Image Loading System

Serving Images Since 2015

Load images from different sources and display them in your app using simple and flexible APIs. Take advantage of the powerful image processing capabilities and a robust caching system.

The framework is lean and compiles in under 2 seconds¹. It has an automated test suite 2x the codebase size, ensuring excellent reliability. Nuke is optimized for performance, and its advanced architecture enables virtually unlimited possibilities for customization.

Memory and Disk Cache · Image Processing & Decompression · Request Coalescing & Priority · Prefetching · Resumable Downloads · Progressive JPEG · HEIF, WebP, GIF · SwiftUI · Async/Await

Sponsors

      <p>Proxyman</p>
    </a>
</td>

Documentation

Load images using ImagePipeline from the lean core Nuke module:

func loadImage() async throws {
    let imageTask = ImagePipeline.shared.imageTask(with: url)
    for await progress in imageTask.progress {
        // Update progress
    }
    imageView.image = try await imageTask.image
}

Or use the built-in UI components from NukeUI:

struct ContentView: View {
    var body: some View {
        LazyImage(url: URL(string: "https://example.com/image.jpeg"))
    }
}

The Getting Started guide is the best place to start. Check out Nuke Demo for more examples.

Installation

Nuke supports Swift Package Manager, which is the recommended option. If that doesn't work for you, you can use binary frameworks attached to the releases.

The package ships with four modules that you can install depending on your needs:

Extensions

The image pipeline is easy to customize and extend. Check out the following first-class extensions and packages built by the community.

Looking for a way to log your network requests, including image requests? Check out Pulse.

Minimum Requirements

Upgrading from the previous version? Use a Migration Guide.

License

Nuke is available under the MIT license. See the LICENSE file for more info.

<a name="footnote-1">¹</a> Measured on MacBook Pro 14" 2021 (10-core M1 Pro)