# mixi-inc/iOSTraining

Training course repository for iOS app development

Repository: https://github.com/mixi-inc/iOSTraining
Canonical: https://ross.abutalabs.com/products/iostraining
Language: Objective-C
License: NOASSERTION
License Family: other
Archived: true
Last push: 2022-10-01T05:15:47+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4899, "days_push": 1432, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1616, forks 326 (observed 2026-08-28T04:05:11.567335+00:00)

## What it is
A training course repository by mixi for learning iOS app development fundamentals in Swift, with structured daily lessons, exercises, and before/after Xcode projects. It covers Swift basics, memory management, view controllers, UIKit components, and table views.

## Use cases
- learn iOS app development from scratch
- training material for new iOS engineers
- practice Swift exercises with sample projects
- study UIKit view controllers and navigation
- onboarding course for iOS developers

## When to choose
- you want a structured, exercise-based iOS curriculum
- you are onboarding junior iOS engineers
- you prefer learning with before/after Xcode projects

## When to avoid
- you need up-to-date Swift/SwiftUI content (course targets Swift 3 and Xcode 8.1)
- you want a reference app or production library
- you need modern iOS APIs and tooling

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools
- domain: mobile-development, education, tutorials
- platform: -
- tags: ios-development, swift, training-course, tutorial, objective-c, uikit, ios

## Member repositories
- mixi-inc/iOSTraining (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:11.567335+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 2026-08-30T03:50:04.188042+00:00, confidence not recorded.
  - readme: https://github.com/mixi-inc/iOSTraining (fetched 2026-08-28T04:05:11.567335+00:00, sha c0cfe5fad0e8)
- Data as of 2026-08-30T08:39:29.467469+00:00.