# Aufree/trip-to-iOS

A curated list of delightful iOS resources.

Repository: https://github.com/Aufree/trip-to-iOS
Canonical: https://ross.abutalabs.com/products/trip-to-ios
Language: Objective-C
License Family: other
Last push: 2022-05-17T07:07:01+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4261, "days_push": 1569, "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 7876, forks 2203 (observed 2026-08-28T04:10:08.532198+00:00)

## What it is
A curated list of iOS learning resources including video tutorials, books, and tools, primarily aimed at iOS beginners. It is a Chinese-language awesome-list repository rather than software.

## Use cases
- find iOS learning resources
- learn iOS development from scratch
- plan an iOS learning roadmap
- find Stanford iOS video courses
- discover Objective-C and Swift books
- find Chinese-language iOS tutorials

## When to choose
- you are a beginner looking for a structured set of iOS learning materials
- you prefer curated lists over searching for tutorials yourself
- you want Chinese-language or translated iOS course recommendations

## When to avoid
- you need runnable code or a library to include in a project
- you need up-to-date resources for the latest iOS versions, as the list was last updated in 2022
- you want English-only resources

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: mobile-development, tutorials, awesome-lists
- platform: -
- tags: awesome-list, ios-development, objective-c, swift, curated-resources, chinese-language, ios, mobile

## Member repositories
- Aufree/trip-to-iOS (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:08.532198+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 2026-08-29T17:33:43.750687+00:00, confidence not recorded.
  - readme: https://github.com/Aufree/trip-to-iOS (fetched 2026-08-28T04:10:08.532198+00:00, sha ce63e03f1d26)
- Data as of 2026-08-30T08:39:29.467469+00:00.