Compare the Top Development Frameworks that integrate with Xcode as of July 2025

This a list of Development Frameworks that integrate with Xcode. Use the filters on the left to add additional filters for products that have integrations with Xcode. View the products that work with Xcode in the table below.

What are Development Frameworks for Xcode?

Development frameworks are code libraries and development tools that streamline the development process for developers that build applications. Development frameworks simplify the process of programming in different languages. There are a variety of different types of development frameworks including web development frameworks, mobile app development frameworks, frontend and backend frameworks, and more. Compare and read user reviews of the best Development Frameworks for Xcode currently available using the table below. This list is updated regularly.

  • 1
    SwiftUI

    SwiftUI

    Apple

    SwiftUI helps you build great-looking apps across all Apple platforms with the power of Swift — and surprisingly little code. You can bring even better experiences to everyone, on any Apple device, using just one set of tools and APIs. Build sophisticated animations with expanded animation support. Use phases to create sequences of animations, or create multiple animation tracks using keyframes. SwiftUI automatically transfers the velocity of a user gesture to your animations so your app feels fluid and natural. Share more of your SwiftUI code with your watchOS apps. Scroll vertical TabViews using the crown, match colors with adaptive background containers, take advantage of edge-to-edge displays with new ToolbarItem placements, and leverage NavigationSplitView to build detailed list views.
    Starting Price: Free
  • 2
    Core ML

    Core ML

    Apple

    Core ML applies a machine learning algorithm to a set of training data to create a model. You use a model to make predictions based on new input data. Models can accomplish a wide variety of tasks that would be difficult or impractical to write in code. For example, you can train a model to categorize photos or detect specific objects within a photo directly from its pixels. After you create the model, integrate it in your app and deploy it on the user’s device. Your app uses Core ML APIs and user data to make predictions and to train or fine-tune the model. You can build and train a model with the Create ML app bundled with Xcode. Models trained using Create ML are in the Core ML model format and are ready to use in your app. Alternatively, you can use a wide variety of other machine learning libraries and then use Core ML Tools to convert the model into the Core ML format. Once a model is on a user’s device, you can use Core ML to retrain or fine-tune it on-device.
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