A Swift library providing protocols and convenience methods to manage application preferences, configurations, and app-state.
Prephirences is a Swift library that provides a unified set of protocols and convenience methods for managing application preferences, configurations, and app-state. It abstracts various storage backends like UserDefaults, Keychain, and property lists into a single, type-safe interface, simplifying how developers handle persistent data across iOS, macOS, and tvOS apps.
Swift developers building iOS, macOS, or tvOS applications who need a flexible and type-safe way to manage preferences, configurations, or app-state across multiple storage solutions.
Developers choose Prephirences for its abstraction over diverse storage systems, type-safe access patterns, and extensible architecture, which reduces boilerplate and ensures consistency when working with preferences.
Prephirences is a Swift library that provides useful protocols and convenience methods to manage application preferences, configurations and app-state. UserDefaults
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Provides consistent protocols (PreferencesType, MutablePreferencesType) for accessing diverse backends like UserDefaults, Keychain, and plists, reducing boilerplate code as shown in the README's usage examples.
Supports RawRepresentable enum keys and MutablePreference wrappers, enabling compile-time safety for preference keys and values, illustrated in the Accessing and Modifying sections.
Allows combining multiple preference sources (e.g., UserDefaults, iCloud) into a single interface via CompositePreferences and prefix-based organization with ProxyPreferences, detailed in the Composing section.
Enables custom transformations, archiving of complex objects (like UIColor), and default value fallbacks through PreferenceTransformation, with examples in the Transformation and Archiving section.
Requires understanding of multiple protocols and setup steps (e.g., Cocoapods subspecs for Core Data or RawRepresentable keys), which can be overkill for simple preference management compared to native APIs.
As a niche library, it has fewer third-party extensions and community support; the README shows dependencies on separate projects like Alamofire-Prephirences for remote preferences, adding maintenance overhead.
The abstraction layer introduces indirect access and transformation steps, potentially impacting performance in high-frequency preference access scenarios, though not explicitly benchmarked in the documentation.