# shu223/ARKit-Sampler

Code examples for ARKit.

Repository: https://github.com/shu223/ARKit-Sampler
Canonical: https://ross.abutalabs.com/products/arkit-sampler
Language: Swift
License: MIT
License Family: permissive
Topics: ios, arkit, swift, swift-4, ios11, metal, coreml, scenekit
Last push: 2023-11-04T14:09:53+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": 3270, "days_push": 1033, "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 1553, forks 169 (observed 2026-08-28T04:05:02.860341+00:00)

## What it is
A collection of Swift code examples demonstrating ARKit features on iOS, including plane detection, virtual objects, face tracking, and Metal/Core ML integration. It is an open-source demo app built in Xcode that runs on physical iOS devices only.

## Use cases
- learn how to detect planes with ARKit
- example of placing virtual objects in AR
- how to do AR face tracking in Swift
- integrate Core ML with ARKit for object tagging
- render AR content with Metal shaders
- measure real-world distances with AR
- draw in 3D space with ARKit
- use usdz models in an AR app

## When to choose
- you are learning ARKit on iOS and want runnable Swift examples
- you need reference code for plane detection, face tracking, or AR interactions
- you want to see ARKit combined with Core ML or Metal

## When to avoid
- you need a production-ready AR framework or library to ship
- you want to test on the iOS Simulator (it does not run there)
- you target platforms other than iOS

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: graphics, machine-learning, simulation
- domain: mobile-development, graphics, machine-learning, tutorials
- platform: -
- tags: arkit, augmented-reality, sample-code, scenekit, metal, coreml, face-tracking, plane-detection, ios, swift

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

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:02.860341+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 2026-08-30T04:30:10.789600+00:00, confidence not recorded.
  - readme: https://github.com/shu223/ARKit-Sampler (fetched 2026-08-28T04:05:02.860341+00:00, sha 558808010805)
- Data as of 2026-08-30T08:39:29.467469+00:00.