# shu223/iOS7-Sampler

Code examples for the new features of iOS 7.

Repository: https://github.com/shu223/iOS7-Sampler
Canonical: https://ross.abutalabs.com/products/ios7-sampler
Language: Objective-C
License: MIT
License Family: permissive
Last push: 2020-03-28T22:35:42+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": 4727, "days_push": 2349, "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 2894, forks 463 (observed 2026-08-28T04:07:28.631274+00:00)

## What it is
A collection of Objective-C code examples demonstrating the new features introduced in iOS 7, such as dynamic behaviors, speech synthesis, custom transitions, and image filters. It serves as a sample-code reference for iOS developers learning the iOS 7 SDK.

## Use cases
- learn iOS 7 new APIs with example code
- see how to use AVSpeechSynthesizer for text-to-speech
- implement custom view controller transitions
- record 240fps slow-motion video with AVFoundation
- detect smiles with CIDetector
- apply new CIFilter photo effects
- get started with Sprite Kit
- demo iBeacon region monitoring

## When to choose
- you want runnable Objective-C samples for iOS 7-era APIs
- you need quick reference implementations for UIKit dynamics, transitions, or Core Image filters

## When to avoid
- you target modern iOS versions and want up-to-date Swift examples
- you need a production-ready library rather than demo code

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: speech-recognition, image-processing, video-processing, animation, graphics
- domain: mobile-development, tutorials, apple-ecosystem
- platform: cpp
- tags: objective-c, ios7, code-samples, avfoundation, sprite-kit, core-image, ibeacon, mapkit, ios, swift

## Member repositories
- shu223/iOS7-Sampler (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:28.631274+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 2026-08-30T07:35:18.074780+00:00, confidence not recorded.
  - readme: https://github.com/shu223/iOS7-Sampler (fetched 2026-08-28T04:07:28.631274+00:00, sha c9a26fcab33a)
- Data as of 2026-08-30T08:39:29.467469+00:00.