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Use Nimble to express the expected outcomes of Swift or Objective-C expressions. Inspired by Cedar. Apple's Xcode includes the XCTest framework, which provides assertion macros to test whether code behaves properly. XCTest assertions have a couple of drawbacks. Not enough macros. There's no easy way to assert that a string contains a particular substring, or that a number is less than or equal to another.

Quick is a behavior-driven development framework for Swift and Objective-C. Inspired by RSpec, Specta, and Ginkgo. Quick comes together with Nimble, a matcher framework for your tests. Certain versions of Quick and Nimble only support certain versions of Swift. Depending on which version of Swift your project uses, you should use specific versions of Quick and Nimble. When code doesn't work the way it's supposed to, unit tests should make it clear exactly what's wrong. ...

...Swift Package Manager, CocoaPods, and Carthage integrations are the preferred and recommended approaches. The Swift Package Manager is a tool for automating the distribution of Swift code and is integrated into Xcode and the Swift compiler. This is the recommended installation method. Updates to SwiftyStoreKit will always be available immediately to projects with SPM. SPM is also integrated directly with Xcode.

PMHTTP is an HTTP framework built around URLSession and designed for Swift while retaining Obj-C compatibility. We think URLSession is great. But it was designed for Obj-C and it doesn't handle anything beyond the networking aspect of a request. This means no handling of JSON, and it doesn't even provide multipart/form-data uploads. PMHTTP leaves the networking to URLSession and provides everything else.

GPUImage 2 is the second generation of the GPUImage framework, an open source project for performing GPU-accelerated image and video processing on Mac, iOS, and now Linux. The original GPUImage framework was written in Objective-C and targeted Mac and iOS, but this latest version is written entirely in Swift and can also target Linux and future platforms that support Swift code. The objective of the framework is to make it as easy as possible to set up and perform realtime video processing or machine vision against image or video sources. By relying on the GPU to run these operations, performance improvements of 100X or more over CPU-bound code can be realized. ...