Search Results for "mirror"

The most popular, free, and open-source component library for Tailwind CSS.daisyUI adds component class names to Tailwind CSS so you can make beautiful websites faster than ever. In a Tailwind CSS project, you need to write utility class names for every element. Thousands of class names just to style the most basic elements.

GPUImage3 is a Swift framework for GPU-accelerated image and video processing on macOS and iOS. It is the third generation of the GPUImage project and replaces the earlier OpenGL-based approach with Apple’s Metal framework. The library aims to make real-time video processing and machine vision easier by hiding much of the GPU rendering boilerplate. It supports image and video sources, custom shader-based processing, and filter pipelines. Its API is intended to stay close to GPUImage2 so...

OAuth2 frameworks for macOS, iOS, and tvOS written in Swift 5.0. OAuth2 requires Xcode 10.2, the built framework can be used on OS X 10.11 or iOS 8 and later. Happy to accept pull requests, please see CONTRIBUTING.md. Since the Swift language is constantly evolving I have adopted a versioning scheme mirroring Swift versions: the framework version's first two digits are always the Swift version the library is compatible with, see releases. Code compatible with brand-new Swift versions should...

Peek 5 with an all-new design and all-new features. Whether you're a developer, designer or QA/tester, Peek can help you at all stages of your development process. All inspectors and attributes have now been unified into a single window, making inspection simpler and faster than ever before. Feeling overwhelmed with all the information Peek has to offer? Simply tap the header to expand/collapse any section. Peek will even remember your choice across launches! Peek now supports nested...

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...