# AaronRandall/Screentendo

Turn your screen into a playable level of Mario

Repository: https://github.com/AaronRandall/Screentendo
Canonical: https://ross.abutalabs.com/products/screentendo
Homepage: http://aaronrandall.com/blog/screentendo/
Language: Objective-C
License Family: other
Last push: 2015-05-26T14:14:54+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": 4168, "days_push": 4117, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1096, forks 66 (observed 2026-08-28T04:03:34.460602+00:00)

## What it is
Screentendo is a macOS desktop application that overlays a semi-transparent window on any part of your screen and converts the underlying content into a playable Super Mario Bros level. It captures a screenshot of the target region, applies image processing filters, and generates a game level using Sprite Kit.

## Use cases
- turn a chart or webpage into a playable Mario level
- play a game generated from any on-screen content
- experiment with screen capture and image processing on macOS
- learn Sprite Kit and Cocoa app development from source

## When to choose
- you want a fun novelty app that gamifies your screen on macOS
- you want a hacky example of Quartz Window Services and Sprite Kit usage

## When to avoid
- you need a maintained or production-quality application
- you are on Windows or Linux
- you need a licensed project for redistribution

## Facets
- artifact type: application
- maturity: abandoned
- function: image-processing, game, graphics
- domain: gaming-tools, desktop-applications, image-processing
- platform: -
- tags: sprite-kit, cocoa, super-mario, screen-capture, novelty-app, objective-c, macos, desktop

## Member repositories
- AaronRandall/Screentendo (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:34.460602+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 2026-08-30T06:46:37.917917+00:00, confidence not recorded.
  - readme: https://github.com/AaronRandall/Screentendo (fetched 2026-08-28T04:03:34.460602+00:00, sha 57e5a2ab5ce4)
  - homepage: http://aaronrandall.com/blog/screentendo/ (fetched 2026-08-29T12:49:50.377087+00:00, sha eacd658da00f)
- Data as of 2026-08-30T08:39:29.467469+00:00.