A Swift framework for iOS/macOS that provides an observable client-side cache for RESTful resources, simplifying state management in networked apps.
Siesta is a Swift framework for building REST API clients on iOS and macOS. It solves the complexity of managing network state in apps by providing an observable, cached model of RESTful resources that automatically handles loading, errors, and updates. Instead of tracking requests and responses manually, developers can observe resource state changes and let Siesta manage deduplication, parsing, and caching.
iOS and macOS developers building apps that consume REST APIs and need robust handling of network state, caching, and UI updates. It's especially valuable for teams tired of writing repetitive networking boilerplate and dealing with race conditions.
Developers choose Siesta because it eliminates the error-prone state tracking logic typical in networked apps, reduces boilerplate code, and provides a clean abstraction that decouples network lifecycle from UI lifecycle. Its observable resource model and built-in UI helpers let developers focus on app logic rather than networking intricacies.
The civilized way to write REST API clients for iOS / macOS
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Unifies data, errors, and loading status into a single model with automatic notifications, eliminating manual state tracking logic as described in the README's 'The Problem' section.
Prevents redundant network requests and response parsing, reducing bandwidth and bugs, which is a core feature highlighted in the Key Features list.
Supports custom transformers to convert raw responses into any model type, giving full control without framework constraints, as noted in the 'What it doesn’t do' section.
Includes prebaked components like ResourceStatusOverlay for loading indicators and error handling, speeding up UI development, as shown in the Basic Usage example.
Lacks built-in object mapping features, requiring developers to write custom transformers for complex data structures, unlike frameworks like RestKit.
Limited to Apple's iOS, macOS, and tvOS, making it unsuitable for projects needing cross-platform support, as stated in the OS requirements.
Does not provide native support for file upload and download tasks, which are available in alternatives like Alamofire, as shown in the comparison table.