EFQRCode is a pure-Swift, cross-platform Apple framework for generating stylized and highly customizable QR codes, and for recognizing QR codes from images. The core production code exposes two primary entry points: `EFQRCode.Generator` and `EFQRCode.Recognizer`. The generator accepts text/data input, encodes it using the external `QRCodeSwift` package, maps the resulting matrix through a strategy-based style hierarchy (`EFQRCodeStyleBasic`, `EFQRCodeStyleBubble`, `EFQRCodeStyleLine`, `EFQRCodeStyle25D`, `EFQRCodeStyleImage`, etc.), and produces SVG representations which are then rasterized by `SwiftDraw` into static images, PDFs, GIFs, APNGs, or AVFoundation-backed video files. The recognizer uses CoreImage-based detection with grayscale fallback and result caching. The library is heavily documented, supports iOS, macOS, tvOS, watchOS, and visionOS, and is distributed through SPM, CocoaPods, and Carthage. The `Examples/` directory contains demo apps for each platform that act as integration-style usage references, but these are example clients rather than the core deliverable. This is definitively an application/library repository; there are no data pipelines, notebooks, or research artifacts.
This is a privacy-focused Android application for scanning and generating QR codes and barcodes, developed by the SECUSO research group (Security, Usability, Society) at TU Darmstadt. The app uses the device camera to decode codes, supports image picker scanning, and provides a QR code generator for various content types (URL, text, email, phone, SMS, WiFi, vCard, MeCard, BizCard, geo-location, product, calendar, etc.). It emphasizes minimal permissions (only camera, no internet required for scanning) and includes phishing protection by highlighting domains and requiring user confirmation before opening links. The architecture follows standard Android patterns: Activities with ViewModel + LiveData, Room database for scan history, Repository pattern, and a navigation drawer for main sections (Scanner, Generator, History, Settings, Help, About). The codebase is a mix of Java and Kotlin, uses AndroidX, Material Design, ZXing for barcode decoding, and Glide for image loading. It also integrates a backup service via a git submodule (privacy-friendly-backup-api). The app is part of the Privacy Friendly Apps suite and is licensed under GPLv3.