# cparnot/ASCIImage

Create UIImage / NSImage instances with NSString and ASCII art

Repository: https://github.com/cparnot/ASCIImage
Canonical: https://ross.abutalabs.com/products/asciimage
Language: Objective-C
License: MIT
License Family: permissive
Last push: 2015-05-05T19:06:51+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": 4189, "days_push": 4138, "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 1505, forks 67 (observed 2026-08-28T04:04:54.953939+00:00)

## What it is
An Objective-C library that creates UIImage and NSImage instances from ASCII art defined in NSString literals. Shapes are rendered as vector bezier paths, letting developers draw simple icons and images directly in code.

## Use cases
- draw simple icons in code without image assets
- create uiimages from ascii art strings
- generate vector images programmatically on ios
- replace photoshop for simple shape graphics
- embed images directly in source code

## When to choose
- you need simple line-and-shape images defined inline in Swift or Objective-C code
- you want resolution-independent vector images without shipping asset files

## When to avoid
- you need complex or photographic images
- you need actively developed features or modern platform support

## Facets
- artifact type: library
- maturity: maintenance
- function: image-processing, graphics
- domain: graphics, developer-tools, apple-ecosystem
- platform: cpp
- tags: ascii-art, objective-c, cocoapods, vector-drawing, uiimage, nsimage, macos, ios

## Member repositories
- cparnot/ASCIImage (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:54.953939+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 2026-08-30T04:32:41.872904+00:00, confidence not recorded.
  - readme: https://github.com/cparnot/ASCIImage (fetched 2026-08-28T04:04:54.953939+00:00, sha c90866d644bc)
- Data as of 2026-08-30T08:39:29.467469+00:00.