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  1. Stackups
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  5. EventBus vs RxJS

EventBus vs RxJS

OverviewComparisonAlternatives

Overview

RxJS
RxJS
Stacks4.4K
Followers638
Votes21
GitHub Stars19.4K
Forks2.1K
EventBus
EventBus
Stacks81
Followers34
Votes0
GitHub Stars24.8K
Forks4.7K

EventBus vs RxJS: What are the differences?

Introduction: In this Markdown code, we will outline the key differences between EventBus and RxJS.

  1. Architecture: EventBus is based on the publish-subscribe pattern where components can publish events and other components can subscribe to these events. On the other hand, RxJS is based on the Observable pattern where components can subscribe to observables and receive data emitted by these observables.

  2. Error Handling: In EventBus, error handling is more complex as each event needs to be handled individually. In RxJS, error handling is streamlined using operators like catchError, making it easier to handle errors across multiple observables.

  3. Backpressure Handling: EventBus does not natively support backpressure handling, which can lead to issues like memory leaks if events are produced faster than they can be consumed. RxJS provides built-in support for backpressure handling through operators like buffer and throttle, allowing better control over the flow of data.

  4. Complicated Data Transformations: EventBus is primarily suited for relatively simple event-driven architectures and may not be well-suited for complex data transformations. RxJS, on the other hand, offers a wide range of operators like map, filter, and reduce which make it easier to perform complex data transformations in a concise manner.

  5. Composability: EventBus events are decoupled from each other, making it difficult to compose multiple events or create complex event sequences. RxJS observables, on the other hand, can be easily composed using operators like mergeMap, concatMap, and switchMap, allowing for complex event sequences to be created with ease.

  6. Community and Ecosystem: EventBus implementations may vary significantly between libraries and frameworks, leading to inconsistency and lack of community support. RxJS, being a widely used library, has a strong community and ecosystem with a wealth of resources, documentation, and third-party libraries, making it easier to find solutions and collaborate with other developers.

In Summary, EventBus and RxJS differ in their architecture, error handling, backpressure handling, support for complex data transformations, composability, and community support.

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Detailed Comparison

RxJS
RxJS
EventBus
EventBus

RxJS is a library for reactive programming using Observables, to make it easier to compose asynchronous or callback-based code. This project is a rewrite of Reactive-Extensions/RxJS with better performance, better modularity, better debuggable call stacks, while staying mostly backwards compatible, with some breaking changes that reduce the API surface.

It enables central communication to decoupled classes with just a few lines of code – simplifying the code, removing dependencies, and speeding up app development.

-
Simple yet powerful; Battle tested; High Performance; Convenient Annotation based API; Android main thread delivery
Statistics
GitHub Stars
19.4K
GitHub Stars
24.8K
GitHub Forks
2.1K
GitHub Forks
4.7K
Stacks
4.4K
Stacks
81
Followers
638
Followers
34
Votes
21
Votes
0
Pros & Cons
Pros
  • 6
    Easier async data chaining and combining
  • 3
    Steep learning curve, but offers predictable operations
  • 2
    Ability to build your own stream
  • 2
    Observable subjects
  • 2
    Easier testing
Cons
  • 3
    Steep learning curve
No community feedback yet
Integrations
No integrations available
Git
Git
Docker
Docker
Android Studio
Android Studio
Java
Java
npm
npm

What are some alternatives to RxJS, EventBus?

Apache Maven

Apache Maven

Maven allows a project to build using its project object model (POM) and a set of plugins that are shared by all projects using Maven, providing a uniform build system. Once you familiarize yourself with how one Maven project builds you automatically know how all Maven projects build saving you immense amounts of time when trying to navigate many projects.

Gradle

Gradle

Gradle is a build tool with a focus on build automation and support for multi-language development. If you are building, testing, publishing, and deploying software on any platform, Gradle offers a flexible model that can support the entire development lifecycle from compiling and packaging code to publishing web sites.

Bazel

Bazel

Bazel is a build tool that builds code quickly and reliably. It is used to build the majority of Google's software, and thus it has been designed to handle build problems present in Google's development environment.

Akka

Akka

Akka is a toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM.

Quarkus

Quarkus

It tailors your application for GraalVM and HotSpot. Amazingly fast boot time, incredibly low RSS memory (not just heap size!) offering near instant scale up and high density memory utilization in container orchestration platforms like Kubernetes. We use a technique we call compile time boot.

Orleans

Orleans

Orleans is a framework that provides a straightforward approach to building distributed high-scale computing applications, without the need to learn and apply complex concurrency or other scaling patterns. It was created by Microsoft Research and designed for use in the cloud.

Pants

Pants

Pants is a build system for Java, Scala and Python. It works particularly well for a source code repository that contains many distinct projects.

MyBatis

MyBatis

It is a first class persistence framework with support for custom SQL, stored procedures and advanced mappings. It eliminates almost all of the JDBC code and manual setting of parameters and retrieval of results. It can use simple XML or Annotations for configuration and map primitives, Map interfaces and Java POJOs (Plain Old Java Objects) to database records.

Netty

Netty

Netty is a NIO client server framework which enables quick and easy development of network applications such as protocol servers and clients. It greatly simplifies and streamlines network programming such as TCP and UDP socket server.

JitPack

JitPack

JitPack is an easy to use package repository for Gradle/Sbt and Maven projects. We build GitHub projects on demand and provides ready-to-use packages.

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