Packages for keyword “ios”
These packages are available as a package collection, usable in Xcode or SwiftPM.
Note: Package collections are limited to 300 packages. The “ios” keyword currently has 1,756 associated packages, so its package collection includes only the top 300 packages by package score.
SWindow
Easy to use Swift windows manager
SwinjectMacros
A Collection of macros to interact with Swinject
SymbolKit
Lightweight Swift package that unifies SF Symbols and custom asset icons across SwiftUI and UIKit, with convenient Image/Label/UIImage initializers and SPM-ready tests.
TakeASelfie
An iOS framework that uses the front camera, detects your face and takes a selfie.
ToastSwiftUI
SwiftUI 'Toast' (iOS 18)
TweaKit
Yet another library for adjusting parameters and feature flagging.
UIViewPreview
Mattt's beautiful gist to gain SwiftUI previews for your UIViews turned into Swift Package.
UserCaches
A key-value storage cache tool on iOS Platform. Like UserDefaults.
Voyager
Framework for navigation & routing in SwiftUI
Weakable
An easy way to hold weak references in Swift.
xcutility
A tool to find and delete files that are missing from Xcode projects
YandexMapsMobile
Yandex Maps Mobile full Swift package
ZBSimplePluginManager
A simple plug-in system by using JavaScriptCore.
IzzyParser
IzzyParser is an iOS library for serializing and deserializing JSON:API objects
KipplePlugins
A collection of Swift Package Manager plugins.
MeterReporter
Lightweight MetricKit-based diagnostics reporting
RemoteImage
A drop-in alternative to SwiftUI's AsyncImage, with support for custom URLSessions, caching, and animated phase changes.
Acheron
Aepryus Software's iOS Library
AIChatKit
A Swift package that gives every app a single, unified chat interface across cloud and on-device AI providers. OpenAI, Anthropic, and Apple Intelligence all share the same protocol, message model, and optional SwiftUI components — swap providers with a one-line change.
AIChatKitLlama
Adds on-device GGUF inference via llama.cpp to any app already using AIChatKit. Models run entirely in-process using Metal GPU acceleration — no network calls after the initial download.