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NewsBlur is a personal news reader that brings people together to talk about the world. A new sound of an old instrument.
A dashboard for managing Parse Server
ProgressHUD is a lightweight and easy-to-use HUD for iOS. Over 5000+ animations.
A simple Keychain wrapper for iOS, macOS, tvOS, and watchOS
Mockito for Objective-C: creation, verification and stubbing of mock objects
A modern photo viewing experience for iOS.
Simple HTML5 Charts using the <canvas> tag
Pythonic task management & command execution.
Display and interact with SVG Images on iOS / OS X, using native rendering (CoreAnimation)
Asynchronous image downloader with cache support as a UIImageView category
A curated list of awesome iOS ecosystem, including Objective-C and Swift Projects
An open source interface component that makes use of the CoreText framework to render static text content using a highly customisable markup syntax.
An iOS and macOS audio visualization framework built upon Core Audio useful for anyone doing real-time, low-latency audio processing and visualizations.
Methods to allow using HTML code with CoreText
A simple, fast circular buffer implementation
This category applies Aspect Fill content mode to an image and if faces are detected it centers them instead of centering the image just by its geometrical center.
[EXPERIMENTAL] Graceful morphing effects for UILabel written in Swift.
An understated approach to iOS integration testing.
Efficient, convenient, and configurable screen recording for iOS apps
Beautiful charts for iOS/tvOS/OSX! The Apple side of the crossplatform MPAndroidChart.
The waterfall (i.e., Pinterest-like) layout for UICollectionView.
CCCryptor (AES encryption) wrappers for iOS and Mac in Swift. -- For ObjC, see RNCryptor/RNCryptor-objc
Highly customizable & feature rich notifications. Interactive dismiss. Custom Views. SwiftUI. Tap-to-hold. Progress. Written in Swift, compatible for ObjC!
[iOS] Animated analog flip numbers like airport/train-station displays (Swift/SwiftUI ready)
Simple library to detect motion type (walking, running, automotive) and count users steps. This library will make motion detection much more easily.