Search Results for "c code compiler"

AudioKit is an entire audio development ecosystem of code repositories, packages, libraries, algorithms, applications, playgorunds, tests, and scripts, built and used by a community of audio programmers, app developers, engineers, researchers, scientists, musicians, gamers, and people new to programming. An important goal for AudioKit is to allow it to grow and be maintainable by a handful of volunteers. For this reason we have extensive tests that are run whenever changes are made to any...

...Check out LoaderUI (ready to use with Swift Package Mananger supported) for SwiftUI implementation of this. Cocoapods is a dependency manager for Swift and Objective-C Cocoa projects. To use NVActivityIndicatorView with CocoaPods, add it in your Podfile. Carthage is intended to be the simplest way to add frameworks to your Cocoa application. The Swift Package Manager is a tool for managing the distribution of Swift code.

WeScan makes it easy to add scanning functionalities to your iOS app! It's modeled after UIImagePickerController, which makes it a breeze to use. The Swift Package Manager is a tool for automating the distribution of Swift code and is integrated into the swift compiler. It is in early development, but WeScan does support its use on supported platforms. Once you have your Swift package set up, adding WeScan as a dependency is as easy as adding it to the dependencies value of your Package. swift. Carthage is a decentralized dependency manager that builds your dependencies and provides you with binary frameworks. ...

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. ...