Showing 11 open source projects for "development platforms"

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  • 1
    Foundation

    Foundation

    Provides core utilities, internationalization, and OS independence

    The Foundation framework defines a base layer of functionality that is required for almost all applications. It provides primitive classes and introduces several paradigms that define functionality not provided by either the Objective-C runtime and language or Swift standard library and language. This project, swift-corelibs-foundation, provides an implementation of the Foundation API for platforms where there is no Objective-C runtime. On macOS, iOS, and other Apple platforms, apps should...
    Downloads: 0 This Week
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  • 2
    APNGKit

    APNGKit

    High performance and delightful way to play with APNG format in iOS

    The APNGKit project is a high-performance framework for loading, displaying, and animating images in the UIKit / AppKit ecosystem (iOS, macOS, tvOS), specifically targeting the APNG (Animated PNG) image format. Unlike traditional static PNG images, APNG supports frame-by-frame animation with full-color images and transparency — yielding better visual fidelity than GIFs while remaining efficient. APNGKit offers a friendly API (e.g. APNGImage, APNGImageView) that behaves similarly to the...
    Downloads: 2 This Week
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  • 3
    Airtest

    Airtest

    UI Automation Framework for Games and Apps

    ¿Airtest provides cross-platform APIs, including app installation, simulated input, assertion and so forth. Airtest uses image recognition technology to locate UI elements so that you can automate games and apps without injecting any code. Airtest cases can be easily run on large device farms, using the command line or python API. HTML reports with detailed info and screen recording allow you to quickly locate failure points. NetEase builds Airlab on top of the Airtest Project. AirtestIDE is...
    Downloads: 6 This Week
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  • 4
    SwiftUIX

    SwiftUIX

    Extensions and additions to the standard SwiftUI library

    SwiftUIX attempts to fill the gaps of the still nascent SwiftUI framework, providing an extensive suite of components, extensions and utilities to complement the standard library. This project is by far the most complete port of missing UIKit/AppKit functionality, striving to deliver it in the most Apple-like fashion possible. The goal of this project is to complement the SwiftUI standard library, offering hundreds of extensions and views that empower you, the developer, to build...
    Downloads: 2 This Week
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    SwiftNIO

    SwiftNIO

    Network application framework for protocol servers and clients

    ...The implementations listed below do still do all of their I/O in SwiftNIO and integrate really well with the SwiftNIO ecosystem. SwiftNIO aims to support all of the platforms where Swift is supported. Currently, it is developed and tested on macOS and Linux.
    Downloads: 3 This Week
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  • 6
    Kitura

    Kitura

    A Swift web framework and HTTP server

    Kitura is a server-side Swift web framework and HTTP server created by IBM, featuring high-performance routing, middleware, templating, and JSON handling. Built on SwiftNIO, it enables the development of REST APIs, web applications, and server backends entirely in Swift across platforms.
    Downloads: 1 This Week
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  • 7
    RoughSwift

    RoughSwift

    Create hand-drawn, sketchy, comic shape in Swift

    Create hand-drawn, sketchy, comic shape in Swift. RoughSwift allows us to easily make shapes in a hand-drawn, sketchy, comic style in SwiftUI. Use the generator in draw function to specify which shape to render. The returned CALayer contains the rendered result in the correct size and is updated every time the generator is instructed. The beauty of CALayer is that we can further animate, transform (translate, scale, rotate) and compose them into more powerful shapes.
    Downloads: 0 This Week
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  • 8
    GPUImage 2

    GPUImage 2

    Framework for GPU-accelerated video and image processing

    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...
    Downloads: 0 This Week
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  • 9
    Bender

    Bender

    Easily craft fast Neural Networks on iOS

    Bender allows you to easily define and run neural networks on your iOS apps, it uses Apple’s MetalPerformanceShaders under the hood. Bender provides the ease of use of CoreML with the flexibility of a modern ML framework. Bender allows you to run trained models, you can use Tensorflow, Keras, Caffe, the choice is yours. Either freeze the graph or export the weights to files. You can import a frozen graph directly from supported platforms or re-define the network structure and load the...
    Downloads: 0 This Week
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  • 10
    RandomKit

    RandomKit

    Random data generation in Swift

    RandomKit is a Swift framework that makes random data generation simple and easy. RandomKit is possibly also compatible with FreeBSD, Android, and Windows (under Cygwin) but has not been tested for those platforms. The RandomGenerator protocol defines basic methods for generating primitive values and randomizing a buffer. All provided types that conform to RandomGenerator have a static default value that can be passed as an inout argument to generation functions. The RandomBytesGenerator...
    Downloads: 0 This Week
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  • 11
    Swift AI

    Swift AI

    The Swift machine learning library

    Swift AI is a high-performance deep learning library written entirely in Swift. We currently offer support for all Apple platforms, with Linux support coming soon. Swift AI includes a collection of common tools used for artificial intelligence and scientific applications. A flexible, fully-connected neural network with support for deep learning. Optimized specifically for Apple hardware, using advanced parallel processing techniques. We've created some example projects to demonstrate the...
    Downloads: 0 This Week
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