# shu223/iOS-9-Sampler

Code examples for the new features of iOS 9.

Repository: https://github.com/shu223/iOS-9-Sampler
Canonical: https://ross.abutalabs.com/products/ios-9-sampler
Language: Swift
License: MIT
License Family: permissive
Last push: 2024-05-01T01:29:13+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": 4027, "days_push": 855, "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 3400, forks 397 (observed 2026-08-28T04:08:02.844509+00:00)

## What it is
A collection of Swift code examples demonstrating the new features introduced in iOS 9, covering APIs like Core Spotlight, SFSafariViewController, CASpringAnimation, text detection, and new Core Image filters. It serves as a hands-on reference for iOS developers learning the iOS 9 SDK.

## Use cases
- learn new iOS 9 APIs with example code
- see how to use Core Spotlight search APIs
- example of text detection with CIDetector
- learn UIStackView auto layout in Swift
- example of SFSafariViewController usage
- try new Core Image filters and transitions
- learn CASpringAnimation in Swift

## When to choose
- you are maintaining or studying an older iOS 9-era codebase
- you want quick, runnable Swift samples for specific iOS 9 APIs
- you learn best from small focused demo projects

## When to avoid
- you target modern iOS versions where most APIs have evolved
- you need production-ready or maintained library code
- you need Swift 5/Xcode-current project setups

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: image-processing, speech-recognition, animation, search-engine, computer-vision, audio-processing
- domain: mobile-development, education, tutorials, apple-ecosystem
- platform: -
- tags: ios-9, swift, code-samples, sampler, apple-sdks, demo-app, ios, mobile

## Member repositories
- shu223/iOS-9-Sampler (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:02.844509+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 2026-08-29T18:38:42.823571+00:00, confidence not recorded.
  - readme: https://github.com/shu223/iOS-9-Sampler (fetched 2026-08-28T04:08:02.844509+00:00, sha 028914396628)
- Data as of 2026-08-30T08:39:29.467469+00:00.