General-purpose contextual cards for iOS
- ios
- card
- onboarding
- configuration
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General-purpose contextual cards for iOS
TranslatedUseful for showing text or custom view tags in a vertical or horizontal scrollable view and support Autolayout at the same time. It is highly customizable that most features of the text tag can be configured. A tag flow display control that supports both text and custom views.
Simple Swift class to provide all the configurations you need to create custom camera view in your app
Icons fonts for iOS (Font Awesome 5, Iconic, Ionicon, Octicon, Themify, MapIcon, MaterialIcon, Foundation 3, Elegant Icon, Captain Icon)
It is a highly configurable iOS library which allows easy styling with built in styles as well as extra header and footer views so that you can make extremely unique alerts and action sheets.
Declarative, configurable & highly reusable UI development as making Lego bricks.
An iOS UIView for presenting a minimalistic notification that doesn't block the UI and is highly configurable.
An open-source Swift framework for building event-driven, zero-config Multipeer Connectivity apps
URLEmbeddedView automatically caches the object that is confirmed the Open Graph Protocol.
Prephirences is a Swift library that provides useful protocols and convenience methods to manage application preferences, configurations and app-state. UserDefaults
Swipe between pages with an interactive title navigation control. Configure horizontal or vertical chains for unlimited pages amount.
Confetti View lets you create a magnificent confetti view in your app
A highly configurable and out-of-the-box-pretty UI library
Configurable consent SDK for iOS
Google Material Design Icons for Swift and ObjC project
Super powerful remote config utility written in Swift (iOS, watchOS, tvOS, OSX)
TraceLog is a highly configurable, flexible, portable, and simple to use debug logging system for Swift and Objective-C applications running on Linux, macOS, iOS, watchOS, and tvOS.
OtosakuStreamingASR-iOS is a real-time speech recognition engine for iOS, built with Swift and Core ML. It uses a fast and lightweight streaming Conformer model optimized for on-device inference. Designed for developers who need efficient audio transcription on mobile.