ReactiveX/RxKotlin

Features

• Asynchronous Streams - Provides language constructs for processing continuous flows of data asynchronously without blocking execution.
• Functional Reactive Programming - Implements a functional reactive programming paradigm for building declarative data pipelines that react to changes.
• Stream Processors - Acts as a toolkit for the transformation, filtering, and flattening of asynchronous data streams.
• RxJava Kotlin Bindings - Integrates RxJava reactive streams into Kotlin via specialized extension functions and language idioms.
• Kotlin Extensions - Provides a collection of wrappers that apply Kotlin-specific conventions to a reactive framework.
• Language Extension APIs - Provides a set of Kotlin extension functions that add reactive operators to existing types to reduce boilerplate.
• Reactive Programming for Kotlin - Enables the construction of asynchronous and event-driven applications using concise Kotlin-specific reactive idioms.
• Compositional Streaming Pipelines - Implements compositional streaming pipelines by chaining higher-order functions to transform and aggregate asynchronous event streams.
• Language Interoperability Layers - Wraps RxJava to provide a seamless bridge between Java bytecode and Kotlin-specific reactive idioms.
• Reactive Programming Libraries - Functions as a library for composing asynchronous and event-based data streams using functional operators.
• RxJava Integrations - Integrates RxJava patterns within Kotlin projects to manage complex event sequences and asynchronous data streams.
• Type-Safe Stream Casting - Uses language-level type constraints to filter and cast stream elements while maintaining compile-time type safety.
• Nested Stream Flattening - Provides capabilities to merge or switch between multiple inner streams emitted by a primary source stream.
• Collection-to-Stream Conversion - Transforms arrays, iterables, and iterators into asynchronous streams for reactive processing.
• Lazy Transformations - Employs lazy transformations on data streams, ensuring operations are only executed upon observer subscription.
• Type-Based Filters - Provides operators to filter and cast stream elements based on specific types to ensure strict type safety in pipelines.
• Asynchronous Data Routing - Directs the flow of emitted items through discrete logic blocks to manage asynchronous event propagation.
• Reactive Pattern Simplifications - Uses extension functions to streamline reactive programming patterns and reduce boilerplate code.
• Stream Aggregation - Collects emitted stream elements into summarized data structures like maps or multimaps.
• Kotlin Libraries - RxJava bindings for Kotlin

Star history