Open Source Swift System Software

Controls your external display brightness and volume and shows native OSD. Use menubar extra sliders or the keyboard, including native Apple keys.

A lightweight tool used to smooth scrolling and set scroll direction independently for your mouse on MacOS. Mos separates the touchpad and mouse scrolls independently, then, you can set the direction of the touchpad and mouse wheel separately. Also, Mos provides smooth scrolling for your mouse, whether you are a Windows user or a MacOS, you can move freely. Mos's special interpolation algorithm can make every mouse roll as smooth and silky as possible. Mos can independently manage the scrolling behavior of each application. For some annoying programs, we help you.

Hot is macOS menu bar application that displays the CPU speed limit due to thermal issues. CPU throttling is a power management technique in computer architecture whereby the frequency of a microprocessor can be automatically adjusted "on the fly" depending on the actual need, to conserve power and reduce the amount of heat generated by the chip.

Stats currently supported on macOS 10.13 (High Sierra) and higher. Stats is an application that allows you to monitor your macOS system. CPU utilization, GPU utilization, memory usage, disk utilization, sensors information (Temperature/Voltage/Power), battery level, network usage, fans speed, fan control, and Bluetooth devices. Supports many languages, such as English, Polski, Українська, Русский, and many more. You can help by adding a new language or improve existing translation.

KeyboardKit helps you build custom keyboard extensions with Swift and SwiftUI. KeyboardKit is a Swift-based SDK that helps you build custom keyboard extensions with Swift and SwiftUI. It extends the native keyboard APIs and provides you with a lot of functionality. The KeyboardKit project is open-source and completely free. It's hosted at GitHub, which is where you find information, documentation, sample code, demo apps etc. KeyboardKit Pro is a license-based extension to KeyboardKit. It unlocks a bunch of pro features, like more locales, localized system keyboards, local and remote autocomplete etc. KeyboardKit comes with support for 50+ locales, with more being added over time. KeyboardKit has tools for customizing everything from keys, key behavior, layout, callout actions, audio & haptic feedback, colors and styling, autocomplete etc. The KeyboardKit app let you create keyboards directly on your iPhone and iPad.

Bagel is a little native iOS network debugger. It's not a proxy debugger so you don't have to mess around with certificates, proxy settings etc. As long as your iOS devices and your Mac are in the same network, you can view the network traffic of your apps separated by the devices or simulators. Most basic usage is to start Bagel iOS before any network operation. Since Bagel exposes every request info to the public it would be better if you disable it for the store versions. By default, Bagel gets your project name and device information. The desktop client uses this information to separate projects and devices. You can configure these if you wish. Bagel framework communicates with the desktop client by using Bonjour protocol. You can also configure these Netservice parameters.

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. This is particularly noticeable in mobile or embedded devices. On an iPhone 4S, this framework can easily process 1080p video at over 60 FPS. On a Raspberry Pi 3, it can perform Sobel edge detection on live 720p video at over 20 FPS.

This package lets you add support for user-customizable global keyboard shortcuts to your macOS app in minutes. It's fully sandbox and Mac App Store compatible. And it's used in production by Dato, Jiffy, Plash, and Lungo.

You’re a smart developer. You probably use Alamofire to abstract away access to URLSession and all those nasty details you don’t really care about. But then, like lots of smart developers, you write ad hoc network abstraction layers. They are probably called APIManager or NetworkModel, and they always end in tears. So the basic idea of Moya is that we want some network abstraction layer that sufficiently encapsulates actually calling Alamofire directly. It should be simple enough that common things are easy, but comprehensive enough that complicated things are also easy. If you use Alamofire to abstract away URLSession, why not use something to abstract away the nitty gritty of URLs, parameters, etc? After some setup, using Moya is really simple. Even cooler are the reactive extensions. Moya provides reactive extensions for ReactiveSwift and RxSwift.

SwiftNIO is a cross-platform asynchronous event-driven network application framework for rapid development of maintainable high performance protocol servers & clients. Low-level protocol implementations are often a collection of ChannelHandlers that implement a protocol but still require the user to have a good understanding of SwiftNIO. Often, low-level protocol implementations will then be wrapped in high-level libraries with a nicer, more user-friendly API. High-level implementations are usually libraries that come with an API that doesn't expose SwiftNIO's ChannelPipeline and can therefore be used with very little (or no) SwiftNIO-specific knowledge. 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.