A library that computes UICollectionView cell sizes for displaying images in a variable height fixed aspect ratio grid.
Greedo Layout for iOS is a library that computes the optimal cell sizes for UICollectionView to display images in a variable height fixed aspect ratio grid. It solves the problem of creating visually balanced image galleries where images have different dimensions but need to maintain consistent aspect ratios across a grid layout.
iOS developers building image-heavy applications like photo galleries, social media feeds, or e-commerce product grids that require adaptive and aesthetically pleasing layouts.
Developers choose Greedo Layout because it provides a specialized, lightweight solution for grid-based image layouts that automatically handles cell size calculations, ensuring images display correctly without manual adjustments or complex custom layout code.
Full aspect ratio grid layout for iOS
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Computes optimal cell sizes for UICollectionView based on image aspect ratios, reducing manual layout code as described in the README's focus on solving grid layout problems.
Maintains fixed aspect ratios across the grid, ensuring images display without distortion, which aligns with the library's goal of creating balanced image galleries.
Available as a CocoaPod with straightforward Podfile configuration, making installation simple as per the README's detailed setup instructions.
Provides a specialized solution for image grids without bloat, keeping the library minimal and efficient for its intended use case.
The README is minimal with no code examples or detailed usage guides, which can slow down adoption and require developers to rely on trial and error.
Only supports installation via CocoaPods, lacking alternatives like Swift Package Manager or Carthage, as indicated in the README's sole focus on CocoaPods.
Specifically designed for image grids in UICollectionView, making it unsuitable for other content types or complex layout requirements beyond fixed aspect ratios.
Does not include features for image loading or caching, requiring additional libraries or custom code, which adds complexity to implementation.