How to cache images with Siesta in Swift?

Use the built-in RemoteImageView or create a custom resource observer that loads image URLs. Siesta handles caching transparently with ETag and If-Modified-Since headers, and you can configure custom cache policies as demonstrated in the RemoteImageView example.

Siesta vs Alamofire: which is better for REST APIs?

Siesta excels at observable resource state and caching for UI-driven apps, while Alamofire provides robust low-level HTTP control. Choose Siesta for simplifying state management, but use Alamofire if you need advanced networking features like SSL pinning or file operations.

How to handle errors in Siesta?

Errors are unified in the Resource's latestError property, covering network, server, and parsing issues. Access user-friendly messages via error.userMessage and implement custom handling in observers, as shown in the Basic Usage code snippets.

Siesta Observable resource example

Add an observer to a resource using addObserver in viewDidLoad, then update UI in resourceChanged. For instance, to display profile data, configure a transformer for the /profile endpoint and observe changes, as detailed in the Basic Usage section.

How to integrate Siesta with Core Data?

Siesta doesn't have built-in Core Data support. You'll need to manually sync resource data with Core Data contexts using response transformers or observers, which can add complexity and extra code.

Siesta Swift version compatibility

Siesta requires Swift 5.3+ and Xcode 12+, with legacy branches (swift-*) available for older versions. Check the GitHub branches if you're on an earlier Swift release, as mentioned in the Installation section.

Open-Awesome

Siesta

MITSwift1.5.2

A Swift framework for iOS/macOS that provides an observable client-side cache for RESTful resources, simplifying state management in networked apps.

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What is Siesta?

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.

Target Audience

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.

Value Proposition

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.

Overview

The civilized way to write REST API clients for iOS / macOS

Use Cases

Best For

Building iOS/macOS apps with complex REST API interactions
Eliminating redundant network requests and parsing in mobile clients
Implementing observable data layers that automatically update UIs
Simplifying error handling and loading state management in networked views
Creating custom image loading and caching components similar to AFNetworking's UIImageView extension
Apps that need to support both Swift and Objective-C codebases

Not Ideal For

Projects requiring automatic JSON-to-object model mapping or Core Data integration
Apps that heavily rely on built-in file upload and download operations
Cross-platform development targeting Android, web, or other non-Apple ecosystems
Teams deeply invested in request-centric networking libraries who prefer a traditional RPC-style approach

Pros & Cons

Pros

Observable Resource State

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.

Automatic Request Deduplication

Prevents redundant network requests and response parsing, reducing bandwidth and bugs, which is a core feature highlighted in the Key Features list.

Extensible Response Transformation

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.

Built-in UI Helpers

Includes prebaked components like ResourceStatusOverlay for loading indicators and error handling, speeding up UI development, as shown in the Basic Usage example.

Cons

No Automatic Model Mapping

Lacks built-in object mapping features, requiring developers to write custom transformers for complex data structures, unlike frameworks like RestKit.

Platform Lock-in

Limited to Apple's iOS, macOS, and tvOS, making it unsuitable for projects needing cross-platform support, as stated in the OS requirements.

Limited File Operations

Does not provide native support for file upload and download tasks, which are available in alternatives like Alamofire, as shown in the comparison table.

Frequently Asked Questions

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