Integrating Flutter with native Rust libraries can seem daunting at first, but with the flutter_rust_bridge template, it becomes an approachable task. This article will guide you through the setup process, ensuring you can harness the power of Rust in your Flutter projects. Let’s dive in!
Prerequisites
Before we jump into the setup process, make sure you have the following items installed:
- Flutter SDK
- Rust language
- flutter_rust_bridge_codegen cargo package
- Appropriate Rust targets for cross-compiling to your device
- For Android targets:
- Install cargo-ndk
- Install Android NDK 22 and set its path in one of the gradle.properties files, e.g.:
echo ANDROID_NDK=.. ~/.gradle/gradle.properties
- Install cargo-xcode
Running Your Application
Once you have set up all your dependencies, launch your Flutter application by executing:
flutter run
If you’re targeting the web, use the following command instead:
dart run flutter_rust_bridge:serve
As you become familiar with these commands, dive into our comprehensive documentation here to master writing and implementing your binding code.
Generating and Editing Code
With your Rust code structured in api.rs, you can generate the necessary bridge files using the flutter_rust_bridge_codegen command:
For Windows:
flutter_rust_bridge_codegen --rust-input native/src/api.rs --dart-output .libbridge_generated.dart --dart-decl-output .libbridge_definitions.dart
For Linux, macOS, or any other Unix:
flutter_rust_bridge_codegen --rust-input native/src/api.rs --dart-output .libbridge_generated.dart --dart-decl-output .libbridge_definitions.dart
Scaffolding for Existing Projects
If you want to incorporate flutter_rust_bridge into an existing project, the flutter_rust_bridge brick is designed to help you generate boilerplate code easily. Check it out for detailed instructions!
Troubleshooting
While setting up your project, you may encounter some hiccups. Here are a few troubleshooting tips:
- If you can’t seem to run your application, double-check the installation paths for the Android NDK and ensure they are correctly referenced in the gradle.properties file.
- If you hit errors while generating bridge files, confirm that your Rust code in
api.rsis properly formatted and doesn’t contain syntax errors. - If you’re having trouble with web support, ensure you have followed the Web dependencies guidelines thoroughly.
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Conclusion
At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

