Open Source Swift Library Management Software

This repository provides educational material and sample code that demystify how containerization works and how container components fit together in practice. It walks through the responsibilities of an image format, registry, and runtime, and shows how a minimal runtime can assemble an isolated process with the right filesystem view, environment, and entrypoint. The samples highlight security hardening considerations—such as process isolation, filesystem scoping, and least-privilege execution—so that containers are not just portable, but safer by default. Developers get a blueprint for taking standard container images and running them in a way that respects platform conventions, tooling, and policies. The emphasis is on clarity and standards alignment rather than building a production-grade engine, which makes the code ideal for learning and experimentation.

A tool to enforce Swift style and conventions, loosely based on the now archived GitHub Swift Style Guide. SwiftLint enforces the style guide rules that are generally accepted by the Swift community. These rules are well described in popular style guides like Ray Wenderlich’s Swift Style Guide. SwiftLint hooks into Clang and SourceKit to use the AST representation of your source files for more accurate results. You might want to move your SwiftLint phase directly before ‘Compile Sources’ step, to detect errors quickly before compiling. However, SwiftLint is designed to run on valid Swift code that cleanly completes the compiler’s parsing stage. So running SwiftLint before ‘Compile Sources’ might yield some incorrect results. SwiftLint hooks into SourceKit so it continues working even as Swift evolves! This also keeps SwiftLint lean, as it doesn’t need to ship with a full Swift compiler, it just communicates with the official one you already have installed on your machine.

Live data shows the most recent data, and updates automatically. Distribution map with two levels of details. Countries, when the user zooms out. Fewer details and reduced clutter. Cities, when the user zooms in. More details. Charts, current state chart for all countries (and cities). Timeline chart for all countries (and cities). Top affected countries chart with info about every country. Daily new cases shows how fast the virus is spreading in a given country. Cases since the 100th case how fast the virus is spreading in different countries. Option for using a logarithmic scale. Search for countries & cities. Share stats & charts as images. Today widget for worldwide stats. Red color scale reflects the number of confirmed cases. In addition to increasing circle size. Statistics, including the number of confirmed, recovered, and deaths, in addition to percents. iPad & macOS support.

Stores your favorites Books. Lets you track the Users logged,signed up. Time tracing of system access. Delete, and Add both Categories and Books. No fussy configurations, embedded database with Java Runtime Environment enabled.

SwifterSwift is a collection of over 500 native Swift extensions, with handy methods, syntactic sugar, and performance improvements for a wide range of primitive data types, UIKit and Cocoa classes, over 500 in 1– for iOS, macOS, tvOS, watchOS, and Linux. CocoaPods is a dependency manager for Cocoa projects. To integrate SwifterSwift into your Xcode project using CocoaPods, specify it in your Podfile. SwifterSwift is Swift v5.0+ compatible starting from v5. SwifterSwift is a library of over 500 properties and methods, designed to extend Swift's functionality and productivity, staying faithful to the original Swift API design guidelines. Documentation for all extensions, with examples, is available at the homepage. Check Examples.playground from the project for some cool examples!

Cosmos (by OpenGenus Foundation) is your personal offline collection of every algorithm and data structure one will ever encounter and use in a lifetime. This provides solutions in various languages spanning C, C++, Java, JavaScript, Swift, Python, Go and others. This work is maintained by a community of hundreds of people and is a massive collaborative effort to bring the readily available coding knowledge offline.