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  1. Stackups
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  5. Lodash vs RxJS

Lodash vs RxJS

OverviewDecisionsComparisonAlternatives

Overview

RxJS
RxJS
Stacks4.4K
Followers638
Votes21
GitHub Stars19.4K
Forks2.1K
Lodash
Lodash
Stacks10.7K
Followers886
Votes3
GitHub Stars61.3K
Forks7.1K

Lodash vs RxJS: What are the differences?

Introduction

Lodash and RxJS are two popular libraries in JavaScript that serve different purposes.

1. Purpose:

Lodash is a utility library that provides a wide range of functions for common programming tasks, such as array manipulation, string manipulation, object manipulation, and more. It focuses on providing a consistent and functional programming style. On the other hand, RxJS is a reactive programming library that introduces the concept of observables, which are used to handle asynchronous data streams and perform complex event handling operations.

2. Data Handling:

Lodash primarily deals with static data and provides functions for working with arrays, objects, and strings. It offers methods like map, filter, reduce, and many more to manipulate and transform data. On the other hand, RxJS is designed for handling dynamic and asynchronous data streams, such as user events, HTTP requests, and other asynchronous operations. It provides operators like map, filter, mergeMap, and others to transform and combine these streams.

3. Concurrency Control:

Lodash does not provide built-in support for concurrency control, which means it does not have mechanisms for handling multiple, parallel asynchronous operations. However, it can be used alongside other libraries for such purposes. In contrast, RxJS provides powerful concurrency control mechanisms through operators like merge, concat, forkJoin, and more. These operators allow combining and managing multiple asynchronous operations effectively.

4. Event Handling:

Lodash does not have dedicated features for event handling. It primarily focuses on data manipulation and functional programming concepts. On the other hand, RxJS is built specifically for handling events and asynchronous data streams. It provides operators like debounceTime, throttleTime, bufferTime, and more, which are useful for handling events and managing the flow of data in real-time applications.

5. Reactive Programming:

One of the key differences between Lodash and RxJS is their approach to programming. Lodash follows a more imperative and synchronous programming style, where functions are called explicitly to manipulate data. In contrast, RxJS promotes a functional-reactive programming paradigm, which allows developers to express complex asynchronous operations using a declarative approach. Reactive programming with RxJS involves composing streams of data and applying operators to handle and transform them effectively.

6. Learning Curve:

Lodash is relatively easier to learn and use as it focuses on providing utility functions for common programming tasks. It requires less understanding of reactive programming concepts and observables. On the other hand, RxJS has a steeper learning curve due to its reactive programming paradigm and complex event handling concepts. It requires a deeper understanding of observables, operators, and how to compose and handle asynchronous data streams effectively.

In Summary, Lodash is a utility library for static data manipulation, while RxJS is a reactive programming library for handling dynamic and asynchronous data streams. Lodash focuses on providing utility functions for common programming tasks, while RxJS introduces the concept of observables and provides operators for handling complex event-driven scenarios with concurrency control. Lodash follows an imperative style of programming, while RxJS promotes a functional-reactive style. RxJS has a steeper learning curve compared to Lodash.

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Advice on RxJS, Lodash

Abigail
Abigail

Dec 6, 2019

Decided

Fast Healthcare Interoperability Resources (FHIR) provides standard data objects in JSON format for the healthcare industry. Since JSON objects are hierarchical and tree-like, we had a need to defensively 'pluck' fields from our JSON objects and do lots of mapping. We tried jQuery and Underscore and a few other technologies like FHIRPath; but Lodash has been the most well supported, works in the most contexts, has the cleanest syntax, etc. We particularly like the ES6 version of Lodash, where we can import the method names directly, without resorting to * or _ syntax. We got hooked on the 'get' function to defensively pluck fields from objects without crashing our user interface, and have found countless uses for the other lodash functions throughout our apps. Lodash is great for developing and optimizing algorithms.

38.3k views38.3k
Comments

Detailed Comparison

RxJS
RxJS
Lodash
Lodash

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.

A JavaScript utility library delivering consistency, modularity, performance, & extras. It provides utility functions for common programming tasks using the functional programming paradigm.

Statistics
GitHub Stars
19.4K
GitHub Stars
61.3K
GitHub Forks
2.1K
GitHub Forks
7.1K
Stacks
4.4K
Stacks
10.7K
Followers
638
Followers
886
Votes
21
Votes
3
Pros & Cons
Pros
  • 6
    Easier async data chaining and combining
  • 3
    Steep learning curve, but offers predictable operations
  • 2
    Observable subjects
  • 2
    Easier testing
  • 2
    Works great with any state management implementation
Cons
  • 3
    Steep learning curve
Pros
  • 2
    Better than Underscore
  • 1
    Simple
  • 0
    Better that Underscore
Cons
  • 1
    It reduce the performance
Integrations
No integrations available
JavaScript
JavaScript

What are some alternatives to RxJS, Lodash?

Underscore

Underscore

A JavaScript library that provides a whole mess of useful functional programming helpers without extending any built-in objects.

Deno

Deno

It is a secure runtime for JavaScript and TypeScript built with V8, Rust, and Tokio.

Akka

Akka

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

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.

Chart.js

Chart.js

Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.

Immutable.js

Immutable.js

Immutable provides Persistent Immutable List, Stack, Map, OrderedMap, Set, OrderedSet and Record. They are highly efficient on modern JavaScript VMs by using structural sharing via hash maps tries and vector tries as popularized by Clojure and Scala, minimizing the need to copy or cache data.

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.

Finagle

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.

Ramda

Ramda

It emphasizes a purer functional style. Immutability and side-effect free functions are at the heart of its design philosophy. This can help you get the job done with simple, elegant code.

Vue CLI

Vue CLI

Vue CLI aims to be the standard tooling baseline for the Vue ecosystem. It ensures the various build tools work smoothly together with sensible defaults so you can focus on writing your app instead of spending days wrangling with config.

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