A gallery app showcasing custom animated transitions for iOS using UIViewControllerAnimatedTransitioning.
AnimatedTransitionGallery is an open-source iOS project that provides a collection of custom animated transitions for view controllers. It demonstrates how to implement various animation effects using the UIViewControllerAnimatedTransitioning protocol, solving the problem of limited built-in transition options in iOS apps.
iOS developers looking to enhance their app's user experience with custom navigation and modal presentation animations, particularly those working on apps requiring polished visual transitions.
Developers choose this project because it offers a wide variety of ready-to-use transition implementations, serves as a learning resource for custom animations, and provides visual examples through its gallery app format.
A gallery app of custom animated transitions for iOS.
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Offers over 50 unique animations like cube, flip, and ripple, providing a broad selection for diverse app needs, as listed in the README.
Built on Apple's UIViewControllerAnimatedTransitioning protocol, ensuring compatibility with iOS development best practices and easy integration into existing UIKit apps.
Includes transitions leveraging Core Image filters such as motion blur and disintegrate, demonstrated in the GIFs, for sophisticated visual enhancements.
Provides a gallery app to visually demo each transition, making it easy for developers to preview and select animations before implementation.
Requires git submodule updates and manual integration into projects, lacking support for modern package managers like CocoaPods or Swift Package Manager.
The project appears older and may not be regularly maintained, potentially leading to compatibility issues with newer iOS versions or Swift updates.
Focuses solely on UIKit, with no built-in support for SwiftUI or cross-platform frameworks, requiring additional adaptation for modern app development.
Some transitions, especially those using Core Image filters, can be resource-intensive and may impact performance on lower-end devices or in real-time scenarios.