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Back to reactive-extensions/rxjs

Open-source alternatives to RxJS

30 open-source projects similar to reactive-extensions/rxjs, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best RxJS alternative.

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    Reactor Core is a reactive programming toolkit and non-blocking foundation for composing asynchronous data pipelines on the JVM. It serves as an asynchronous stream processing framework and a backpressure management system, allowing developers to transform, filter, and combine sequences of events while regulating data flow between producers and consumers to prevent resource exhaustion. The library differentiates itself through a sophisticated concurrency scheduling system and demand-based flow control. It decouples signal processing from specific threads using a scheduler registry and provide

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    Reactor is a reactive streams library and framework for building asynchronous data pipelines. It provides a system for coordinating execution contexts via an asynchronous event-loop manager, alongside a set of reactive abstractions for implementing high-performance TCP, UDP, QUIC, and HTTP services. The project includes a specialized testing tool for verifying the timing and order of asynchronous data flows and a bill of materials to synchronize compatible versions of core reactive libraries and networking add-ons. Its capability surface covers non-blocking network services, demand-based bac

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    zio/zio

    4,347Voir sur GitHub↗

    ZIO is a functional effect system for the JVM that models asynchronous and concurrent programs as pure, composable values with typed error handling and dependency injection. Its core identity is built on fiber-based concurrency, where lightweight, non-blocking fibers execute millions of concurrent tasks with structured lifecycle management, and a dual-channel error model that separates expected business failures from unexpected system defects at compile time. The system provides effect-typed dependency injection through a layer-based dependency graph, pull-based reactive stream processing with

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    RxPY is a functional reactive programming library and a ReactiveX observable library for Python. It serves as an asynchronous stream processor and event-driven coordination framework used to build data pipelines that react to changes in state or streams of events over time. The library provides a toolkit for composing asynchronous and event-based programs using observable sequences and operators. It distinguishes itself through the use of configurable schedulers to manage concurrency, timing, and subscription lifecycles. The project covers a wide range of stream processing capabilities, incl

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