform: browser, cross-platform
- tags: vanilla-javascript, parallax-effect, 3d-icons, apple-tv, no-dependencies, touch-support

## Member repositories
- drewwilson/atvImg (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:41.543754+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 2026-08-30T04:37:30.549852+00:00, confidence not recorded.
  - readme: https://github.com/drewwilson/atvImg (fetched 2026-08-28T04:04:41.543754+00:00, sha d54f2f6dd4a7)
- Data as of 2026-08-30T08:39:29.467469+00:00.