Atomic state management and dependency injection library for SwiftUI applications.
Atoms is a SwiftUI library that provides an atomic approach to state management and dependency injection. It enables developers to build robust, testable applications by integrating solutions for both state handling and dependency management while optimizing rendering through a dependency graph to prevent unnecessary re-renders.
SwiftUI developers building iOS, macOS, tvOS, or watchOS applications who need a unified, testable solution for state management and dependency injection. It's particularly suited for teams prioritizing compile-time safety, performance optimization, and comprehensive testing support.
Developers choose Atoms over alternatives because it uniquely combines state management and dependency injection into a single, compile-safe system with automatic rendering optimization. Its built-in tools for testing, time-travel debugging, and a composable atomic architecture offer a practical and integrated solution for modern SwiftUI app development.
⚛️ Atomic approach state management and dependency injection for SwiftUI
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Successful compilation guarantees all dependencies are correctly injected, reducing runtime errors and enabling reliable, testable app architecture as highlighted in the README.
Tracks dependencies in a graph to prevent unnecessary view re-renders, optimizing performance for complex SwiftUI interfaces without manual intervention.
Provides AtomTestContext for hermetic testing with mock dependency injection, making unit tests straightforward and reproducible, as demonstrated in the example apps.
Allows capturing and restoring snapshots of the atom state graph for debugging, enabling developers to inspect and revert state changes easily.
Requires understanding various atom types (e.g., ValueAtom, TaskAtom) and modifiers, which can be overwhelming for developers new to atomic state management patterns.
Necessitates wrapping views in AtomRoot and defining atoms for all state pieces, increasing initial setup and code verbosity compared to simpler alternatives.
As a newer library, it has fewer community resources, third-party integrations, and battle-tested examples compared to established options like TCA or Riverpod.