# path/FastImageCache

iOS library for quickly displaying images while scrolling

Repository: https://github.com/path/FastImageCache
Canonical: https://ross.abutalabs.com/products/fastimagecache
Language: Objective-C
License: MIT
License Family: permissive
Last push: 2023-07-12T23:20:57+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": 4760, "days_push": 1148, "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 8059, forks 920 (observed 2026-08-28T04:10:12.371394+00:00)

## What it is
FastImageCache is an Objective-C iOS library for persistently storing and retrieving images at high speed, designed to keep scrolling smooth in graphics-rich apps. It stores similarly sized images together on disk and returns them far faster than traditional per-file loading.

## Use cases
- display images smoothly while scrolling in an iOS app
- cache user profile photos on disk for fast retrieval
- speed up image loading in a photo feed
- avoid slow disk reads of individual image files
- manage automatic cache expiry based on usage recency

## When to choose
- your iOS app scrolls through many similarly sized images and disk loading is a bottleneck
- you need persistent image caching with fast decode-aligned rendering

## When to avoid
- you need network image downloading and async loading out of the box (use SDWebImage or Kingfisher)
- your project targets modern Swift-first architectures, as the library is legacy Objective-C with infrequent releases

## Facets
- artifact type: library
- maturity: maintenance
- function: caching, image-processing
- domain: mobile-development, image-processing, performance
- platform: -
- tags: objective-c, image-cache, scrolling-performance, disk-cache, uikit, ios, mobile, swift

## Member repositories
- path/FastImageCache (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:12.371394+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 2026-08-29T17:31:23.248844+00:00, confidence not recorded.
  - readme: https://github.com/path/FastImageCache (fetched 2026-08-28T04:10:12.371394+00:00, sha 4e44db97194c)
- Data as of 2026-08-30T08:39:29.467469+00:00.