# devxoul/SwiftyImage

🎨 Generate image resources in Swift

Repository: https://github.com/devxoul/SwiftyImage
Canonical: https://ross.abutalabs.com/products/swiftyimage
Language: Swift
License: MIT
License Family: permissive
Topics: swift, image
Last push: 2022-02-17T03:14:09+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 4068, "days_push": 1658, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1080, forks 65 (observed 2026-08-28T04:03:30.560498+00:00)

## What it is
A Swift library for generating UIImage resources programmatically using fluent method chaining, supporting fills, gradients, borders, corner radii, and image combination with the + operator. It targets iOS and wraps CGContext-based image manipulation in a concise API.

## Use cases
- generate placeholder images in swift
- create rounded bordered images programmatically
- make gradient-filled uiimages in code
- apply color overlay to an existing image
- build resizable images without asset catalogs
- combine two uiimages with an operator

## When to choose
- you need to generate simple UI images at runtime in Swift without design assets
- you want a fluent chaining API for fills, borders, and corner radii on iOS
- you prefer creating resizable/placeholder images in code over shipping image assets

## When to avoid
- you need macOS support, which is not implemented
- you need advanced image editing or photo processing capabilities
- you need a library with frequent updates or active maintenance

## Facets
- artifact type: library
- maturity: maintenance
- function: image-processing, ui-components
- domain: mobile-development, image-processing
- platform: -
- tags: swift, uikit, cocoapods, method-chaining, image-generation, ios, mobile

## Member repositories
- devxoul/SwiftyImage (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:30.560498+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 2026-08-30T06:51:27.240321+00:00, confidence not recorded.
  - readme: https://github.com/devxoul/SwiftyImage (fetched 2026-08-28T04:03:30.560498+00:00, sha 54fab68e71ed)
- Data as of 2026-08-30T08:39:29.467469+00:00.