# ibireme/YYImage

Image framework for iOS to display/encode/decode animated WebP, APNG, GIF, and more.

Repository: https://github.com/ibireme/YYImage
Canonical: https://ross.abutalabs.com/products/yyimage
Language: Objective-C
License: MIT
License Family: permissive
Last push: 2024-06-27T04:53:47+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": 3966, "days_push": 797, "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 1782, forks 508 (observed 2026-08-28T04:05:35.676815+00:00)

## What it is
YYImage is an Objective-C image framework for iOS that displays, encodes, and decodes animated images including WebP, APNG, and GIF, as well as many still image formats. It is a component of YYKit and offers frame-based and sprite sheet animation with UIImage/UIImageView compatibility and low memory usage.

## Use cases
- display animated gif in an ios app
- decode webp images on ios
- play apng animation in a uiimageview
- show sprite sheet animation
- reduce memory usage when displaying animated images
- encode images to webp format

## When to choose
- you need animated GIF/WebP/APNG support in an iOS app with UIImage compatibility
- you want low-memory animated image playback or sprite sheet animation on iOS

## When to avoid
- you are building for Android or cross-platform Flutter/React Native
- you need a Swift-native or SwiftUI-first image pipeline like SDWebImage or Nuke
- you only need basic still image loading without animation

## Facets
- artifact type: library
- maturity: maintenance
- function: image-processing, animation, ui-components
- domain: mobile-development, image-processing, graphics
- platform: cpp
- tags: objective-c, animated-images, gif, webp, apng, uikit, cocoapods, sprite-sheet, ios, mobile, swift

## Member repositories
- ibireme/YYImage (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:35.676815+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 2026-08-30T03:24:21.760791+00:00, confidence not recorded.
  - readme: https://github.com/ibireme/YYImage (fetched 2026-08-28T04:05:35.676815+00:00, sha f71b6fc1d024)
- Data as of 2026-08-30T08:39:29.467469+00:00.