# iamdaiyuan/ios_top_1000

A curated list of awesome iOS top 1000 libraries.

Repository: https://github.com/iamdaiyuan/ios_top_1000
Canonical: https://ross.abutalabs.com/products/ios_top_1000
Homepage: http://iamdaiyuan.github.io/
Language: Groff
License: Apache-2.0
License Family: permissive
Last push: 2015-06-25T08:05:13+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": 4111, "days_push": 4087, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1831, forks 294 (observed 2026-08-28T04:05:41.906340+00:00)

## What it is
A curated list of the top 1000 iOS libraries, ranked by popularity, with names and demo images. It is a static reference list rather than runnable software.

## Use cases
- find popular iOS libraries for a new app
- discover which Objective-C networking or UI libraries are most used
- browse top iOS open-source projects with demos
- compare popular iOS libraries before choosing one
- find alternatives to well-known iOS libraries like AFNetworking or SDWebImage

## When to choose
- you want a quick curated overview of historically popular iOS libraries
- you are researching the Objective-C era iOS ecosystem

## When to avoid
- you need up-to-date Swift-first library recommendations, as the list stopped updating around 2015
- you need installable software or tooling rather than a reference list

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: developer-tools
- domain: mobile-development, awesome-lists
- platform: -
- tags: awesome-list, curated-list, objective-c, swift, ios-libraries, ios, mobile

## Member repositories
- iamdaiyuan/ios_top_1000 (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:41.906340+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 2026-08-30T03:19:11.945097+00:00, confidence not recorded.
  - readme: https://github.com/iamdaiyuan/ios_top_1000 (fetched 2026-08-28T04:05:41.906340+00:00, sha b2f3964e5b82)
  - homepage: http://iamdaiyuan.github.io/ (fetched 2026-08-29T10:57:57.841999+00:00, sha b203e6b2ef9b)
- Data as of 2026-08-30T08:39:29.467469+00:00.