Effector vs Redux Observable

Overview

Redux Observable

Stacks105

Followers45

Votes0

Effector

Stacks32

Followers26

Votes23

Effector vs Redux Observable: What are the differences?

Introduction

In this comparison, we will highlight the key differences between Effector and Redux Observable, two popular state management libraries used in JavaScript applications.

Reactive Programming Paradigm: Effector is designed around reactive programming, where changes in the state are propagated through data flows. It follows the principles of reactive programming and provides built-in tools for working with reactive data streams. On the other hand, Redux Observable is based on the concept of reactive programming using RxJS observables. It leverages the power of observables to handle asynchronous actions and provides a unified way to manage side effects.
Ergonomics and Developer Experience: Effector aims to provide a better developer experience with its ergonomic syntax and powerful tooling. It offers a declarative API that allows developers to define the state, actions, and effects in a concise and intuitive manner. Redux Observable, on the other hand, follows a more explicit approach where developers have to define and manage a series of epics (observables) that handle the side effects.
Granularity and Performance Optimization: Effector promotes a fine-grained approach to state management, where individual parts of the state can be independently updated and optimized. It uses a directed acyclic graph (DAG) to track dependencies and automatically updates the affected parts of the state. Redux Observable, on the other hand, operates on a global state object, making it more suitable for applications with simpler state logic.
Testing and Debugging: Effector provides extensive tools for testing and debugging, including a built-in devtools extension. It enables time-travel debugging and allows developers to inspect the state and track changes over time. Redux Observable also supports testing and debugging but may require additional setup and configuration.
Community and Ecosystem: Redux Observable has a larger community and a more mature ecosystem compared to Effector. It has been widely adopted and has a rich set of community-contributed libraries and extensions. Effector, on the other hand, is gaining popularity but has a smaller community and a relatively smaller ecosystem.
Learning Curve: Effector has a steeper learning curve compared to Redux Observable. It introduces new concepts and a different approach to state management, which can be challenging for developers who are not familiar with reactive programming. Redux Observable, on the other hand, follows a more traditional approach and is easier to grasp for developers already familiar with Redux and RxJS.

In summary, Effector and Redux Observable differ in their programming paradigms, ergonomics, granularity, testing/debugging capabilities, community/ecosystem support, and learning curve.

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CLI (Node.js)

Manual

Detailed Comparison

Redux Observable	Effector
It allows developers to dispatch a function that returns an observable, promise or iterable of action(s). Compose and cancel async actions to create side effects and more.	It is an effective multi-store state manager for Javascript apps, that allows you to manage data in complex applications.
Redux async actions;Rest requests with Redux;ReactiveX standards	Type safe; Framework agnostic; Developer-friendly; Maximum performance; Tiny bundle size; Plain javascript
Statistics
Stacks 105	Stacks 32
Followers 45	Followers 26
Votes 0	Votes 23
Pros & Cons
No community feedback yet	Pros 8 Statically typed 7 Less boilerplate 4 Small bundle size 2 Effects calculation 2 Signal functions Cons 2 Undocumented methods like setState 1 Lack of debugging tools
Integrations
No integrations available	TypeScript JavaScript Flow (JS)

What are some alternatives to Redux Observable, Effector?

Redux

It helps you write applications that behave consistently, run in different environments (client, server, and native), and are easy to test. t provides a great experience, such as live code editing combined with a time traveling debugger.

MobX

MobX is a battle tested library that makes state management simple and scalable by transparently applying functional reactive programming (TFRP). React and MobX together are a powerful combination. React renders the application state by providing mechanisms to translate it into a tree of renderable components. MobX provides the mechanism to store and update the application state that React then uses.

Akka

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

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.

Zustand

Small, fast and scaleable bearbones state-management solution. Has a comfy api based on hooks, that isn't boilerplatey or opinionated, but still just enough to be explicit and flux-like.

RxJS

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.

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.

Finagle

Finagle is an extensible RPC system for the JVM, used to construct high-concurrency servers. Finagle implements uniform client and server APIs for several protocols, and is designed for high performance and concurrency.

redux-saga

An alternative side effect model for Redux apps

vuex

Vuex is a state management pattern + library for Vue.js applications. It serves as a centralized store for all the components in an application, with rules ensuring that the state can only be mutated in a predictable fashion. It also integrates with Vue's official devtools extension to provide advanced features such as zero-config time-travel debugging and state snapshot export / import.

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Effector vs Redux Observable: What are the differences?

Introduction

In this comparison, we will highlight the key differences between Effector and Redux Observable, two popular state management libraries used in JavaScript applications.

Reactive Programming Paradigm: Effector is designed around reactive programming, where changes in the state are propagated through data flows. It follows the principles of reactive programming and provides built-in tools for working with reactive data streams. On the other hand, Redux Observable is based on the concept of reactive programming using RxJS observables. It leverages the power of observables to handle asynchronous actions and provides a unified way to manage side effects.
Ergonomics and Developer Experience: Effector aims to provide a better developer experience with its ergonomic syntax and powerful tooling. It offers a declarative API that allows developers to define the state, actions, and effects in a concise and intuitive manner. Redux Observable, on the other hand, follows a more explicit approach where developers have to define and manage a series of epics (observables) that handle the side effects.
Granularity and Performance Optimization: Effector promotes a fine-grained approach to state management, where individual parts of the state can be independently updated and optimized. It uses a directed acyclic graph (DAG) to track dependencies and automatically updates the affected parts of the state. Redux Observable, on the other hand, operates on a global state object, making it more suitable for applications with simpler state logic.
Testing and Debugging: Effector provides extensive tools for testing and debugging, including a built-in devtools extension. It enables time-travel debugging and allows developers to inspect the state and track changes over time. Redux Observable also supports testing and debugging but may require additional setup and configuration.
Community and Ecosystem: Redux Observable has a larger community and a more mature ecosystem compared to Effector. It has been widely adopted and has a rich set of community-contributed libraries and extensions. Effector, on the other hand, is gaining popularity but has a smaller community and a relatively smaller ecosystem.
Learning Curve: Effector has a steeper learning curve compared to Redux Observable. It introduces new concepts and a different approach to state management, which can be challenging for developers who are not familiar with reactive programming. Redux Observable, on the other hand, follows a more traditional approach and is easier to grasp for developers already familiar with Redux and RxJS.

In summary, Effector and Redux Observable differ in their programming paradigms, ergonomics, granularity, testing/debugging capabilities, community/ecosystem support, and learning curve.