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Tools","DevOps Tools","Flutter Tools","Swift Development","Objective-C Development","Adding External Storage","Game Development Learning Resources","Java Tools","React Tools and Frameworks","Security Tools","Tools","Virtualization","Python Frameworks and Tools","C/C++ Tools","C# Tools and Frameworks","Node.js Learning Resources","Flutter Learning Resources","License","ML frameworks \u0026 applications","C/C++ Learning Resources","Java Learning Resources","React Learning Resources","Game Engines","Tools for Robotics","Game Streaming","Networking Learning Resources","Protocols","Kubernetes Learning Resources","Open Source Security Learning Resources",".NET Learning Resources","C# Learning Resources","Robotics Learning Resources","Security Standards, Frameworks and Benchmarks","Python Learning Resources","Learning Resources","Augmented Reality (AR) \u0026 Virtual Reality (VR)","Online ML Learning Resources","Steam","Game Emulators","DevOps Learning Resources","Performance Benchmarks","Apple Arcade","Privacy Learning Resources"],"sub_categories":["Objective-C Tools, Libraries, and Frameworks","Swift Tools, Libraries, and Frameworks","Swift Learning Resources","Objective-C Learning Resources"],"readme":"\u003ch1 align=\"center\"\u003e\n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/121821425-ba97f100-cc4d-11eb-895f-fa4f15a2cb8c.png\"\u003e\n  \u003cbr /\u003e\n  macOS/iOS/iPadOS Guide\n\u003c/h1\u003e\n\n#### A guide on setting up macOS/iOS/iPadOS with all the essential Applications, Tools, and Games to make your experience with  macOS/iOS/iPadOS great! \n\n**Note: You can easily convert this markdown file to a PDF in [VSCode](https://code.visualstudio.com/) using this handy extension [Markdown PDF](https://marketplace.visualstudio.com/items?itemName=yzane.markdown-pdf).**\n\n\u003cp align=\"center\"\u003e\n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/145648808-8e05ead9-16dd-4782-90f4-ce2100ffc535.png\"\u003e\n  \u003cbr /\u003e\n\u003c/p\u003e\n\n# Table of Contents\n\n1. [Getting Started](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide/blob/main/README.md#getting-started)\n\n2. [Getting Software](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide/blob/main/README.md#getting-software)\n\n3. [macOS/iOS/iPadOS Development](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide/blob/main/README.md#macosiosipados-development)\n\n4. [Apple Silicon](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide/blob/main/README.md#apple-silicon)\n\n5. [Gaming](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide/blob/main/README.md#gaming)\n\n6. [Game Development](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide/blob/main/README.md#game-development)\n\n7. [Setting up a Windows 10 Workspace](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide/blob/main/README.md#setting-up-a-windows-10-workspace)\n\n8. [Using Android and Android Apps on macOS](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide/blob/main/README.md#using-android-and-android-apps-on-macos)\n\n9. [Professional Audio/Video Editing](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide/blob/main/README.md#professional-audio--video-editing)\n\n10. [3D Graphics and Design](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide/blob/main/README.md#3d-graphics-and-design)\n\n11. [Kubernetes](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide/blob/main/README.md#kubernetes)\n\n12. [Machine Learning](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide/blob/main/README.md#machine-learning)\n\n13. [Robotics](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide/blob/main/README.md#robotics)\n\n14. [Open Source Security](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide/blob/main/README.md#open-source-security)\n\n15. [Differential Privacy](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide/blob/main/README.md#differential-privacy)\n\n16. [DevOps](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide/blob/main/README.md#devops)\n\n17. [React Native Development](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide#react-native-development)\n\n18. [Flutter Development](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide/blob/main/README.md#flutter-development)\n\n19. [Node.js Development](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide/blob/main/README.md#nodejs-development) \n\n20. [C/C++ Development](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide/blob/main/README.md#cc-development)\n\n21. [Java Development](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide/blob/main/README.md#java-development)\n\n22. [C# Development](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide#c-development)\n\n23. [.NET Development](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide#net-development)\n\n24. [Python Development](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide/blob/main/README.md#python-development)\n\n25. [Networking](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide/blob/main/README.md#networking)\n\n26. [Databases](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide/blob/main/README.md#databases)\n\n# Getting Started\n\n[Back to the Top](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide/blob/main/README.md#table-of-contents)\n\n[macOS](https://www.apple.com/macos/monterey-preview/) is an advanced desktop operating system (OS) for Apple's series of desktops and laptops.\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/121821090-8d4a4380-cc4b-11eb-896a-74e1be0fb3c6.png\"\u003e\n\u003cbr /\u003e\n\u003c/p\u003e\n\n**macOS Monterey. Source: [Apple](https://www.apple.com/macos/monterey-preview/)**\n\n[iOS](https://www.apple.com/ios/ios-15-preview/) is an advanced mobile operating system (OS) for Apple's series of iPhone products.\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/121821096-976c4200-cc4b-11eb-9006-641b1c99a9e7.png\"\u003e\n\u003cbr /\u003e\n\u003c/p\u003e\n\n**iOS 15. Source: [Apple](https://www.apple.com/ios/ios-15-preview/)**\n\n[iPadOS](https://www.apple.com/ipados/ipados-preview/) is an advanced mobile operating system (OS) for Apple's series of iPad products.\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/121821093-93402480-cc4b-11eb-9a02-42e75c811c39.png\"\u003e\n\u003cbr /\u003e\n\u003c/p\u003e\n\n**iPadOS 15. Source: [Apple](https://www.apple.com/ipados/ipados-preview/)**\n\n[WatchOS](https://www.apple.com/watchos/watchos-preview/) is an advanced mobile operating system (OS) for Apple's series of Watch products.\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/121821100-9b985f80-cc4b-11eb-9c10-1e3aac33feda.png\"\u003e\n\u003cbr /\u003e\n\u003c/p\u003e\n\n**WatchOS 8. Source: [Apple](https://www.apple.com/watchos/watchos-preview/)**\n\n[Universal Control](https://www.apple.com/newsroom/2021/10/macos-monterey-is-now-available/) is a software feature for Apple devices such as Macbooks and iPads that makes it possible to use a single keyboard, mouse, and trackpad with your Mac and iPad as long as they're side-by-side. Much like SideCar, there are limited settings for Universal Control. Without a second device connected, you can go to System Preferences -\u003e Displays and click Advanced to pull up Universal Control settings. If a device is already connected, you'll have to go to Displays -\u003e Display Settings -\u003e Advanced.\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/153113830-cf6380b4-af80-4252-894a-84a4eada82e6.png\"\u003e\n\u003cbr /\u003e\n\u003c/p\u003e\n\nBluetooth, Wi-Fi, and Handoff must be enabled on each device, and they must be within 30 feet. If you prefer to use Universal Control wired, the devices can be connected via USB and you must trust your Mac on your iPad. At the moment, Apple does not mention support for Ethernet but we will test this ourselves during the beta period.\n\nYou must also have supported devices. Apple says supported devices include:\n\n - MacBook Pro (2016 and later)\n - MacBook (2016 and later)\n - MacBook Air (2018 and later)\n - iMac (2017 and later)\n - iMac (5K Retina 27-inch, Late 2015)\n - iMac Pro, Mac mini (2018 and later)\n - Mac Pro (2019)\n - Any iPad Pro\n - iPad Air (3rd generation and later)\n - iPad (6th generation and later)\n - iPad mini (5th generation and later)\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/153113829-d6ba2c62-4639-4576-90c5-0456b1e2f06e.png\"\u003e\n\u003cbr /\u003e\n\u003c/p\u003e\n\n## Adding External Storage\n\n[Sabrent XTRM Q](https://www.sabrent.com/rocket-xtrmq/) is a perfect SSD for all your creative pursuits: high-res photos, videos, sound files, etc. It's perfect for saving, creating and editing available in 500GB, 1TB, 2TB, and 4TB drives.\n\n[Shell Thunder](https://m.fledging.net/products/shell-thunder) is a high-performance Intel-Certified Thunderbolt 3 SSD Enclosure engineered for active cooling with smart fan technology. Shell Thunder is designed for 2280 and 2260 m.2 NVME SSDs for macOS and Windows.\n\n[Orico USB4.0 NVMe SSD Enclosure](https://www.orico.cc/us/product/detail/7328.html) is a high-performance SSD Enclosure engineered with up to a 40Gbps transmission rate and 2 TB capacity. It supports Windows, macOS, and Linux devices.\n\n[USB-C to Lightning Cable (2 m)](https://www.apple.com/shop/product/MQGH2AM/A/usb-c-to-lightning-cable-2-m) is cable to connect your iPhone, iPad, or iPod with Lightning connector to your USB-C or Thunderbolt 3 (USB-C) enabled Mac for syncing and charging, or to your USB-C enabled iPad for charging.\n\n\n# Getting Software\n\n[Back to the Top](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide/blob/main/README.md#table-of-contents)\n\n[Apple App Store](https://www.apple.com/app-store/)\n\n[Get the Top Apps of 2020](https://apps.apple.com/us/story/id1535572713)\n\n[Developing for the App Store](https://www.apple.com/app-store/developing-for-the-app-store/)\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/110990017-99aac180-8327-11eb-8a01-f9d252202835.png\"\u003e\n\u003cbr /\u003e\n\u003c/p\u003e\n\n[Setapp](https://setapp.com/) is a large suite of powerful Mac apps available by subscription($9.99/month) that will get you [210+ tools](https://setapp.com/apps) for any job, from drive cleaning, software/web development and writing.\n\n\u003cp align=\"center\"\u003e\n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/115629643-9d7f1b80-a2b7-11eb-801d-8db74af83847.png\"\u003e\n  \u003cbr /\u003e\n\u003c/p\u003e\n\n[Homebrew](https://brew.sh) is the missing Package Manager for your macOS, Linux, and Windows 10 (with [Windows Subsystem for Linux (WSL)](https://docs.microsoft.com/en-us/windows/wsl/)) system. Homebrew is an essential tool for any developer/engineer.\n\n\u003cp align=\"center\"\u003e\n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/115158810-ee3b0e00-a044-11eb-98b4-3c0dc35ff972.png\"\u003e\n  \u003cbr /\u003e\n\u003c/p\u003e\n\n\n# macOS/iOS/iPadOS Development\n\n[Back to the Top](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide/blob/main/README.md#table-of-contents)\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/110880054-dd9fb700-8292-11eb-9478-a5d62dc76f9d.png\"\u003e\n\u003cbr /\u003e\nDeveloping with SwiftUI in Xcode 12\n\u003c/p\u003e\n\n[Xcode Cloud](https://developer.apple.com/xcode-cloud/) is a continuous integration and delivery service built into Xcode and designed expressly for Apple developers. It accelerates the development and delivery of high-quality apps by bringing together cloud-based tools that help you build apps, run automated tests in parallel, deliver apps to testers, and view and manage user feedback.\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/121821101-9cc98c80-cc4b-11eb-9dde-e3efa2ea8154.png\"\u003e\n\u003cbr /\u003e\n\u003c/p\u003e\n\n**Xcode Cloud. Source: [Apple](https://developer.apple.com/xcode-cloud/)**\n\n## Swift Development\n\n\u003cp align=\"center\"\u003e\n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/93719675-03949c00-fb39-11ea-8f81-bf4cd544c17f.png\"\u003e\n\u003c/p\u003e\n\n\n### Swift Learning Resources\n\n[Swift](https://developer.apple.com/swift/) is Apple's main programming language for iOS, macOS, watchOS, and tvOS app development. Though, many parts of Swift will be familiar to developers from their experience of developing in C and Objective-C.\n\n[Swift Evolution](https://github.com/apple/swift-evolution) maintains proposals for changes and user-visible enhancements to the Swift Programming Language.\n\n[Xcode + Swift](https://developer.apple.com/swift/resources/) makes developing applications for MacOS and iOS fast and fun.\n\n[Swift 5.3 Basics](https://docs.swift.org/swift-book/LanguageGuide/TheBasics.html)\n\n[Start Developing iOS Apps with Swift](https://developer.apple.com/library/archive/referencelibrary/GettingStarted/DevelopiOSAppsSwift/)\n\n[Apple Developer Documentation](https://developer.apple.com/documentation)\n\n[Apple Foundation Framework](https://developer.apple.com/documentation/foundation)\n\n[Apple Core Animation Framework](https://developer.apple.com/documentation/quartzcore)\n\n[Apple Core Graphics Framework](https://developer.apple.com/documentation/coregraphics)\n\n[Virtualization Framework](https://developer.apple.com/documentation/virtualization)\n\n[Paravirtualized Graphics Framework](https://developer.apple.com/documentation/paravirtualizedgraphics)\n\n[Getting Started with LLDB](https://developer.apple.com/library/archive/documentation/IDEs/Conceptual/gdb_to_lldb_transition_guide/document/lldb-basics.html)\n\n[Mac Catalyst - iOS - Human Interface Guidelines](https://developer.apple.com/design/human-interface-guidelines/ios/overview/mac-catalyst/)\n\n[Amazon EC2 Mac Instances](https://aws.amazon.com/ec2/instance-types/mac/)\n\n[Swift GitHub](https://github.com/apple/swift) \n\n[Apple Developer Forums](https://developer.apple.com/forums/)\n\n[Swift Forums](https://forums.swift.org/)\n\n[Google's Swift Style Guide](https://google.github.io/swift/)\n\n[Swift Courses Online from Coursera](https://www.coursera.org/courses?query=swift)\n\n[Swift Courses Online from Udemy](https://www.udemy.com/topic/swift/)\n\n[Learning Swift course from Codecademy](https://www.codecademy.com/learn/learn-swift)\n\n### Swift Tools, Libraries, and Frameworks\n\n[Xcode](https://developer.apple.com/xcode/) includes everything developers need to create great applications for Mac, iPhone, iPad, Apple TV, and Apple Watch. Xcode provides developers a unified workflow for user interface design, coding, testing, and debugging. Xcode 12 is built as an Universal app that runs 100% natively on Intel-based CPUs and Apple Silicon. It includes a unified macOS SDK that features all the frameworks, compilers, debuggers, and other tools you need to build apps that run natively on Apple Silicon and the Intel x86_64 CPU.\n\n[SwiftUI](https://developer.apple.com/documentation/swiftui) is a user interface toolkit that provides views, controls, and layout structures for declaring your app's user interface. The SwiftUI framework provides event handlers for delivering taps, gestures, and other types of input to your application.\n\n[UIKit](https://developer.apple.com/documentation/uikit) is a framework provides the required infrastructure for your iOS or tvOS apps. It provides the window and view architecture for implementing your interface, the event handling infrastructure for delivering Multi-Touch and other types of input to your app, and the main run loop needed to manage interactions among the user, the system, and your app.\n\n[AppKit](https://developer.apple.com/documentation/appkit) is a graphical user interface toolkit that contains all the objects you need to implement the user interface for a macOS app such as windows, panels, buttons, menus, scrollers, and text fields, and it handles all the details for you as it efficiently draws on the screen, communicates with hardware devices and screen buffers, clears areas of the screen before drawing, and clips views.\n\n[ARKit](https://developer.apple.com/augmented-reality/arkit/) is a set set of software development tools to enable developers to build augmented-reality apps for iOS developed by Apple. The latest version ARKit 3.5 takes advantage of the new LiDAR Scanner and depth sensing system on iPad Pro(2020) to support a new generation of AR apps that use Scene Geometry for enhanced scene understanding and object occlusion.\n\n[RealityKit](https://developer.apple.com/documentation/realitykit) is a framework to implement high-performance 3D simulation and rendering with information provided by the ARKit framework to seamlessly integrate virtual objects into the real world.\n\n[SceneKit](https://developer.apple.com/scenekit/) is a high-level 3D graphics framework that helps you create 3D animated scenes and effects in your iOS apps.\n\n[Mac Catalyst](https://developer.apple.com/mac-catalyst/) is a set of Apple APIs that developers can use to rapidly port their iOS apps to [Apple Silicon M1 Chip](https://www.apple.com/mac/m1/) and take full advantage of the new capabilities on the new Apple hardware.\n\n[Instruments](https://help.apple.com/instruments/mac/current/#/dev7b09c84f5) is a powerful and flexible performance-analysis and testing tool that’s part of the Xcode tool set. It’s designed to help you profile your iOS, watchOS, tvOS, and macOS apps, processes, and devices in order to better understand and optimize their behavior and performance.\n\n[Cocoapods](https://cocoapods.org/) is a dependency manager for Swift and Objective-C used in Xcode projects by specifying the dependencies for your project in a simple text file. CocoaPods then recursively resolves dependencies between libraries, fetches source code for all dependencies, and creates and maintains an Xcode workspace to build your project. \n\n[AppCode](https://www.jetbrains.com/objc/) is constantly monitoring the quality of your code. It warns you of errors and smells and suggests quick-fixes to resolve them automatically. AppCode provides lots of code inspections for Objective-C, Swift, C/C++, and a number of code inspections for other supported languages.\n\n[Vapor](https://github.com/vapor/vapor) is a web framework for Swift. It provides a beautifully expressive and easy to use foundation for your next website, API, or cloud project.\n\n[Hero](https://github.com/HeroTransitions/Hero) is a library for building iOS view controller transitions. It provides a declarative layer on top of the UIKit's cumbersome transition APIs—making custom transitions an easy task for developers.\n\n[Kingfisher](https://github.com/onevcat/Kingfisher) is a powerful, pure-Swift library for downloading and caching images from the web. It provides you a chance to use a pure-Swift way to work with remote images in your next app.\n\n[Realm](https://github.com/realm/realm-cocoa) is a mobile database that runs directly inside phones, tablets or wearables. This repository holds the source code for the iOS, macOS, tvOS \u0026 watchOS versions of Realm Swift \u0026 Realm Objective-C.\n\n[Perfect](https://github.com/PerfectlySoft/Perfect) is a complete and powerful toolbox, framework, and application server for Linux, iOS, and macOS (OS X). It provides everything a Swift engineer needs for developing lightweight, maintainable, and scalable apps and other REST services entirely in the Swift programming language for both client-facing and server-side applications.\n\n[Alamofire](https://github.com/Alamofire/Alamofire) is an HTTP networking library written in Swift.\n\n[Eureka](https://github.com/xmartlabs/Eureka) is an elegant iOS form builder in Swift \n\n[Carthage](https://github.com/Carthage/Carthage) is intended to be the simplest way to add frameworks to your Cocoa application. Carthage builds your dependencies and provides you with binary frameworks, but you retain full control over your project structure and setup. Carthage does not automatically modify your project files or your build settings.\n\n[ReactiveCocoa](https://github.com/ReactiveCocoa/ReactiveCocoa) is reactive extensions to Cocoa frameworks, built on top of ReactiveSwift.\n\n## Objective-C Development\n\n\u003cp align=\"center\"\u003e\n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/121821278-e6ff3d80-cc4c-11eb-9a57-c7aa13b88b30.png\"\u003e\n\u003c/p\u003e\n\n\n### Objective-C Learning Resources\n\n[Objective-C](https://developer.apple.com/library/archive/documentation/Cocoa/Conceptual/ProgrammingWithObjectiveC/Introduction/Introduction.html) was the primary programming language used for writing software for macOS and iOS until [Swift](https://developer.apple.com/swift/) was introduced in 2014. It is a superset of the C programming language and provides object-oriented capabilities and a dynamic runtime.\n\n[Apple Developer Forums](https://developer.apple.com/forums/)\n\n[Google's Objective-C Style Guide](https://google.github.io/styleguide/objcguide.html)\n\n[Objective C Courses on Coursera](https://www.coursera.org/courses?query=objective%20c)\n\n[Objective-C online course on Udemy](https://www.udemy.com/topic/objective-c/)\n\n[Objective-C for Swift Developers course by David Nutter](https://www.pluralsight.com/courses/objective-c-swift-developers)\n\n[Objective-C Essential Training on LinkedIn Learning](https://www.linkedin.com/learning/objective-c-essential-training/)\n\n[Objective-C for Swift Developers on Udacity](https://www.udacity.com/course/objective-c-for-swift-developers--ud1009)\n\n### Objective-C Tools, Libraries, and Frameworks\n\n[Xcode](https://developer.apple.com/xcode/) includes everything developers need to create great applications for Mac, iPhone, iPad, Apple TV, and Apple Watch. Xcode provides developers a unified workflow for user interface design, coding, testing, and debugging.\n\n[AppKit](https://developer.apple.com/documentation/appkit) is a graphical user interface toolkit that contains all the objects you need to implement the user interface for a macOS app such as windows, panels, buttons, menus, scrollers, and text fields, and it handles all the details for you as it efficiently draws on the screen, communicates with hardware devices and screen buffers, clears areas of the screen before drawing, and clips views.\n\n[Instruments](https://help.apple.com/instruments/mac/current/#/dev7b09c84f5) is a powerful and flexible performance-analysis and testing tool that’s part of the Xcode tool set. It’s designed to help you profile your iOS, watchOS, tvOS, and macOS apps, processes, and devices in order to better understand and optimize their behavior and performance. \n\n[Cocoapods](https://cocoapods.org/) is a dependency manager for Swift and Objective-C in your Xcode projects by specifying the dependencies for your project in a simple text file. CocoaPods then recursively resolves dependencies between libraries, fetches source code for all dependencies, and creates and maintains an Xcode workspace to build your project. \n\n[AppCode](https://www.jetbrains.com/objc/) is constantly monitoring the quality of your code. It warns you of errors and smells and suggests quick-fixes to resolve them automatically. AppCode provides lots of code inspections for Objective-C, Swift, C/C++, and a number of code inspections for other supported languages.\n\n[Realm](https://github.com/realm/realm-cocoa) is a mobile database(replaces Core Data \u0026 SQLite) that runs directly inside phones, tablets or wearables.\n\n[Infer](https://github.com/facebook/infer) is a static analysis tool for Java, C++, Objective-C, and C.\n\n[Mantle](https://github.com/Mantle/Mantle) is a model framework that makes it easy to write a simple model layer for your Cocoa or Cocoa Touch application.\n\n[Quick](https://github.com/Quick/Quick) is a behavior-driven development framework for Swift and Objective-C. \n\n[Aspects](https://github.com/steipete/Aspects) is a simple library for aspect oriented programming in Objective-C and Swift.\n\n[Hammerspoon](https://github.com/Hammerspoon/hammerspoon) is a tool for powerful automation for macOS that acts as a bridge between the operating system and a Lua scripting engine.\n\n[Nimbus](https://github.com/jverkoey/nimbus) is an iOS framework whose feature set grows only as fast as its documentation.\n\n\n# Apple Silicon\n\n[Back to the Top](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide/blob/main/README.md#table-of-contents)\n\n\u003cp align=\"center\"\u003e\n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/105645197-de010180-5e4e-11eb-823b-c2152b3223ef.jpeg\"\u003e\n\u003c/p\u003e\n\n[Does it ARM? Apps that are reported to support Apple Silicon](https://doesitarm.com)\n\n[Apple Hypervisor](https://developer.apple.com/documentation/hypervisor) is a frameowrk that builds virtualization solutions on top of a lightweight hypervisor, without third-party kernel extensions. Hypervisor provides C APIs so you can interact with virtualization technologies in user space, without writing kernel extensions (KEXTs). As a result, the apps you create using this framework are suitable for distribution on the [Mac App Store](https://www.appstore.com/).\n\n[Apple A-series](https://www.apple.com/) is Apple's 64-bit ARM-based system on a chip (SoC) used in their iPhones and iPads. Though, at WWDC 2020 it was announced that [Apple Silicon](https://developer.apple.com/documentation/apple_silicon) would [transition into Mac laptops](https://www.apple.com/newsroom/2020/06/apple-announces-mac-transition-to-apple-silicon/). \n\n[Apple M1 Chip](https://www.apple.com/mac/m1/) is Apple's first SoC chip designed specifically for their ARM Mac products, it delivers incredible performance(8-core CPU and 8-core GPU), custom technologies, and great power efficiency. The M1 Chip is now availble for [Macbook Pro 13 with M1](https://www.apple.com/macbook-pro-13/), [Macbook Air 13 with M1](https://www.apple.com/macbook-air/), and [Mac Mini with M1](https://www.apple.com/mac-mini/).\n\n[Xcode 12](https://developer.apple.com/xcode/) is built as an Universal app that runs 100% natively on Intel-based CPUs and Apple Silicon. It includes a unified macOS SDK that features all the frameworks, compilers, debuggers, and other tools you need to build apps that run natively on Apple Silicon and the Intel x86_64 CPU. \n\n[Tensorflow_macOS](https://github.com/apple/tensorflow_macos) is a Mac-optimized version of TensorFlow and TensorFlow Addons for macOS 11.0+ accelerated using Apple's ML Compute framework.\n\n[Universal App Quick Start Program](https://developer.apple.com/programs/universal/)\n\n[Writing ARM64 Code for Apple Platforms](https://developer.apple.com/documentation/xcode/writing_arm64_code_for_apple_platforms)\n\n[Porting Your macOS Apps to Apple Silicon](https://developer.apple.com/documentation/xcode/porting_your_macos_apps_to_apple_silicon)\n\n[Building a Universal macOS Binary](https://developer.apple.com/documentation/xcode/building_a_universal_macos_binary)\n\n[Addressing Architectural Differences in Your macOS Code](https://developer.apple.com/documentation/apple_silicon/addressing_architectural_differences_in_your_macos_code)\n\n[Porting Just-In-Time(JIT) Compilers to Apple Silicon](https://developer.apple.com/documentation/apple_silicon/porting_just-in-time_compilers_to_apple_silicon)\n\n[Porting Your Audio Code to Apple Silicon](https://developer.apple.com/documentation/audiounit/porting_your_audio_code_to_apple_silicon)\n\n[Porting Your Metal Code to Apple Silicon](https://developer.apple.com/documentation/metal/porting_your_metal_code_to_apple_silicon)\n\n[Tuning Your Code’s Performance for Apple Silicon](https://developer.apple.com/documentation/os/workgroups/tuning_your_code_s_performance_for_apple_silicon)\n\n[Learn how Rosetta translates executables and what Rosetta can’t translate](https://developer.apple.com/documentation/apple_silicon/about_the_rosetta_translation_environment)\n\n[Running Your iOS Apps on macOS](https://developer.apple.com/documentation/apple_silicon/running_your_ios_apps_on_macos)\n\n[Adapting iOS Code to Run in the macOS Environment](https://developer.apple.com/documentation/apple_silicon/adapting_ios_code_to_run_in_the_macos_environment)\n\n[Implementing Drivers, System Extensions, and Kexts](https://developer.apple.com/documentation/apple_silicon/implementing_drivers_system_extensions_and_kexts)\n\n[Installing a Custom Kernel Extension](https://developer.apple.com/documentation/apple_silicon/installing_a_custom_kernel_extension)\n\n[Debugging a Custom Kernel Extension](https://developer.apple.com/documentation/apple_silicon/debugging_a_custom_kernel_extension)\n\n\n# Gaming\n\n[Back to the Top](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide/blob/main/README.md#table-of-contents)\n\n## Apple Arcade\n\n[Apple Arcade](https://www.apple.com/apple-arcade/) is a game subscription service that gives up to six family members unlimited access to 100+ incredibly fun games, all with no ads and no in-app purchases. \n\n\u003cp align=\"center\"\u003e\n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/112693074-377cb100-8e3d-11eb-910c-1095c91da6d5.png\"\u003e\n\u003c/p\u003e\n\n## Steam\n\n[Get Steam](https://store.steampowered.com/about/)\n \n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/106686402-13100100-657f-11eb-9012-6bdac264a808.png\"\u003e\n \n [Steam Link app](https://store.steampowered.com/steamlink/about) is available free of charge, streaming your Steam PC games to phones, tablets, and TV. \n\n\u003cp align=\"center\"\u003e\n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/112692999-14ea9800-8e3d-11eb-964a-6bee4e665900.png\"\u003e\n\u003c/p\u003e\n\n## Game Streaming\n\n[Geforce NOW](https://www.nvidia.com/en-us/geforce-now/download/) is NVIDIA's Cloud Gaming Service.\n\n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/106686391-0f7c7a00-657f-11eb-9d0b-1ebb4d385883.jpeg\"\u003e\n\n[Moonlight Game Streaming](https://moonlight-stream.org/) is a program that let you stream from your PC games over the Internet with no configuration required. Stream from almost any device, whether you're in another room or miles away from your gaming rig. \n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/106686398-11463d80-657f-11eb-841a-d534829ccc3d.png\"\u003e\n\n[Chiaki](https://git.sr.ht/~thestr4ng3r/chiaki) is a Free and Open Source Software Client for PlayStation 4 and PlayStation 5 Remote Play for Linux, FreeBSD, OpenBSD, Android, macOS, Windows, Nintendo Switch and potentially even more platforms.\n\n[Xbox Project xCloud](https://www.xbox.com/en-US/xbox-game-streaming/project-xcloud) is Microsoft's cloud-based Xbox game-streaming technology **(currently in Beta)**. **Play games like Forza Horizon 4, Halo 5: Guardians, Gears of War 4, Sea of Thieves, Cuphead, Red Dead Redemption 2, and 100+ other games on your mobile device or Chrome web browser**. Microsoft's Xbox Project xCloud does require an [Xbox Game Pass Ultimate](https://www.xbox.com/en-US/xbox-game-pass/cloud-gaming) subscription.\n\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/108111388-74d56e00-7049-11eb-8aeb-3e5d65f9e832.png\"\u003e\n\n[Amazon Luna](https://www.amazon.com/luna/landing-page) is Amazon's Cloud Gaming Service. Amazon Luna is Compatible/Supported on a vartiey of [Devices and Browsers](https://www.amazon.com/gp/help/customer/display.html?nodeId=GUFHUSX8X324T4XE).\n\n\u003cp align=\"center\"\u003e\n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/112693072-364b8400-8e3d-11eb-9df0-d58af7ac9c9c.png\"\u003e\n\u003c/p\u003e\n\n## Game Emulators\n\n[RetroArch](https://www.retroarch.com/) is a frontend for emulators, game engines and media players. It enables you to run classic games on a wide range of computers and consoles through its slick graphical interface. Settings are also unified so configuration is done once and for all. \n\n[Dolphin](https://dolphin-emu.org) is an emulator for two recent Nintendo video game consoles: the GameCube and the Wii. It allows PC gamers to enjoy games for these two consoles in full HD (1080p) with several enhancements: compatibility with all PC controllers, turbo speed, networked multiplayer, and even more.\n\n[Citra](https://citra-emu.org/) is an open-source emulator for the Nintendo 3DS capable of playing many of your favorite games.\n\n[yuzu](https://yuzu-emu.org) is an experimental open-source emulator for the Nintendo Switch from the creators of Citra.\n\n[DOSBox](https://www.dosbox.com/) is an open-source DOS emulator which primarily focuses on running DOS Games.\n\n[MAME](https://www.mamedev.org/) is a Arcade Machine Emulator.\n\n[xemu](https://xemu.app/) is an original Xbox emulator.\n\n\n## Performance Benchmarks\n\n[Geekbench 5](https://www.geekbench.com/download/) is a cross-platform benchmark that measures your system's performance with the press of a button.\n\n[Phoronix Test Suite](https://www.phoronix-test-suite.com/)\n\n[UNIGINE Superposition](https://benchmark.unigine.com/superposition) is an extreme performance and stability test for PC hardware: video card, power supply, cooling system.\n\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/107092007-8f8d2480-67b7-11eb-9c3f-a0cb02e6dfcd.png\"\u003e\n\n# Game Development\n\n[Back to the Top](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide/blob/main/README.md#table-of-contents)\n\n\u003ch1 align=\"center\"\u003e\n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/97361059-45151700-185c-11eb-9d12-dae51c79eb8a.png\"\u003e\n  \u003cbr /\u003e\n\u003c/h1\u003e\n\n\n## Game Engines\n\n[Unity](https://unity.com) is a cross-platform game development platform. Use Unity to build high-quality 3D and 2D games, deploy them across mobile, desktop, VR/AR, consoles or the Web, and connect with loyal and enthusiastic players and customers.\n\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/104788113-3432be00-5746-11eb-99b1-49360669f327.png\"\u003e\n\n\n[Unreal Engine 4](https://www.unrealengine.com) is a game engine developed by Epic Games with the world's most open and advanced real-time 3D creation tool. Continuously evolving to serve not only its original purpose as a state-of-the-art game engine, today it gives creators across industries the freedom and control to deliver cutting-edge content, interactive experiences, and immersive virtual worlds.\n\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/104788122-37c64500-5746-11eb-8f61-48a69b94582d.png\"\u003e\n\n\n[Godot Engine](https://godotengine.org) is a feature-packed, cross-platform game engine to create 2D and 3D games from a unified interface. It provides a comprehensive set of common tools, so that users can focus on making games without having to reinvent the wheel. Games can be exported in one click to a number of platforms, including the major desktop platforms (Linux, Mac OSX, Windows) as well as mobile (Android, iOS) and web-based (HTML5) platforms.\n\n[If you would like to Donate to the Godot Project](https://www.patreon.com/godotengine)\n\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/104788134-3f85e980-5746-11eb-94c4-d97165ee888b.jpeg\"\u003e\n\n\n[Blender](https://www.blender.org) is the free and open source 3D creation suite. It supports the entirety of the 3D pipeline—modeling, rigging, animation, simulation, rendering, compositing and motion tracking, video editing and 2D animation pipeline.\n\n[If you would like to Donate to the Blender Project](https://fund.blender.org/)\n\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/110990485-3ec59a00-8328-11eb-8eb1-5502eb2eb74e.png\"\u003e\n\n\n[Unigine](https://unigine.com) is a cross-platform game engine designed for development teams (C++/C# programmers, 3D artists) working on interactive 3D apps.\n\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/110880414-70405600-8293-11eb-9c86-bb373017653a.png\"\u003e\n\n\n[GameMaker Studio 2](https://www.yoyogames.com/gamemaker) is the latest and greatest incarnation of GameMaker. It has everything you need to take your idea from concept to finished game. With no barriers to entry and powerful functionality, GameMaker Studio 2 is the ultimate 2D development environment.\n\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/104788147-44e33400-5746-11eb-879a-bc6239c98ce4.jpg\"\u003e\n\n\n## Tools\n\n[Panda3D](https://www.panda3d.org/) is a game engine, a framework for 3D rendering and game development for Python and C++ programs, developed by Disney and CMU. Panda3D is open-source and free for any purpose, including commercial ventures.\n\n[Source 2](https://developer.valvesoftware.com/wiki/Source_2) is a 3D video game engine in development by Valve as a successor to Source. It is used in Dota 2, Artifact, Dota Underlords, parts of The Lab, SteamVR Home, and Half-Life: Alyx.\n\n[AutoDesk 3ds Max](https://www.autodesk.com/products/3ds-max/overview) is a professional software program for 3D modeling, animation, rendering, and visualization. 3ds Max allows you to create stunning game environments, design visualizations, and virtual reality experiences.\n\n[Houdini](https://www.sidefx.com/) is a 3D procedural software for modeling, rigging, animation, VFX, look development, lighting and rendering in film, TV, advertising and video game pipelines.\n\n[Open Graphics Library(OpenGL)](https://www.opengl.org/) is an API used acrossed mulitple  programming languages and platforms for hardware-accelerated rendering of 2D/3D vector graphics currently developed by the [Khronos Group](https://www.khronos.org/).\n\n[Open Computing Language (OpenCL)](https://www.khronos.org/opencl/) is an open standard for [parallel programming](https://www.coursera.org/lecture/parprog1/introduction-to-parallel-computing-zNrIS) of heterogeneous platforms consisting of CPUs, GPUs, and other hardware accelerators found in supercomputers, cloud servers, personal computers, mobile devices and embedded platforms.\n\n[OpenGL Shading Language(GLSL)](https://www.khronos.org/opengl/wiki/Core_Language_(GLSL)) is a High Level Shading Language based on the C-style language, so it covers most of the features a user would expect with such a language.  Such as control structures (for-loops, if-else statements, etc) exist in GLSL, including the switch statement.\n\n[High Level Shading Language(HLSL)](https://docs.microsoft.com/en-us/windows/win32/direct3dhlsl/dx-graphics-hlsl) is the High Level Shading Language for DirectX. Using HLSL, the user can create C-like programmable shaders for the Direct3D pipeline. HLSL was first created with DirectX 9 to set up the programmable 3D pipeline. \n\n[Vulkan](https://www.khronos.org/vulkan/) is a modern cross-platform graphics and compute API that provides high-efficiency, cross-platform access to modern GPUs used in a wide variety of devices from PCs and consoles to mobile phones and embedded platforms. Vulkan is currently in development by the Khronos consortium. \n\n[Metal](https://developer.apple.com/metal/) is a low-level GPU programming framework used for rendering 2D and 3D graphics on Apple platforms such as iOS, iPadOS, macOS, watchOS and tvOS.\n\n[MoltenVK](https://moltengl.com/moltenvk) is an implementation of Vulkan running on iOS and macOS using Apple's [Metal](https://developer.apple.com/metal/) graphics framework.\n\n[MoltenGL](https://moltengl.com) is an implementation of the OpenGL ES 2.0 API that runs on Apple's [Metal](https://developer.apple.com/metal/) graphics framework.\n\n[AMD Radeon ProRender](https://www.amd.com/en/technologies/radeon-prorender) is a powerful physically-based rendering engine that enables creative professionals to produce stunningly photorealistic images on virtually any GPU, any CPU, and any OS in over a dozen leading digital content creation and CAD applications.\n\n[NVIDIA Omniverse](https://developer.nvidia.com/nvidia-omniverse-platform) is a powerful, multi-GPU, real-time simulation and collaboration platform for 3D production pipelines based on Pixar's Universal Scene Description and NVIDIA RTX.\n\n[LibGDX](https://github.com/libgdx/libgdx) is a cross-platform Java game development framework based on OpenGL (ES) that works on Windows, Linux, Mac OS X, Android, your WebGL enabled browser and iOS.\n\n[cocos2d-x](https://github.com/cocos2d/cocos2d-x) is a multi-platform framework for building 2d games, interactive books, demos and other graphical applications. It is based on cocos2d-iphone, but instead of using Objective-C, it uses C++. It works on iOS, Android, macOS, Windows and Linux.\n\n[MonoGame](https://github.com/MonoGame/MonoGame) is a framework for creating powerful cross-platform games. The spiritual successor to XNA with thousands of titles shipped across desktop, mobile, and console platforms. MonoGame is a fully managed .NET open source game framework without any black boxes.\n\n[HGIG](https://www.hgig.org/) is a volunteer group of companies from the game and TV display industries that meet to specify and make available for the public guidelines to improve consumer gaming experiences in HDR.\n\n[Three.js](https://threejs.org) is a cross-browser JavaScript library and application programming interface used to create and display animated 3D computer graphics in a web browser using WebGL. \n\n[Superpowers](http://superpowers-html5.com/) is a downloadable HTML5 app for real-time collaborative projects . You can use it solo like a regular offline game maker, or setup a password and let friends join in on your project through their Web browser. \n\n[Vivox](https://www.vivox.com/) is a voice \u0026 text chat platform that's trusted by the world's biggest gaming brands and titles such as Fortnite, PUBG, League of Legends, and Rainbow Six Siege.\n\n[HGIG](https://www.hgig.org/) is a volunteer group of companies from the game and TV display industries that meet to specify and make available for the public guidelines to improve consumer gaming experiences in HDR.\n\n[GameBlocks](https://www.gameblocks.com/) is a Server Side Anti-Cheat \u0026 Middleware software.\n\n## Augmented Reality (AR) \u0026 Virtual Reality (VR)\n\n[ARKit](https://developer.apple.com/augmented-reality/arkit/) is a set set of software development tools to enable developers to build augmented-reality apps for iOS developed by Apple. The latest version ARKit 3.5 takes advantage of the new LiDAR Scanner and depth sensing system on iPad Pro(2020) to support a new generation of AR apps that use Scene Geometry for enhanced scene understanding and object occlusion.\n\n[RealityKit](https://developer.apple.com/documentation/realitykit) is a framework to implement high-performance 3D simulation and rendering with information provided by the ARKit framework to seamlessly integrate virtual objects into the real world.\n\n[SceneKit](https://developer.apple.com/scenekit/) is a high-level 3D graphics framework that helps you create 3D animated scenes and effects in your iOS apps.\n\n[ARCore](https://developers.google.com/ar/) is a software development kit developed by Google that allows for augmented reality applications in the real world. These tools include environmental understanding, which allows devices to detect horizontal and vertical surfaces and planes. It also includes motion tracking, which lets phones understand and track their positions relative to the world. Also ARCore’s Light Estimation API lets your digital objects appear realistically as if they’re actually part of the physical world.\n\n[SteamVR](https://store.steampowered.com/steamvr) is the ultimate tool for experiencing VR content on the hardware of your choice. SteamVR supports the Valve Index, HTC Vive, Oculus Rift, Windows Mixed Reality headsets, and others.\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/110880418-71718300-8293-11eb-986e-1b1f8cb49112.png\"\u003e\n\u003cbr /\u003e\nSteamVR Home\n\u003c/p\u003e\n\n[OpenVR](https://github.com/ValveSoftware/openvr) is an API and runtime that allows access to VR hardware(Steam Index, HTC Vive, and Oculus Rift) from multiple vendors without requiring that applications have specific knowledge of the hardware they are targeting.\n\n[OpenVR Benchmark on Steam](https://store.steampowered.com/app/955610/OpenVR_Benchmark/) is the first benchmark tool for reproducibly testing your real VR performance, rendering inside of your VR headset. \n\n[OpenHMD](http://www.openhmd.net/) is open source API and drivers that supports a wide range of HMD(head-mounted display) devices such as Oculus Rift, HTC Vive, Sony PSVR, and others.\n\n[openXR](https://www.khronos.org/OpenXR/) is a free, open standard that provides high-performance access to Augmented Reality (AR) and Virtual Reality (VR) collectively known as XR—platforms and devices. \n\n[Monado](https://monado.dev/) is the first OpenXR™ runtime for GNU/Linux. Monado aims to jump-start development of an open source XR ecosystem and provide the fundamental building blocks for device vendors to target the GNU/Linux platform.\n\n[Libsurvive](https://github.com/cntools/libsurvive) is a set of tools and libraries that enable 6 dof tracking on lighthouse and vive based systems that is completely open source and can run on any device. It currently supports both SteamVR 1.0 and SteamVR 2.0 generation of devices and should support any tracked object commercially available.\n\n[Simula](https://github.com/SimulaVR/Simula) is a VR window manager for Linux that runs on top of Godot. It takes less than 1 minute to install. Simula is officially compatible with SteamVR headsets equipped with Linux drivers (e.g. HTC Vive, HTC Vive Pro, \u0026 Valve Index). We have also added experimental support to OpenXR headsets that have Monado drivers (e.g. North Star, OSVR HDK, and PSVR). Some people have gotten the Oculus Rift S to run Simula via OpenHMD ([see here](https://github.com/OpenHMD/OpenHMD/issues/225#issuecomment-638454156)).\n\n\n## Game Development Learning Resources\n\n[Unreal Online Learning](https://www.unrealengine.com/en-US/onlinelearning-courses) is a free learning platform that offers hands-on video courses and guided learning paths.\n\n[Unreal Engine Authorized Training Program](https://www.unrealengine.com/en-US/training-partners)\n\n[Unreal Engine for education](https://www.unrealengine.com/en-US/education/)\n\n[Unreal Engine Training \u0026 Simulation](https://www.unrealengine.com/en-US/industry/training-simulation)\n\n[Unity Certifications](https://unity.com/products/unity-certifications)\n\n[Getting Started with Vulkan](https://www.khronos.org/vulkan/)\n\n[Getting Started with Apple Metal](https://developer.apple.com/metal/)\n\n[Game Design Online Courses from Udemy](https://www.udemy.com/courses/Design/Game-Design/)\n\n[Game Design Online Courses from Skillshare](https://www.skillshare.com/browse/game-design)\n\n[Learn Game Design with Online Courses and Classes from edX](https://www.edx.org/learn/game-design)\n\n[Game Design Courses from Coursera](https://www.coursera.org/courses?query=game%20design)\n\n[Game Design and Development Specialization Course from Coursera](https://www.coursera.org/specializations/game-development)\n\n \n# Setting up a Windows 10 workspace\n\n[Back to the Top](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide/blob/main/README.md#table-of-contents)\n \n**REQUIREMENTS**\n\n   - A modern Linux distribution\n   - QEMU \u003e 2.11.1\n   - A CPU with Intel VT-x / AMD SVM support is required\n   - Internet access for the installation process\n \n [OpenCore for Windows 10](https://dortania.github.io/OpenCore-Install-Guide/)\n \n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/107092270-222dc380-67b8-11eb-82cc-d41e9e8a39e0.png\"\u003e\n \n [Parallels Desktop for Mac](https://www.parallels.com/products/desktop/) is a program that let's you runs Windows side-by-side with macOS (no restarting required) on your MacBook, MacBook Pro, iMac, iMac Pro, Mac mini or Mac Pro. Share files and folders, copy and paste images and text \u0026 drag and drop files between Mac and Windows applications.\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/110880057-df697a80-8292-11eb-8484-9bbc02592377.jpg\"\u003e\n\u003cbr /\u003e\nParallels Desktop for Mac\n\u003c/p\u003e\n\n\n# Using Android and Android Apps on macOS\n\n[Back to the Top](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide/blob/main/README.md#table-of-contents)\n\n[Android Studio](https://developer.android.com/studio/) is the development suite for Google's Android Operating System(OS). It's built on [JetBrains IntelliJ IDEA](https://www.jetbrains.com/idea/) software and designed specifically for Android development. It is available for download on Windows, macOS and Linux.\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/108637349-29530380-743f-11eb-8c61-549064b7d80b.png\"\u003e\n\u003c/p\u003e\n\n[Android Virtual Device (AVD)](https://developer.android.com/studio/run/managing-avds) is a configuration in [Android Studio](https://developer.android.com/studio/intro) that defines the characteristics of an Android phone, tablet, Wear OS, Android TV, or Automotive OS device that you want to simulate in the Android Emulator. The [Android Emulator](https://developer.android.com/studio/run/emulator) simulates Android devices on your computer so that you can test your application on a variety of devices and Android API levels without needing to have each physical device.\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/108637365-2c4df400-743f-11eb-8265-c07faab3523f.png\"\u003e\n\u003c/p\u003e\n\n\n[Genymotion](https://www.genymotion.com/) is a very fast Android emulator. The program itself is based on VirtualBox and is known for its effectively fast speed and is usefulness for running Android apps on a Windows, Mac and Linux desktop.\n\n**Desktop**\n\nLocal virtual devices with high performances.\n\n - Emulate a wide range of virtual device configurations (Android versions, screen size, hardware capacities, etc.)\n - Simulate multiple scenarios thanks to our full set of hardware sensors (GPS, network, multitouch, etc.)\n - Cross-platform: Windows, Mac and Linux\n - Manipulate easily with ADB\n - $412 per year for employees in a company (BUSINESS). All features, advanced support.\n - $136 per year for freelancers (INDIE). All features, best effort support.\n - [Free](https://www.genymotion.com/download/) for personal use only (learning \u0026 entertainment). Limited features, no support.\n \n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/108637388-37a11f80-743f-11eb-9f37-6e22e1172f2d.png\"\u003e\n\u003c/p\u003e\n\n[Scrcpy](https://github.com/Genymobile/scrcpy) is an application by Genymotion that provides display and control of Android devices connected on USB (or over TCP/IP). It does not require any root access and works on GNU/Linux, Windows and macOS. The Android device requires at least API 21 (Android 5.0).\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/108637389-396ae300-743f-11eb-971a-f5b554033552.jpg\"\u003e\n\u003c/p\u003e\n\n# Professional Audio \u0026 Video Editing\n\n[Back to the Top](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide/blob/main/README.md#table-of-contents)\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/108773208-dba7cb00-7512-11eb-8fd0-2d009dbfc729.png\"\u003e\n\u003c/p\u003e\n\n\n[H.264(AVC)](https://en.wikipedia.org/wiki/H.264/MPEG-4_AVC) is a video compression standard based on block-oriented and motion-compensated integer-DCT coding that defines multiple profiles (tools) and levels (max bitrates and resolutions) with support up to 8K.\n\n[H.265(HEVC)](https://en.wikipedia.org/wiki/High_Efficiency_Video_Coding) is a video compression standard that is the successor to H.264(AVC). It offers a 25% to 50% better data compression at the same level of video quality, or improved video quality at the same bit-rate.\n\n[FFmpeg](https://ffmpeg.org) is a leading multimedia framework that can decode, encode, transcode, mux, demux, stream, filter and play pretty much anything that humans and machines have created. It supports the most obscure ancient formats up to the cutting edge ones on multiple platforms such as Windows, macOS, and Linux.\n\n[HandBrake](https://handbrake.fr/) is a tool for transcoding video from almost any format with a selection of widely supported codecs. It is supported on Window, macOS, and Linux.\n\n[HTTP Live Streaming (HLS)](https://developer.apple.com/streaming/) is a communications protocol developed by Apple that sends live and on‐demand audio and video to iPhone, iPad, Mac, Apple Watch, Apple TV, and PC.\n \n[Dynamic Adaptive Streaming over HTTP (DASH)](https://developer.mozilla.org/en-US/docs/Web/HTML/DASH_Adaptive_Streaming_for_HTML_5_Video) is an adaptive streaming protocol that allows for a video stream to switch between bit rates on the basis of network performance, in order to keep a video playing.\n\n[OpenMAX™](https://www.khronos.org/openmax/) is a cross-platform API that provides comprehensive streaming media codec and application portability by enabling accelerated multimedia components to be developed, integrated and programmed across multiple operating systems and silicon platforms.\n\n[Apple ProRes](https://support.apple.com/en-us/HT200321) is a codec technology developed by Apple for high-quality \u0026 high-performance editing in Final Cut Pro that supports up to 8K.\n\n[Premiere Pro](https://www.adobe.com/products/premiere.html) is the industry-leading video editing software for film, TV, and the web. Creative tools, integration with other apps and services, and the power of Adobe Sensei help you craft footage into polished films and videos. With [Premiere Rush](https://www.adobe.com/products/premiere-rush.html) you can create and edit new projects from any device.\n\n[Final Cut Pro](https://www.apple.com/final-cut-pro/) is Apple's professional grade video editing software.\n\n[DaVinci Resolve](https://www.blackmagicdesign.com/products/davinciresolve/) is the world’s only solution that combines professional 8K editing, color correction, visual effects and audio post production all in one software tool! You can instantly move between editing, color, effects, and audio with a single click. DaVinci Resolve Studio is also the only solution designed for multi user collaboration so editors, assistants, colorists, VFX artists and sound designers can all work live on the same project at the same time.\n\n[Blender](https://www.blender.org/features/video-editing/) comes with a built-in video sequence editor allows you to perform basic actions like video cuts and splicing, as well as more complex tasks like video masking or color grading. The Video Editor includes: Live preview, luma waveform, chroma vectorscope and histogram displays. Audio mixing, syncing, scrubbing and waveform visualization.\n\n[Kdenlive](https://kdenlive.org/en/) is an open source video editing tool that supports unlimited multimedia files. It's based on the MLT Framework, KDE and Qt. People who are looking for a very versatile video editing tool that comes packed with features. The latest 20.08 release is out with nifty features like Interface Layouts, Multiple Audio Stream support, Cached data management and Zoombars in the Clip Monitor and Effects Panel but one may argue that the highlights of this release are stability and interface improvements.\n\n[OpenShot](https://www.openshot.org/) is an open-source video editing tool that's designed for users new in the editing environment. It has simple features such as a simple drag-and-drop function, it provides an easy-to-use and quick-to-learn user interface. The powerful video editor offers tons of efficient ways to cut and trim down your videos. You can freely utilize the unlimited tracks, video effects engine, title editor, 3D animations, slow motion, and time effects. It supports commonly used video codecs that are supported by FFmpeg like WebM (VP9), AVCHD (libx264), HEVC (libx265) and audio codecs like mp3 (libmp3lame) and aac (libfaac). The program can render MPEG4, ogv, Blu-ray and DVD video, and Full HD videos for uploading to the internet video websites like YouTube.\n\n[Lightworks](https://www.lwks.com/) is a non-linear video editing appluication for editing and mastering digital video used by the film industry. Its professional edition has been used for box office hits, such as Shutter Island, Pulp Fiction, and Mission Impossible. Intimidating user interface. Like professional video editors, such as Adobe Premiere Pro, Lightworks is rather complicated to use for new users.\n\n[Shotcut](https://www.shotcut.org/) is an open source multi-platform video editor. You can perform various actions such as video editing (including 4K video quality), add effects, create new movies, import most image files formats, export to almost any file format and much more.\n\n[Olive](https://www.olivevideoeditor.org) is a free non-linear video editor aiming to provide a fully-featured alternative to high-end professional video editing software.\n\n[Natron](https://natrongithub.github.io/) is a powerful Digital Compositor that can handle all of your 2D/2.5D needs. Its robust OIIO file formats and OpenFX architecture is what make Natron the most flexible open source compositor for the visual effects community. Its interface and functionally are the same across all platforms such as MacOS, Linux and Windows.\n\n[iZotope](https://www.izotope.com/) is a professional audio software for audio recording, mixing, broadcast, sound design, and mastering which can be used in wide range of Digital Audio Workstation programs.\n\n[OBS (Open Broadcaster Software)](https://obsproject.com/) is free and open source software for video recording and live streaming. Stream to Twitch, YouTube and many other providers or record your own videos with high quality H264 / AAC encoding.\n\n[REAPER](https://www.reaper.fm/) is a complete digital audio production application for computers, offering a full multitrack audio and MIDI recording, editing, processing, mixing and mastering toolset.REAPER supports a vast range of hardware, digital formats and plugins, and can be comprehensively extended, scripted and modified. \n\n[JACK Audio Connection Kit AKA JACK](https://jackaudio.org/) is a professional sound server daemon that provides real-time, low-latency connections for both audio and MIDI data between applications that implement its API. JACK can be configured to send audio data over a network to a \"master\" machine, which then outputs the audio to a physical device. This can be useful to mix audio from a number of \"slave\" computers without requiring additional cables or hardware mixers, and keeping the audio path digital for as long as possible.\n\n[Bitwig Studio](https://www.bitwig.com) is a digital audio workstation that has linear and non-linear workflows for sound design, recording, live performance, and more. Along with 90+ instruments, effects, and other creative tools. It is supported Windows, macOS, and Linux.\n\n[PipeWire](https://pipewire.org) is a server and user space API to deal with multimedia pipelines.It provides a low-latency, graph based processing engine on top of audio and video devices that can be used to support the use cases currently handled by both pulseaudio and JACK. PipeWire was designed with a powerful security model that makes interacting with audio and video devices from containerized applications easy. Nodes in the graph can be implemented as separate processes, communicating with sockets and exchanging multimedia content using fd passing.\n\n[Sonobus](https://sonobus.net) is an easy to use application for streaming high-quality, low-latency peer-to-peer audio between devices over the internet or a local network.\n\n[Avid Pro Tools](https://www.avid.com/pro-tools) is an industry standard audio-production software for songwriters, musicians, producers, and engineers.\n\n[LMMS](https://lmms.io/) is an open source digital audio workstation application program. When LMMS is pairedr with appropriate computer hardware, it allows music to be produced by arranging samples, synthesizing sounds, playing on a MIDI keyboard, and combining the features of trackers and sequencers. Developed by Paul Giblock and Tobias Junghans, this program stands for \"Linux MultiMedia Studio\" and supports handy plugins that enables it to work on different operating systems.\n\n[Ardour](http://ardour.org/) is an open source, collaborative effort of a worldwide team including musicians, programmers, and professional recording engineers. Development is transparent — anyone can watch our work as it happens. Like a good piece of vintage hardware, you can open the box and look inside.\n\n[Audacity](https://www.audacityteam.org/) is an easy-to-use, multi-track audio editor and recorder for Windows, Mac OS X, GNU/Linux and other operating systems. Developed by a group of volunteers as open source and offered free of charge. Amazing support community.\n\n[Glimpse](https://glimpse-editor.github.io/) is a cross-platform raster graphics editor based on the GNU Image Manipulation Program available for Linux, MacOS, and Windows. A great tool for making YouTube video thumbnails.\n\n# 3D Graphics and Design\n\n[Back to the Top](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide/blob/main/README.md#table-of-contents)\n\n\u003cp align=\"center\"\u003e\n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/97116104-27a74800-16b8-11eb-9556-bdb90ba45ce7.png\"\u003e\n  \u003cbr /\u003e\n\u003c/p\u003e\n\n\n## Learning Resources\n\n[Introduction to Pixar's Universal Scene Description (USD)](https://graphics.pixar.com/usd/docs/index.html)\n\n[Intro to using Universal Scene Description with NVIDIA](https://developer.nvidia.com/usd)\n\n[First steps with Universal Scene Description in Blender](https://code.blender.org/2019/07/first-steps-with-universal-scene-description/)\n\n[Adobe Creative Cloud Training Courses](https://www.adobe.com/products/captivateprime/content-catalog/creative-cloud.html)\n\n[Adobe Creative Cloud Certifications](https://learning.adobe.com/certification.html)\n\n[Blender Foundation](https://www.blender.org/foundation/)\n\n[Blender Foundation Certification Training](https://www.blender.org/certification/)\n\n[Blender Cloud Courses](https://cloud.blender.org/courses)\n\n[Blender Institute](https://www.blender.org/institute/)\n\n[Blender Education](https://www.blender.org/get-involved/)\n\n[Blender Network](https://www.blendernetwork.org/)\n\n[Blender Courses from Udemy](https://www.udemy.com/topic/blender/)\n\n[AutoDesk Learning, Training \u0026 Certification](https://www.autodesk.com/training)\n\n[AutoDesk Design Academy](https://academy.autodesk.com)\n\n[AutoDesk Courses and Specializations from Coursera](https://www.coursera.org/autodesk)\n\n[Cinema 4D Quick Tips](https://www.cineversity.com/vidplaylist/cinema_4d_quick_tips)\n\n[Getting Started with Cinema 4D](https://www.cineversity.com/vidplaylist/getting_started_with_cinema_4d_r20)\n\n[AMD Radeon ProRender Developer Suite](https://gpuopen.com/radeon-prorender-suite/)\n\n[Graphic Design Masterclass(Photoshop, Illustrator, InDesign) from Udemy](https://www.udemy.com/course/graphic-design-masterclass-everything-you-need-to-know/)\n\n[Vectr: Beginner's Guide To Graphic Design from udemy](https://www.udemy.com/course/vectr-beginners-guide-to-graphic-design/)\n\n[Canva MasterClass: Design For EveryDay Use from Udemy](https://www.udemy.com/course/canva-masterclass-design-for-everyday-use/)\n\n\n## Tools\n\n[Adobe Creative Cloud](https://www.adobe.com/creativecloud.html) is a collection of 20+ desktop and mobile apps(Lightroom, Photoshop, Illustrator, InDesign, Rush, Etc.) and services for photography, design, video, web, UX, and more.\n\n[AutoDesk](https://www.autodesk.com/) is a collection of professional software products and services used in 3D design, architecture, engineering, manufacturing, and high production entertainment companies. \n\n[AutoDesk Maya](https://www.autodesk.com/products/maya/overview) is a professional 3D computer animation software with powerful modeling, rendering, simulation, texturing, and animation tools for artists, modelers, and animators.\n\n[AutoDesk 3ds Max](https://www.autodesk.com/products/3ds-max/overview) is a professional software program for 3D modeling, animation, rendering, and visualization. 3ds Max allows you to create stunning game environments, design visualizations, and virtual reality experiences.\n\n[Blender](https://www.blender.org) is a professional, free and open-source 3D computer graphics software toolset used for creating animated films, visual effects, art, 3D printed models, interactive 3D applications and video games.\n\n[Cinema 4D](https://www.maxon.net/en-us/products/cinema-4d/overview/) is a professional 3D and VFX software suite that is capable of doing procedural and polygonal modeling, animation, lighting, texturing, motion graphic and rendering.\n\n[Houdini](https://www.sidefx.com/) is a 3D procedural software for modeling, rigging, animation, VFX, look development, lighting and rendering in film, TV, advertising and video game pipelines.\n\n[Open Graphics Library(OpenGL)](https://www.opengl.org/) is an API used acrossed mulitple  programming languages and platforms for hardware-accelerated rendering of 2D/3D vector graphics currently developed by the [Khronos Group](https://www.khronos.org/).\n\n[Open Computing Language (OpenCL)](https://www.khronos.org/opencl/) is an open standard for [parallel programming](https://www.coursera.org/lecture/parprog1/introduction-to-parallel-computing-zNrIS) of heterogeneous platforms consisting of CPUs, GPUs, and other hardware accelerators found in supercomputers, cloud servers, personal computers, mobile devices and embedded platforms.\n\n[Vulkan](https://www.khronos.org/vulkan/) is a modern cross-platform graphics and compute API that provides high-efficiency, cross-platform access to modern GPUs used in a wide variety of devices from PCs and consoles to mobile phones and embedded platforms. Vulkan is currently in development by the Khronos consortium. \n\n[Metal](https://developer.apple.com/metal/) is a low-level GPU programming framework used for rendering 2D and 3D graphics on Apple platforms such as iOS, iPadOS, macOS, watchOS and tvOS.\n\n[MoltenVK](https://moltengl.com/moltenvk) is an implementation of Vulkan running on iOS and macOS using Apple's [Metal](https://developer.apple.com/metal/) graphics framework.\n\n[MoltenGL](https://moltengl.com) is an implementation of the OpenGL ES 2.0 API that runs on Apple's [Metal](https://developer.apple.com/metal/) graphics framework.\n\n[AMD Radeon ProRender](https://www.amd.com/en/technologies/radeon-prorender) is a powerful physically-based rendering engine that enables creative professionals to produce stunningly photorealistic images on virtually any GPU, any CPU, and any OS in over a dozen leading digital content creation and CAD applications.\n\n[NVIDIA Omniverse](https://developer.nvidia.com/nvidia-omniverse-platform) is a powerful, multi-GPU, real-time simulation and collaboration platform for 3D production pipelines based on Pixar's Universal Scene Description and NVIDIA RTX.\n\n[Universal Scene Description](https://github.com/PixarAnimationStudios/USD) is an efficient, scalable system for authoring, reading, and streaming time-sampled scene description for interchange between graphics applications.\n\n[OpenTimelineIO](https://github.com/PixarAnimationStudios/OpenTimelineIO) is an interchange format and API for editorial cut information. OTIO is not a container format for media, rather it contains information about the order and length of cuts and references to external media. OTIO includes both a file format and an API for manipulating that format. It also includes a plugin architecture for writing adapters to convert from/to existing editorial timeline formats. It also implements a dependency- less library for dealing strictly with time, opentime.\n\n[OpenSubdiv](https://github.com/PixarAnimationStudios/OpenSubdiv) is a set of open source libraries that implement high performance subdivision surface (subdiv) evaluation on massively parallel CPU and GPU architectures. This codepath is optimized for drawing deforming subdivs with static topology at interactive framerates. The resulting limit surface matches Pixar's Renderman to numerical precision. \n\n[Affinity Designer](https://affinity.serif.com/en-gb/designer/) is a professional vector graphics editor used by many industry leading illustrators, designers, and other creatives looking to create high-quality concept art.\n\n[Sketch](https://www.sketch.com) is a professional vector graphics app with a beautiful UI and powerful toolset.\n\n[Krita](https://krita.org/) is an open source professional painting program for digital painting and 2D animation.\n\n[Vectr](https://vectr.com/) is a free graphics software used to create vector graphics easily and intuitively.\n\n[Glimpse](https://glimpse-editor.github.io/) is a cross-platform raster graphics editor based on the GNU Image Manipulation Program available for Linux, macOS, and Windows. A great tool for making YouTube video thumbnails.\n\n[GNU Image Manipulation Program(GIMP)](https://www.gimp.org/) is a cross-platform raster graphics editor based on the GNU Image Manipulation Program(GIMP) available for Linux, macOS, and Windows. A great free alternative for Photoshop.\n\n[PhotoGIMP](https://github.com/Diolinux/PhotoGIMP) is a simple Patch for [GIMP 2.10+](https://www.gimp.org/) to help all Adobe Photoshop Users feel at home.\n\n[Photopea](https://www.photopea.com/) is an advanced online photo editor supporting Adobe Photoshop(PSD), GIMP(XCF), Sketch App(Sketch), Adobe XD(XD) and CorelDRAW(CDR) formats.\n\n[Inkscape](https://inkscape.org/) is an open-source vector graphics editor; it can be used to create or edit vector graphics such as illustrations, diagrams, line arts, charts, logos and complex paintings.\n\n[Gthree](https://github.com/alexlarsson/gthree) is a GObject/Gtk+ port of three.js.\n\n[FreeCAD](https://www.freecadweb.org/) is a free and open-source general-purpose parametric 3D CAD modeler and a building information modeling software with finite-element-method support. \n\n[Ultimaker Cura](https://ultimaker.com/software/ultimaker-cura) is the world’s most popular 3D printing software. Prepare prints with a few clicks, integrate with CAD software for an easier workflow, or dive into custom settings for in-depth control.\n\n[Dust3D](https://dust3d.org/) is a cross-platform open-source modeling software. It helps you create a 3D watertight model in seconds. Use it to speed up your character modeling in game making, 3D printing, and so on.\n\n[Goxel](https://github.com/guillaumechereau/goxel) is a free and Open Source 3D Voxel Editor.\n\n[Sketchfab](https://sketchfab.com/tags/open-source) gives you open-source 3D models ready to view, buy, and download for free.\n\n\n# Kubernetes\n\n[Back to the Top](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide/blob/main/README.md#table-of-contents)\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/95383873-a884d800-08a0-11eb-8eaf-57af5b119f56.png\"\u003e\n\u003c/p\u003e\n\n[Kubernetes (K8s)](https://kubernetes.io/) is an open-source system for automating deployment, scaling, and management of containerized applications.\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/105645195-db9ea780-5e4e-11eb-8357-fb38b2f06d74.png\"\u003e\n\n**Building Highly-Availability(HA) Clusters with kubeadm. Source: [Kubernetes.io](https://kubernetes.io/docs/setup/production-environment/tools/kubeadm/high-availability/), 2020**\n\u003c/p\u003e\n\n[Google Kubernetes Engine (GKE)](https://cloud.google.com/kubernetes-engine/) is a managed, production-ready environment for running containerized applications.\n\n[Azure Kubernetes Service (AKS)](https://azure.microsoft.com/en-us/services/kubernetes-service/) is serverless Kubernetes, with a integrated continuous integration and continuous delivery (CI/CD) experience, and enterprise-grade security and governance. Unite your development and operations teams on a single platform to rapidly build, deliver, and scale applications with confidence.\n\n[Amazon EKS](https://docs.aws.amazon.com/eks/latest/userguide/what-is-eks.html) is a tool that runs Kubernetes control plane instances across multiple Availability Zones to ensure high availability.\n\n[AWS Controllers for Kubernetes (ACK)](https://aws.amazon.com/blogs/containers/aws-controllers-for-kubernetes-ack/) is a new tool that lets you directly manage AWS services from Kubernetes. ACK makes it simple to build scalable and highly-available Kubernetes applications that utilize AWS services.\n\n[Container Engine for Kubernetes (OKE)](https://www.oracle.com/cloud-native/container-engine-kubernetes/) is an Oracle-managed container orchestration service that can reduce the time and cost to build modern cloud native applications. Unlike most other vendors, Oracle Cloud Infrastructure provides Container Engine for Kubernetes as a free service that runs on higher-performance, lower-cost compute.\n\n[Anthos](https://cloud.google.com/anthos/docs/concepts/overview) is a modern application management platform that provides a consistent development and operations experience for cloud and on-premises environments.\n\n[Red Hat Openshift](https://www.openshift.com/) is a fully managed Kubernetes platform that provides a foundation for on-premises, hybrid, and multicloud deployments. \n\n[OKD](https://okd.io/) is a community distribution of Kubernetes optimized for continuous application development and multi-tenant deployment. OKD adds developer and operations-centric tools on top of Kubernetes to enable rapid application development, easy deployment and scaling, and long-term lifecycle maintenance for small and large teams.\n\n[Odo](https://odo.dev/) is a fast, iterative, and straightforward CLI tool for developers who write, build, and deploy applications on Kubernetes and OpenShift.\n\n[Kata Operator](https://github.com/openshift/kata-operator) is an operator to perform lifecycle management (install/upgrade/uninstall) of [Kata Runtime](https://katacontainers.io/) on Openshift as well as Kubernetes cluster.\n\n[Thanos](https://thanos.io/) is a set of components that can be composed into a highly available metric system with unlimited storage capacity, which can be added seamlessly on top of existing Prometheus deployments.\n\n[OpenShift Hive](https://github.com/openshift/hive) is an operator which runs as a service on top of Kubernetes/OpenShift. The Hive service can be used to provision and perform initial configuration of OpenShift 4 clusters.\n\n[Rook](https://rook.io/) is a tool that turns distributed storage systems into self-managing, self-scaling, self-healing storage services. It automates the tasks of a storage administrator: deployment, bootstrapping, configuration, provisioning, scaling, upgrading, migration, disaster recovery, monitoring, and resource management.\n\n[VMware Tanzu](https://tanzu.vmware.com/tanzu) is a centralized management platform for consistently operating and securing your Kubernetes infrastructure and modern applications across multiple teams and private/public clouds.\n\n[Kubespray](https://kubespray.io/) is a tool that combines Kubernetes and Ansible to easily install Kubernetes clusters that can be deployed on [AWS](https://github.com/kubernetes-sigs/kubespray/blob/master/docs/aws.md), GCE, [Azure](https://github.com/kubernetes-sigs/kubespray/blob/master/docs/azure.md), [OpenStack](https://github.com/kubernetes-sigs/kubespray/blob/master/docs/openstack.md), [vSphere](https://github.com/kubernetes-sigs/kubespray/blob/master/docs/vsphere.md), [Packet](https://github.com/kubernetes-sigs/kubespray/blob/master/docs/packet.md) (bare metal), Oracle Cloud Infrastructure (Experimental), or Baremetal.\n\n[KubeInit](https://github.com/kubeinit/kubeinit) provides Ansible playbooks and roles for the deployment and configuration of multiple Kubernetes distributions.\n\n[Rancher](https://rancher.com/) is a complete software stack for teams adopting containers. It addresses the operational and security challenges of managing multiple Kubernetes clusters, while providing DevOps teams with integrated tools for running containerized workloads.\n\n[K3s](https://github.com/rancher/k3s) is a highly available, certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. \n\n[Helm](https://helm.sh/) is a Kubernetes Package Manager tool that makes it easier to install and manage Kubernetes applications.\n\n[Knative](https://knative.dev/) is a Kubernetes-based platform to build, deploy, and manage modern serverless workloads. Knative takes care of the operational overhead details of networking, autoscaling (even to zero), and revision tracking. \n\n[KubeFlow](https://www.kubeflow.org/) is a tool dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable.\n\n[Etcd](https://etcd.io/) is a distributed key-value store that provides a reliable way to store data that needs to be accessed by a distributed system or cluster of machines. Etcd is used as the backend for service discovery and stores cluster state and configuration for Kubernetes.\n\n[OpenEBS](https://openebs.io/) is a Kubernetes-based tool to create stateful applications using Container Attached Storage.\n\n[Container Storage Interface (CSI)](https://www.architecting.it/blog/container-storage-interface/) is an API that lets container orchestration platforms like Kubernetes seamlessly communicate with stored data via a plug-in.\n\n[MicroK8s](https://microk8s.io/) is a tool that delivers the full Kubernetes experience. In a Fully containerized deployment with compressed over-the-air updates for ultra-reliable operations. It is supported on Linux, Windows, and MacOS.\n\n[Charmed Kubernetes](https://ubuntu.com/kubernetes/features) is a well integrated, turn-key, conformant Kubernetes platform, optimized for your multi-cloud environments developed by Canonical.\n\n[Grafana Kubernetes App](https://grafana.com/grafana/plugins/grafana-kubernetes-app) is a toll that allows you to monitor your Kubernetes cluster's performance. It includes 4 dashboards, Cluster, Node, Pod/Container and Deployment. It allows for the automatic deployment of the required Prometheus exporters and a default scrape config to use with your in cluster Prometheus deployment.\n\n[KubeEdge](https://kubeedge.io/en/) is an open source system for extending native containerized application orchestration capabilities to hosts at Edge.It is built upon kubernetes and provides fundamental infrastructure support for network, app. deployment and metadata synchronization between cloud and edge.\n\n[Lens](https://k8slens.dev/)  is the most powerful IDE for people who need to deal with Kubernetes clusters on a daily basis. It has support for MacOS, Windows and Linux operating systems.\n\n[kind](https://kind.sigs.k8s.io/) is a tool for running local Kubernetes clusters using Docker container “nodes”. It was primarily designed for testing Kubernetes itself, but may be used for local development or CI.\n\n[Flux CD](https://fluxcd.io/) is a tool that automatically ensures that the state of your Kubernetes cluster matches the configuration you've supplied in Git. It uses an operator in the cluster to trigger deployments inside Kubernetes, which means that you don't need a separate continuous delivery tool.\n\n## Kubernetes Learning Resources\n\n[Getting Kubernetes Certifications](https://training.linuxfoundation.org/certification/catalog/?_sft_technology=kubernetes)\n\n[Getting started with Kubernetes on AWS](https://aws.amazon.com/kubernetes/)\n\n[Kubernetes on Microsoft Azure](https://azure.microsoft.com/en-us/topic/what-is-kubernetes/)\n\n[Intro to Azure Kubernetes Service](https://docs.microsoft.com/en-us/azure/aks/kubernetes-dashboard)\n\n[Getting started with Google Cloud](https://cloud.google.com/learn/what-is-kubernetes)\n\n[Getting started with Kubernetes on Red Hat](https://www.redhat.com/en/topics/containers/what-is-kubernetes)\n\n[Getting started with Kubernetes on IBM](https://www.ibm.com/cloud/learn/kubernetes)\n\n[YAML basics in Kubernetes](https://developer.ibm.com/technologies/containers/tutorials/yaml-basics-and-usage-in-kubernetes/)\n\n[Elastic Cloud on Kubernetes](https://www.elastic.co/elastic-cloud-kubernetes)\n\n[Docker and Kubernetes](https://www.docker.com/products/kubernetes)\n\n[Deploy a model to an Azure Kubernetes Service cluster](https://docs.microsoft.com/en-us/azure/machine-learning/how-to-deploy-azure-kubernetes-service?tabs=python)\n\n[Simplify Machine Learning Inference on Kubernetes with Amazon SageMaker Operators](https://aws.amazon.com/blogs/machine-learning/simplify-machine-learning-inference-on-kubernetes-with-amazon-sagemaker-operators/)\n\n[Running Apache Spark on Kubernetes](http://spark.apache.org/docs/latest/running-on-kubernetes.html)\n\n[Kubernetes Across VMware vRealize Automation](https://blogs.vmware.com/management/2019/06/kubernetes-across-vmware-cloud-automation-services.html)\n\n[VMware Tanzu Kubernetes Grid](https://tanzu.vmware.com/kubernetes-grid)\n\n[All the Ways VMware Tanzu Works with AWS](https://tanzu.vmware.com/content/blog/all-the-ways-vmware-tanzutm-works-with-aws)\n\n[VMware Tanzu Education](https://tanzu.vmware.com/education)\n\n[Using Ansible in a Cloud-Native Kubernetes Environment](https://www.ansible.com/blog/how-useful-is-ansible-in-a-cloud-native-kubernetes-environment)\n\n[Managing Kubernetes (K8s) objects with Ansible](https://docs.ansible.com/ansible/latest/collections/community/kubernetes/k8s_module.html)\n\n[Setting up a Kubernetes cluster using Vagrant and Ansible](https://kubernetes.io/blog/2019/03/15/kubernetes-setup-using-ansible-and-vagrant/)\n\n[Running MongoDB with Kubernetes](https://www.mongodb.com/kubernetes)\n\n[Kubernetes Fluentd](https://docs.fluentd.org/v/0.12/articles/kubernetes-fluentd)\n\n[Understanding the new GitLab Kubernetes Agent](https://about.gitlab.com/blog/2020/09/22/introducing-the-gitlab-kubernetes-agent/)\n\n[Kubernetes Contributors](https://www.kubernetes.dev/)\n\n[KubeAcademy from VMware](https://kube.academy/)\n\n\n# Machine Learning\n\n[Back to the Top](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide/blob/main/README.md#table-of-contents)\n\n\u003cimg src=\"https://user-images.githubusercontent.com/45159366/108111395-756e0480-7049-11eb-85ca-b87315e9d3ef.jpeg\"\u003e\n\n## ML frameworks \u0026 applications\n\n[TensorFlow](https://www.tensorflow.org) is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.\n\n[Tensorman](https://github.com/pop-os/tensorman) is a utility for easy management of Tensorflow containers by developed by [System76]( https://system76.com).Tensorman allows Tensorflow to operate in an isolated environment that is contained from the rest of the system. This virtual environment can operate independent of the base system, allowing you to use any version of Tensorflow on any version of a Linux distribution that supports the Docker runtime.\n\n[Keras](https://keras.io) is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano.It was developed with a focus on enabling fast experimentation. It is capable of running on top of TensorFlow, Microsoft Cognitive Toolkit, R, Theano, or PlaidML.\n\n[PyTorch](https://pytorch.org) is a library for deep learning on irregular input data such as graphs, point clouds, and manifolds. Primarily developed by Facebook's AI Research lab.\n\n[Amazon SageMaker](https://aws.amazon.com/sagemaker/) is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models.\n\n[Azure Databricks](https://azure.microsoft.com/en-us/services/databricks/) is a fast and collaborative Apache Spark-based big data analytics service designed for data science and data engineering. Azure Databricks, sets up your Apache Spark environment in minutes, autoscale, and collaborate on shared projects in an interactive workspace. Azure Databricks supports Python, Scala, R, Java, and SQL, as well as data science frameworks and libraries including TensorFlow, PyTorch, and scikit-learn.\n\n[Microsoft Cognitive Toolkit (CNTK)](https://docs.microsoft.com/en-us/cognitive-toolkit/) is an open-source toolkit for commercial-grade distributed deep learning. It describes neural networks as a series of computational steps via a directed graph. CNTK allows the user to easily realize and combine popular model types such as feed-forward DNNs, convolutional neural networks (CNNs) and recurrent neural networks (RNNs/LSTMs). CNTK implements stochastic gradient descent (SGD, error backpropagation) learning with automatic differentiation and parallelization across multiple GPUs and servers.\n\n[Apache Airflow](https://airflow.apache.org) is an open-source workflow management platform created by the community to programmatically author, schedule and monitor workflows. Install. Principles. Scalable. Airflow has a modular architecture and uses a message queue to orchestrate an arbitrary number of workers. Airflow is ready to scale to infinity.\n\n[Open Neural Network Exchange(ONNX)](https://github.com/onnx) is an open ecosystem that empowers AI developers to choose the right tools as their project evolves. ONNX provides an open source format for AI models, both deep learning and traditional ML. It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types.\n\n[Apache MXNet](https://mxnet.apache.org/) is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly. A graph optimization layer on top of that makes symbolic execution fast and memory efficient. MXNet is portable and lightweight, scaling effectively to multiple GPUs and multiple machines. Support for Python, R, Julia, Scala, Go, Javascript and more.\n\n[AutoGluon](https://autogluon.mxnet.io/index.html) is toolkit for Deep learning that automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications. With just a few lines of code, you can train and deploy high-accuracy deep learning models on tabular, image, and text data.\n\n[Anaconda](https://www.anaconda.com/) is a very popular Data Science platform for machine learning and deep learning that enables users to develop models, train them, and deploy them.\n\n[PlaidML](https://github.com/plaidml/plaidml) is an advanced and portable tensor compiler for enabling deep learning on laptops, embedded devices, or other devices where the available computing hardware is not well supported or the available software stack contains unpalatable license restrictions.\n\n[OpenCV](https://opencv.org) is a highly optimized library with focus on real-time computer vision applications. The C++, Python, and Java interfaces support Linux, MacOS, Windows, iOS, and Android.\n\n[Scikit-Learn](https://scikit-learn.org/stable/index.html) is a Python module for machine learning built on top of SciPy, NumPy, and matplotlib, making it easier to apply robust and simple implementations of many popular machine learning algorithms.\n\n[Weka](https://www.cs.waikato.ac.nz/ml/weka/) is an open source machine learning software that can be accessed through a graphical user interface, standard terminal applications, or a Java API. It is widely used for teaching, research, and industrial applications, contains a plethora of built-in tools for standard machine learning tasks, and additionally gives transparent access to well-known toolboxes such as scikit-learn, R, and Deeplearning4j. \n\n[Caffe](https://github.com/BVLC/caffe) is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and community contributors.\n\n[Theano](https://github.com/Theano/Theano) is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently including tight integration with NumPy.\n\n[nGraph](https://github.com/NervanaSystems/ngraph) is an open source C++ library, compiler and runtime for Deep Learning. The nGraph Compiler aims to accelerate developing AI workloads using any deep learning framework and deploying to a variety of hardware targets.It provides the freedom, performance, and ease-of-use to AI developers.\n\n[NVIDIA cuDNN](https://developer.nvidia.com/cudnn) is a GPU-accelerated library of primitives for [deep neural networks](https://developer.nvidia.com/deep-learning). cuDNN provides highly tuned implementations for standard routines such as forward and backward convolution, pooling, normalization, and activation layers. cuDNN accelerates widely used deep learning frameworks, including [Caffe2](https://caffe2.ai/), [Chainer](https://chainer.org/), [Keras](https://keras.io/), [MATLAB](https://www.mathworks.com/solutions/deep-learning.html), [MxNet](https://mxnet.incubator.apache.org/), [PyTorch](https://pytorch.org/), and [TensorFlow](https://www.tensorflow.org/).\n\n[Jupyter Notebook](https://jupyter.org/) is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Jupyter is used widely in industries that do data cleaning and transformation, numerical simulation, statistical modeling, data visualization, data science, and machine learning.\n\n[Apache Spark](https://spark.apache.org/) is a unified analytics engine for large-scale data processing. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for stream processing.\n\n[Apache Spark Connector for SQL Server and Azure SQL](https://github.com/microsoft/sql-spark-connector) is a high-performance connector that enables you to use transactional data in big data analytics and persists results for ad-hoc queries or reporting. The connector allows you to use any SQL database, on-premises or in the cloud, as an input data source or output data sink for Spark jobs.\n\n[Apache PredictionIO](https://predictionio.apache.org/) is an open source machine learning framework for developers, data scientists, and end users. It supports event collection, deployment of algorithms, evaluation, querying predictive results via REST APIs. It is based on scalable open source services like Hadoop, HBase (and other DBs), Elasticsearch, Spark and implements what is called a Lambda Architecture.\n\n[Cluster Manager for Apache Kafka(CMAK)](https://github.com/yahoo/CMAK) is a tool for managing [Apache Kafka](https://kafka.apache.org/) clusters.\n\n[BigDL](https://bigdl-project.github.io/) is a distributed deep learning library for Apache Spark. With BigDL, users can write their deep learning applications as standard Spark programs, which can directly run on top of existing Spark or Hadoop clusters.\n\n[Koalas](https://pypi.org/project/koalas/) is project makes data scientists more productive when interacting with big data, by implementing the pandas DataFrame API on top of Apache Spark.\n\n[Apache Spark™ MLflow](https://mlflow.org/) is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry. MLflow currently offers four components:\n\n**[MLflow Tracking](https://mlflow.org/docs/latest/tracking.html)**: Record and query experiments: code, data, config, and results.\n\n**[MLflow Projects](https://mlflow.org/docs/latest/projects.html)**: Package data science code in a format to reproduce runs on any platform.\n\n**[MLflow Models](https://mlflow.org/docs/latest/models.html)**: Deploy machine learning models in diverse serving environments.\n\n**[Model Registry](https://mlflow.org/docs/latest/model-registry.html)**: Store, annotate, discover, and manage models in a central repository.\n\n[Eclipse Deeplearning4J (DL4J)](https://deeplearning4j.konduit.ai/) is a set of projects intended to support all the needs of a JVM-based(Scala, Kotlin, Clojure, and Groovy) deep learning application. This means starting with the raw data, loading and preprocessing it from wherever and whatever format it is in to building and tuning a wide variety of simple and complex deep learning networks.\n\n[Numba](https://github.com/numba/numba) is an open source, NumPy-aware optimizing compiler for Python sponsored by Anaconda, Inc. It uses the LLVM compiler project to generate machine code from Python syntax. Numba can compile a large subset of numerically-focused Python, including many NumPy functions. Additionally, Numba has support for automatic parallelization of loops, generation of GPU-accelerated code, and creation of ufuncs and C callbacks.\n\n[Chainer](https://chainer.org/) is a Python-based deep learning framework aiming at flexibility. It provides automatic differentiation APIs based on the define-by-run approach (dynamic computational graphs) as well as object-oriented high-level APIs to build and train neural networks. It also supports CUDA/cuDNN using [CuPy](https://github.com/cupy/cupy) for high performance training and inference.\n\n[cuML](https://github.com/rapidsai/cuml) is a suite of libraries that implement machine learning algorithms and mathematical primitives functions that share compatible APIs with other RAPIDS projects. cuML enables data scientists, researchers, and software engineers to run traditional tabular ML tasks on GPUs without going into the details of CUDA programming. In most cases, cuML's Python API matches the API from scikit-learn.\n\n## Online ML Learning Resources\n\n[Machine Learning by Stanford University from Coursera](https://www.coursera.org/learn/machine-learning)\n\n[Machine Learning Courses Online from Coursera](https://www.coursera.org/courses?query=machine%20learning\u0026)\n\n[Machine Learning Courses Online from Udemy](https://www.udemy.com/topic/machine-learning/)\n\n[Learn Machine Learning with Online Courses and Classes from edX](https://www.edx.org/learn/machine-learning)\n\n# Robotics\n\n[Back to the Top](https://github.com/mikeroyal/macOS-iOS-iPadOS-Guide/blob/main/README.md#table-of-contents)\n\n\u003cp align=\"center\"\u003e\n \u003cimg src=\"https://user-images.githubusercontent.com/45159366/96352533-b55fb380-1078-11eb-874c-f165cbcce899.png\"\u003e\n\u003c/p\u003e\n\n## Tools for Robotics\n\n[ROS](https://www.ros.org/) is robotics middleware. Although ROS is not an operating system, it provides services designed for a heterogeneous computer cluster such as hardware abstraction, low-level device control, implementation of commonly used functionality, message-passing between processes, and package management.\n\n[ROS2](https://index.ros.org/doc/ros2/) is a set of [software libraries and tools](https://github.com/ros2) that help you build robot applications. From drivers to state-of-the-art algorithms, and with powerful developer tools, ROS has what you need for your next robotics project. And it’s all open source.\n\n[Robot Framework](https://robotframework.org/) is a generic open source automation framework. It can be used for test automation and robotic process automation. It has easy syntax, utilizing human-readable keywords. Its capabilities can be extended by libraries implemented with Python or Java. \n\n[The Robotics Library (RL)](https://github.com/roboticslibrary/rl) is a self-contained C++ library for robot kinematics, motion planning and control. It covers mathematics, kinematics and dynamics, hardware abstraction, motion planning, collision detection, and visualization.RL runs on many different systems, including Linux, macOS, and Windows. It uses CMake as a build system and can be compiled with Clang, GCC, and Visual Studio.\n\n[MoveIt](https://moveit.ros.org/) is the most widely used software for manipulation and has been used on over 100 robots. It provides an easy-to-use robotics platform for developing advanced applications, evaluating new designs and building integrated products for industrial, commercial, R\u0026D, and other domains.\n\n[AutoGluon](https://autogluon.mxnet.io/index.html) is toolkit for [Deep learning](https://gitlab.com/maos20008/intro-to-machine-learning) that automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications. With just a few lines of code, you can train and deploy high-accuracy deep learning models on tabular, image, and text data.\n\n[Gazebo](http://gazebosim.org/) accurately and efficiently simulates indoor and outdoor robots. You get a robust physics engine, high-quality graphics, and programmatic and graphical interfaces.\n\n[Robotics System Toolbox](https://www.mathworks.com/products/robotics.html) provides tools and algorithms for designing, simulating, and testing manipulators, mobile robots, and humanoid robots. For manipulators and humanoid robots, the toolbox includes algorithms for collision checking, trajectory generation, forward and inverse kinematics, and dynamics using a rigid body tree representation. \nFor mobile robots, it includes algorithms for mapping, localization, path planning, path following, and motion control. The toolbox provides reference examples of common industrial robot applications. It also includes a library of \ncommercially available industrial robot models that you can import, visualize, and simulate.\n\n[Intel Robot DevKit](https://github.com/intel/robot_devkit) is the tool to generate Robotics Software Development Kit (RDK) designed for autonomous devices, including the ROS2 core and capacibilities packages like perception, planning, control driver etc. It provides flexible build/runtime configurations to meet different autonomous requirement on top of diversity hardware choices, for example use different hareware engine CPU/GPU/VPU to accelerate AI related features.\n\n[Arduino](https://www.arduino.cc/) is an open-source platform used for building electronics projects. Arduino consists of both a physical programmable circuit board (often referred to as a microcontroller) and a piece of software, or IDE (Integrated Development Environment) that runs on your computer, used to write and upload computer code to the physical board.\n\n[ArduPilot](https://ardupilot.org/ardupilot/index.html) enables the creation and use of trusted, autonomous, unmanned vehicle systems for the peaceful benefit of all. ArduPilot provides a comprehensive suite of tools suitable for almost any vehicle and application.\n\n[AirSim](https://github.com/Microsoft/AirSim) is a simulator for drones, cars and more, built on Unreal Engine (we now also have an experimental Unity release). It is open-source, cross platform, and supports hardware-in-loop with popular flight controllers such as PX4 for physically and visually realistic simulations.\n\n[F´ (F Prime)](https://github.com/nasa/fprime) is a component-driven framework that enables rapid development and deployment of spaceflight and other embedded software applications. Originally developed at the Jet Propulsion Laboratory, F´ has been successfully deployed on several space applications.\n\n[The JPL Open Source Rover](https://github.com/nasa-jpl/open-source-rover) is an open source, build it yourself, scaled down version of the 6 wheel rover design that JPL uses to explore the surface of Mars. The Open Source Rover is designed almost entirely out of consumer off the shelf (COTS) parts. This project is intended to be a teaching and learning experience for those who want to get involved in mechanical engineering, software, electronics, or robotics.\n\n[Light Detection and Ranging(LiDAR)](https://en.wikipedia.org/wiki/Lidar) is a remote sensing method that uses light in the form of a pulsed laser at an object, and uses the time and wavelength of the reflected beam of light to estimate the distance and in some applications ([Laser Imaging](https://en.wikipedia.org/wiki/Laser_scanning)), to create a 3D representation of the object and its surface characteristics. This technology is commonly used in aircraft and self-driving vehicles.\n\n[AliceVision](https://github.com/alicevision/AliceVision) is a Photogrammetric Computer Vision Framework which provides a 3D Reconstruction and Camera Tracking algorithms. AliceVision aims to provide strong software basis with state-of-the-art computer vision algorithms that can be tested, analyzed and reused. The project is a result of collaboration between academia and industry to provide cutting-edge algorithms with the robustness and the quality required for production usage.\n\n[CARLA](https://github.com/carla-simulator/carla) is an open-source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. The simulation platform supports flexible specification of sensor suites and environmental conditions.\n\n[ROS bridge](https://github.com/carla-simulator/ros-bridge) is a package to bridge ROS for CARLA Simulator.\n\n[ROS-Industrial](https://rosindustrial.org/) is an open source project that extends the advanced capabilities of ROS software to manufacturing.\n\n[AWS RoboMaker](https://aws.amazon.com/robomaker/) is the most complete cloud solution for robotic developers to simulate, test and securely deploy robotic applications at scale. RoboMaker provides a fully-managed, scalable infrastructure for simulation that customers use for multi-robo","projects_url":"https://awesome.ecosyste.ms/api/v1/lists/mikeroyal%2Fmacos-ios-ipados-guide/projects"}