An iOS icon font library supporting FontAwesome, Material, Octicons, and other popular icon sets.
FontAwesomeKit is an iOS library that provides a unified interface for using icon fonts in iOS applications. It solves the problem of managing multiple icon sets by offering a single API to access icons from FontAwesome, Material Design, Octicons, and other popular collections, enabling developers to use scalable vector icons instead of bitmap images.
iOS developers building applications that require scalable, customizable icons, particularly those using Swift or Objective-C who want to integrate icon fonts without managing font files and rendering logic manually.
Developers choose FontAwesomeKit for its comprehensive support of multiple icon sets, clean NSAttributedString-based API, and ability to generate UIImage objects directly from icons, simplifying icon integration across different UI components.
Icon font library for iOS. Currently supports Font-Awesome, Foundation icons, Zocial, and ionicons.
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Supports six major icon fonts including FontAwesome 4.7 and Material 2.0.0, offering over 2,700 icons in total for diverse use cases without managing multiple libraries.
Uses NSAttributedString for flexible styling, making it easy to apply colors and attributes, and generates UIImages for controls like UIBarButtonItem that don't support attributed strings.
Includes stacked icons for layered compositions and allows custom font integration via subclassing, providing extensibility beyond pre-packaged sets.
Offers a modern API with methods for setting attributes and drawing images, reducing boilerplate code compared to manual font handling.
The library ships with older icon set versions; for instance, FontAwesome 4.7 is outdated compared to the current version 6, limiting access to newer icons without manual updates.
Designed primarily for UIKit, so integration with SwiftUI requires additional work like UIViewRepresentable wrappers, which isn't as seamless as native solutions.
Adding custom icon fonts necessitates implementing a FAKIcon subclass, as shown in a separate demo repository, adding steps and potential errors compared to drop-in alternatives.