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Rust for native business logic, Flutter for flexible and beautiful GUI. Rinf is a production-ready framework for creating beautiful and performant cross-platform apps using Flutter and Rust with batteries fully included. Simply add this framework to your app project, and you're all set to write Flutter and Rust together. There are no webviews, web servers, hidden threads, or unnecessary memory copying that might cause performance overhead. This setup acts as a very thin wrapper around Dart...

A GraphQL client for Flutter, bringing all the features from a modern GraphQL client to one easy to use package. GraphQL brings many benefits, both to the client: devices will need fewer requests, and therefore reduce data usage. And to the programmer: requests are arguable, they have the same structure as the request. This project combines the benefits of GraphQL with the benefits of Streams in Dart to deliver a high-performance client. The project took inspiration from the Apollo GraphQL...

ObjectBox Flutter database is a great option for storing Dart objects in your cross-platform apps. Minimal CPU, memory and battery use make it an ideal choice for mobile and IoT devices. Made for efficient data access, the ObjectBox Flutter database is 10x faster than any alternative. See the performance benchmarks below. No need to learn SQL, as our NoSQL database uses a pure Dart API that is easy to work with and can be integrated in minutes. Plus: We built a data synchronization solution...

... you want to do, there is always an easier way with GetX. It will save hours of development and will provide the maximum performance your application can deliver. Generally, the developer should be concerned with removing controllers from memory. With GetX this is not necessary because resources are removed from memory when they are not used by default. If you want to keep it in memory, you must explicitly declare "permanent: true" in your dependency.

... a statically-typed ORM, OAuth 2.0 provider, automated testing libraries, and OpenAPI 3.0 integration. Aqueduct's memory-isolated threads leverage every CPU without writing any code. No race conditions or complicated synchronization logic to worry about. A familiar, higher-order functional syntax makes application flow easy to construct and read. Powerful, statically typed queries enable code-completion and refactoring tools while minimizing error.