# exyte/ARTetris

Augmented Reality Tetris made with ARKit and SceneKit

Repository: https://github.com/exyte/ARTetris
Canonical: https://ross.abutalabs.com/products/artetris
Language: Swift
License: MIT
License Family: permissive
Topics: swift, arkit, ios, scenekit, tetromino
Last push: 2023-07-25T02:56:23+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": 3351, "days_push": 1135, "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 1525, forks 173 (observed 2026-08-28T04:04:58.329786+00:00)

## What it is
An augmented reality Tetris game for iOS built with ARKit and SceneKit, placing a playable Tetris well on detected horizontal surfaces. It includes a full Tetris game engine with tetromino definitions, rotations, and gesture controls.

## Use cases
- play tetris in augmented reality on iphone
- learn how to build ARKit games with SceneKit
- example of plane detection in ARKit
- swift AR game source code to study
- build an AR tetromino stacking game

## When to choose
- you want a working example of ARKit + SceneKit game development in Swift
- you need a reference implementation of a Tetris engine with AR integration
- you have an A9-chip-or-newer iOS device and want to demo AR gaming

## When to avoid
- you need a cross-platform AR solution (Android/ARCore)
- your target devices lack ARKit support (pre-A9 chips)
- you want a production-ready, actively maintained game rather than a demo project

## Facets
- artifact type: application
- maturity: maintenance
- function: game-engine, graphics, gui
- domain: gaming-tools, mobile-development
- platform: -
- tags: arkit, scenekit, augmented-reality, tetris, swift, game-development, ios, mobile

## Member repositories
- exyte/ARTetris (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:58.329786+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 2026-08-30T04:31:39.325621+00:00, confidence not recorded.
  - readme: https://github.com/exyte/ARTetris (fetched 2026-08-28T04:04:58.329786+00:00, sha 6abb24fb4e3b)
- Data as of 2026-08-30T08:39:29.467469+00:00.