3 Repos
Application of reactive programming paradigms specifically using Kotlin language idioms and extensions.
Distinct from Kotlin Extensions: Candidates are either too generic (Reactive Programming) or too focused on general extensions rather than the reactive paradigm.
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RxKotlin is a reactive programming library and asynchronous stream processor that provides Kotlin language extensions for composing event-based data streams. It serves as a set of Kotlin bindings for RxJava, allowing developers to transform, filter, and flatten sequences of data emitted over time. The library focuses on integrating RxJava patterns into Kotlin projects by applying language-specific conventions and idioms. It utilizes extension functions to simplify reactive programming patterns, reduce boilerplate, and optimize workflows within the reactive ecosystem. The toolkit covers a bro
Enables the construction of asynchronous and event-driven applications using concise Kotlin-specific reactive idioms.
This repository serves as an educational resource for implementing asynchronous programming patterns in Android applications using Kotlin Coroutines and Flow. It provides a collection of practical examples and unit tests designed to demonstrate how to manage background tasks, concurrent network requests, and reactive data streams while maintaining a responsive user interface. The project focuses on structured concurrency, offering patterns for organizing tasks into hierarchical scopes that automatically propagate cancellation and lifecycle signals. It emphasizes the integration of lifecycle-a
Implements reactive data pipelines using Kotlin Flow to process and transform continuous streams of information.
This framework provides a structured implementation of the Model-View-Intent pattern for Android applications. It enforces a unidirectional data flow where user intents trigger state updates, which are then propagated through reactive streams to ensure consistent and predictable interface rendering. The architecture relies on immutable state objects to represent application data, ensuring that updates are handled as complete replacements rather than partial modifications. By leveraging Kotlin Coroutines and reactive stream primitives, the framework coordinates asynchronous background tasks an
Coordinates asynchronous background tasks and UI updates using reactive programming paradigms and Kotlin idioms.