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  4. Javascript Utilities And Libraries
  5. Ramda vs Underscore

Ramda vs Underscore

OverviewDecisionsComparisonAlternatives

Overview

Underscore
Underscore
Stacks1.9K
Followers589
Votes290
GitHub Stars27.4K
Forks5.5K
Ramda
Ramda
Stacks492
Followers83
Votes3
GitHub Stars24.1K
Forks1.4K

Ramda vs Underscore: What are the differences?

## Introduction
This Markdown code presents the key differences between Ramda and Underscore, two popular JavaScript libraries commonly used in functional programming.

1. **Functional Programming Paradigm**: Ramda is designed purely for functional programming, emphasizing immutability and side-effect-free functions, while Underscore offers a mix of functional programming utilities along with object-oriented programming support.

2. **Automatic Data-last Method Signatures**: Ramda follows the functional programming convention of keeping the data parameter last in its method signatures, whereas Underscore adheres to traditional JavaScript conventions with data as the first parameter.

3. **Automatic Currying of Functions**: Ramda functions are automatically curried by default, allowing for easier partial application, while Underscore functions are not natively curried, requiring explicit calls to curry functions.

4. **Chaining vs Composition**: Underscore provides chaining methods for easier method sequencing, while Ramda emphasizes function composition as a primary approach for creating complex functions by combining simpler ones.

5. **Separate Utility Functions vs Methods on the Prototype**: Underscore adds utility functions directly to the `\_` global object, requiring them to be invoked with `_.`, while Ramda requires importing functions individually or as a whole for use, ensuring a cleaner namespace.

6. **Dynamic vs Static Typing**: Ramda is designed with type signatures for its functions, making it more suitable for statically typed languages and enhancing development with strong type support, whereas Underscore lacks this feature and is more dynamic in nature.

In Summary, the key differences between Ramda and Underscore lie in their functional programming paradigms, method signatures, currying, function composition, utility function accessibility, and type system integration.

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Advice on Underscore, Ramda

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.

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Detailed Comparison

Underscore
Underscore
Ramda
Ramda

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

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.

Statistics
GitHub Stars
27.4K
GitHub Stars
24.1K
GitHub Forks
5.5K
GitHub Forks
1.4K
Stacks
1.9K
Stacks
492
Followers
589
Followers
83
Votes
290
Votes
3
Pros & Cons
Pros
  • 85
    Utility
  • 55
    Simple
  • 40
    Functional programming
  • 32
    Fast
  • 28
    Open source
Pros
  • 2
    Automatically curried
  • 1
    Point free programming

What are some alternatives to Underscore, Ramda?

Deno

Deno

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

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.

Lodash

Lodash

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

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.

Luxon

Luxon

It is a library that makes it easier to work with dates and times in Javascript. If you want, add and subtract them, format and parse them, ask them hard questions, and so on, it provides a much easier and comprehensive interface than the native types it wraps.

Prepack

Prepack

Prepack is a partial evaluator for JavaScript. Prepack rewrites a JavaScript bundle, resulting in JavaScript code that executes more efficiently. For initialization-heavy code, Prepack works best in an environment where JavaScript parsing is effectively cached.

Blockly

Blockly

It is a client-side library for the programming language JavaScript for creating block-based visual programming languages and editors. It is a project of Google and is free and open-source software.

Cesium

Cesium

it is used to create the leading web-based globe and map for visualizing dynamic data. We strive for the best possible performance, precision, visual quality, ease of use, platform support, and content.

Factor

Factor

It is an extension-focused and universal Vue.js platform for professional front-end developers. It will help you launch apps that impress and astonish your clients and colleagues. No more re-inventing the wheel, or rewriting and refactoring where it's unneeded.

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