lodash vs immutable vs underscore vs ramda
JavaScript Utility Libraries
lodashimmutableunderscoreramdaSimilar Packages:
JavaScript Utility Libraries

JavaScript utility libraries are collections of pre-written functions that help developers perform common tasks more efficiently. These libraries provide tools for manipulating arrays, objects, strings, and other data types, allowing for cleaner and more concise code. They often include functions for tasks like deep cloning, merging, filtering, mapping, and reducing data structures. By using utility libraries, developers can save time, reduce code duplication, and improve the readability and maintainability of their code. Popular utility libraries include Lodash, Underscore.js, and Ramda, each offering a unique set of features and design philosophies.

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lodash51,523,18661,549-1025 years agoMIT
immutable16,277,03033,099709 kB1203 months agoMIT
underscore10,312,29527,388906 kB52a year agoMIT
ramda6,557,07624,1071.2 MB1473 months agoMIT
Feature Comparison: lodash vs immutable vs underscore vs ramda

Immutability

  • lodash:

    Lodash does not provide built-in immutability features, as it is primarily a utility library focused on providing a wide range of functions for manipulating data. However, many of its functions can be used in an immutable manner if the developer ensures that the original data is not modified. For example, functions like _.map, _.filter, and _.reduce return new arrays or objects based on the input data, allowing for immutable transformations when used correctly. Additionally, Lodash encourages best practices for writing functional and non-mutating code, but it does not enforce immutability by default.

  • immutable:

    The immutable library provides persistent data structures that are inherently immutable, meaning that once they are created, they cannot be changed. Instead of modifying the original data, any operation that would normally change the data (such as adding, removing, or updating an element) returns a new version of the data structure with the change applied. This approach helps prevent unintended side effects and makes it easier to reason about how data changes over time. It is particularly useful in applications that rely on functional programming principles or need to manage complex state changes, such as in React or Redux applications.

  • underscore:

    Underscore does not provide built-in support for immutability. Like Lodash, it is a utility library that offers functions for manipulating data, but it does not enforce immutability or provide immutable data structures. Developers can use Underscore's functions in an immutable way by ensuring that they do not modify the original data, but the library itself does not promote or facilitate immutability.

  • ramda:

    Ramda is a functional programming library that emphasizes immutability and pure functions. All of its functions are designed to be non-mutating, meaning they do not change the input data but instead return new data structures with the changes applied. This makes Ramda a great choice for projects that prioritize immutability and functional programming principles. The library also encourages the use of curried and composable functions, which further promotes a declarative and immutable coding style.

Functional Programming Support

  • lodash:

    Lodash provides some support for functional programming, particularly with its higher-order functions, currying, and composition utilities. However, it is not a functional programming library by design. Lodash includes features like _.curry, _.partial, and _.flow that facilitate a more functional style of coding, but it also includes many imperative-style functions. Developers can use Lodash in a functional programming context, but it does not enforce or prioritize functional programming principles.

  • immutable:

    The immutable library supports functional programming by providing persistent data structures that can be used in a non-mutating way. Its API is designed to work well with functional programming paradigms, allowing developers to use higher-order functions, map, filter, and reduce operations without worrying about side effects. The library encourages a functional approach to data manipulation, making it easier to write predictable and testable code.

  • underscore:

    Underscore includes some functional programming features, such as higher-order functions, map, reduce, and filter. However, it is not a functional programming library and does not emphasize FP principles like immutability or currying. Underscore provides a solid foundation for functional programming in JavaScript, but it does not go as far as libraries like Ramda in promoting a functional style.

  • ramda:

    Ramda is designed with functional programming in mind and provides first-class support for FP concepts. It emphasizes immutability, pure functions, and function composition. Ramda's API is built around curried and composable functions, making it easy to create reusable and modular code. The library encourages a declarative coding style and provides utilities that align well with functional programming practices, making it a great choice for FP enthusiasts.

Modularity

  • lodash:

    Lodash is a highly modular utility library that allows developers to import only the functions they need, which helps reduce bundle size and improve performance. Lodash provides a modular build system that enables tree shaking, meaning unused code can be eliminated during the build process. Additionally, Lodash offers individual package distributions for many of its functions, allowing for even more granular imports. This modularity makes Lodash a flexible choice for projects where minimizing bundle size is a priority.

  • immutable:

    The immutable library is not modular in the sense of allowing selective imports of individual functions or components. It is a single package that provides a set of persistent data structures, including List, Map, Set, and Record, all of which are bundled together. However, the library is designed to be efficient, and its data structures are implemented in a way that minimizes memory usage and performance overhead. While you cannot import only a part of the library, you can use its data structures in a modular way within your application, leveraging them as needed without incurring significant overhead.

  • underscore:

    Underscore is not a modular library, and it does not provide a built-in system for selective imports or tree shaking. The entire Underscore library is typically included in a project, which can lead to larger bundle sizes if only a small portion of the library is used. However, Underscore is a lightweight library compared to some others, and its simplicity and ease of use make it a popular choice for projects that need a straightforward utility library without the complexity of modularity.

  • ramda:

    Ramda is not as modular as Lodash, but it does provide some level of modularity. Ramda encourages the use of individual functions and promotes a functional programming style, but it does not have a built-in system for tree shaking or selective imports. However, the library is designed to be used in a way that encourages developers to import only the functions they need, which can help reduce bundle size. Ramda's focus on functional programming and immutability makes it a good choice for projects that value these principles, even if it is not as modular as Lodash.

Ease of Use: Code Examples

  • lodash:

    Lodash library example

    import _ from 'lodash';
    
    const array = [1, 2, 3, 4, 5];
    const doubled = _.map(array, (num) => num * 2);
    
    console.log(doubled); // Output: [2, 4, 6, 8, 10]
    
  • immutable:

    immutable library example

    import { Map } from 'immutable';
    
    const originalMap = Map({ key: 'value' });
    const updatedMap = originalMap.set('key', 'newValue');
    
    console.log(originalMap.get('key')); // Output: value
    console.log(updatedMap.get('key')); // Output: newValue
    
  • underscore:

    Underscore library example

    import _ from 'underscore';
    
    const array = [1, 2, 3, 4, 5];
    const doubled = _.map(array, (num) => num * 2);
    
    console.log(doubled); // Output: [2, 4, 6, 8, 10]
    
  • ramda:

    Ramda library example

    import { map, multiply } from 'ramda';
    
    const array = [1, 2, 3, 4, 5];
    const doubled = map(multiply(2), array);
    
    console.log(doubled); // Output: [2, 4, 6, 8, 10]
    
How to Choose: lodash vs immutable vs underscore vs ramda
  • lodash:

    Choose lodash if you need a comprehensive utility library that provides a wide range of functions for manipulating arrays, objects, and strings. It is especially useful for projects that require performance optimization, as Lodash includes many functions that are more efficient than their native counterparts. Additionally, Lodash allows for modular imports, enabling you to include only the functions you need, which can help reduce bundle size.

  • immutable:

    Choose immutable if you need to work with persistent data structures that guarantee immutability, which helps prevent unintended side effects and makes your code more predictable. This is particularly useful in applications that rely on functional programming principles or require a high level of state management, such as React applications.

  • underscore:

    Choose underscore if you need a lightweight utility library that provides essential functions for working with arrays, objects, and functions. It is a good choice for projects that require a simple and straightforward library without the overhead of additional features. While it lacks some of the performance optimizations and modularity of Lodash, Underscore is still a reliable choice for basic utility functions.

  • ramda:

    Choose ramda if you prefer a functional programming approach and need a library that emphasizes immutability and pure functions. Ramda is designed to be curried and composable, making it easy to create reusable and highly modular code. It is ideal for projects that prioritize functional programming principles and require a library that encourages a more declarative coding style.

README for lodash

lodash v4.17.21

The Lodash library exported as Node.js modules.

Installation

Using npm:

$ npm i -g npm
$ npm i --save lodash

In Node.js:

// Load the full build.
var _ = require('lodash');
// Load the core build.
var _ = require('lodash/core');
// Load the FP build for immutable auto-curried iteratee-first data-last methods.
var fp = require('lodash/fp');

// Load method categories.
var array = require('lodash/array');
var object = require('lodash/fp/object');

// Cherry-pick methods for smaller browserify/rollup/webpack bundles.
var at = require('lodash/at');
var curryN = require('lodash/fp/curryN');

See the package source for more details.

Note:
Install n_ for Lodash use in the Node.js < 6 REPL.

Support

Tested in Chrome 74-75, Firefox 66-67, IE 11, Edge 18, Safari 11-12, & Node.js 8-12.
Automated browser & CI test runs are available.