# alexiscreuzot/SwiftyGif

High performance GIF engine

Repository: https://github.com/alexiscreuzot/SwiftyGif
Canonical: https://ross.abutalabs.com/products/swiftygif
Language: Swift
License: MIT
License Family: permissive
Last push: 2024-12-18T21:41:53+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3810, "days_push": 623, "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 2281, forks 220 (observed 2026-08-28T04:06:33.852667+00:00)

## What it is
SwiftyGif is a high-performance GIF playback engine for iOS written in Swift, built as UIImage/UIImageView extensions with support for remote GIFs, playback control, and CPU/memory tuning. It integrates via CocoaPods, Carthage, or Swift Package Manager and offers a SwiftUI wrapper.

## Use cases
- play animated gifs in an ios app
- display remote gifs with a loading indicator in uitableview cells
- control gif playback and loop count in swift
- render gifs in swiftui
- optimize gif memory and cpu usage on ios

## When to choose
- you need efficient GIF rendering on iOS with low CPU/memory overhead
- you want simple UIImage/UIImageView extensions or SwiftUI support
- you need playback control like loop counts and custom loaders

## When to avoid
- you target platforms other than Apple/iOS
- you need to encode or create GIFs rather than display them
- your project is not written in Swift or Objective-C-compatible tooling

## Facets
- artifact type: library
- maturity: active
- function: image-processing, ui-components
- domain: mobile-development, graphics
- platform: -
- tags: gif, gif-player, uiimageview, swiftui, animation, ios, swift, mobile

## Member repositories
- alexiscreuzot/SwiftyGif (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:33.852667+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 2026-08-30T02:41:20.707788+00:00, confidence not recorded.
  - readme: https://github.com/alexiscreuzot/SwiftyGif (fetched 2026-08-28T04:06:33.852667+00:00, sha d00f6a9408ab)
- Data as of 2026-08-30T08:39:29.467469+00:00.