lodash vs deepmerge vs underscore vs ramda vs object-path vs merge-deep vs deepdash
JavaScript Utility Libraries for Object Manipulation Comparison
1 Year
lodashdeepmergeunderscoreramdaobject-pathmerge-deepdeepdashSimilar Packages:
What's JavaScript Utility Libraries for Object Manipulation?

These libraries provide various utilities for manipulating and working with objects and arrays in JavaScript. They offer functions for deep merging, cloning, and traversing complex data structures, making it easier to handle nested objects and arrays. Each library has its own strengths and use cases, catering to different needs in web development, from simple data manipulation to functional programming paradigms.

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lodash64,807,01260,437-1064 years agoMIT
deepmerge41,881,4292,79231.2 kB552 years agoMIT
underscore13,420,21727,385906 kB529 months agoMIT
ramda10,441,91023,9911.18 MB151a year agoMIT
object-path1,793,8891,064-354 years agoMIT
merge-deep1,216,572111-144 years agoMIT
deepdash94,495279-264 years agoMIT
Feature Comparison: lodash vs deepmerge vs underscore vs ramda vs object-path vs merge-deep vs deepdash

Deep Merging

  • lodash:

    Lodash includes a deep merge function that combines objects recursively, allowing for flexible merging strategies and handling of arrays and objects seamlessly.

  • deepmerge:

    Deepmerge specializes in deep merging of objects, allowing you to combine multiple objects while preserving nested properties. It handles conflicts by providing options for merging strategies.

  • underscore:

    Underscore provides basic merging capabilities but lacks specialized deep merging functions, making it less suitable for complex nested structures.

  • ramda:

    Ramda offers deep merging capabilities through its functional approach, allowing you to compose merging functions that can be reused across your application.

  • object-path:

    Object-path does not directly support merging but allows for easy access and manipulation of nested properties, which can be useful in conjunction with other libraries for merging tasks.

  • merge-deep:

    Merge-deep focuses solely on deep merging, providing a simple interface to combine objects without additional overhead, making it efficient for straightforward use cases.

  • deepdash:

    Deepdash provides deep traversal capabilities, allowing you to navigate and manipulate nested structures easily. It supports functional programming paradigms for merging and transforming data.

Functional Programming Support

  • lodash:

    Lodash supports functional programming with methods like _.curry and _.partial, enabling you to create reusable and composable functions for data manipulation.

  • deepmerge:

    Deepmerge is not focused on functional programming but can be used in a functional style when combined with other libraries that support functional paradigms.

  • underscore:

    Underscore provides some functional programming utilities, but it is not as comprehensive as Lodash or Ramda in this regard.

  • ramda:

    Ramda is built around functional programming principles, providing curried functions and a focus on immutability, making it ideal for functional programming enthusiasts.

  • object-path:

    Object-path is not designed for functional programming but can be used in functional contexts for accessing and manipulating properties.

  • merge-deep:

    Merge-deep does not emphasize functional programming but can be integrated into functional workflows when combined with other libraries.

  • deepdash:

    Deepdash embraces functional programming concepts, allowing you to use higher-order functions and compose operations on nested data structures.

Ease of Use

  • lodash:

    Lodash is known for its intuitive API and extensive documentation, making it easy for developers of all levels to use effectively.

  • deepmerge:

    Deepmerge is straightforward and easy to use, making it accessible for developers who need simple deep merging functionality without complications.

  • underscore:

    Underscore is straightforward and familiar to many developers, especially those who have worked with JavaScript for a while.

  • ramda:

    Ramda's functional programming style may require a shift in thinking for some developers, but its clear documentation helps ease the learning process.

  • object-path:

    Object-path has a simple syntax for accessing nested properties, making it easy to use, especially for those who need to work with complex objects.

  • merge-deep:

    Merge-deep offers a minimalistic API, making it easy to integrate into projects without a steep learning curve.

  • deepdash:

    Deepdash is user-friendly for those familiar with functional programming, but it may have a learning curve for beginners due to its advanced features.

Performance

  • lodash:

    Lodash is highly optimized for performance across a wide range of operations, making it suitable for performance-critical applications.

  • deepmerge:

    Deepmerge is efficient for deep merging operations, but performance can vary depending on the complexity of the objects being merged.

  • underscore:

    Underscore is generally performant for most operations, but it may not be as optimized as Lodash for specific use cases.

  • ramda:

    Ramda is designed with performance in mind, but its functional approach may introduce some overhead in certain scenarios compared to imperative solutions.

  • object-path:

    Object-path is efficient for accessing nested properties, but performance may vary based on the depth and complexity of the object structure.

  • merge-deep:

    Merge-deep is lightweight and performs well for deep merging tasks, especially when compared to larger libraries.

  • deepdash:

    Deepdash is optimized for performance in traversing large nested structures, but its functional nature may introduce some overhead compared to simpler libraries.

Community and Ecosystem

  • lodash:

    Lodash has a large and active community, providing a wealth of resources, plugins, and extensions to enhance its functionality.

  • deepmerge:

    Deepmerge has a niche community focused on merging utilities, and while it may not have extensive resources, it serves its purpose well.

  • underscore:

    Underscore has a long-standing community, especially among older JavaScript projects, but it has seen a decline in usage with the rise of Lodash.

  • ramda:

    Ramda has a dedicated community that embraces functional programming, offering extensive documentation and resources for learning.

  • object-path:

    Object-path has a modest community with useful resources, particularly for those working with nested objects.

  • merge-deep:

    Merge-deep has a smaller community, but it is effective for its specific purpose of deep merging.

  • deepdash:

    Deepdash has a smaller community compared to others, but it is growing and offers useful features for specific use cases.

How to Choose: lodash vs deepmerge vs underscore vs ramda vs object-path vs merge-deep vs deepdash
  • lodash:

    Opt for Lodash if you want a comprehensive utility library that offers a wide range of functions for manipulating arrays, objects, and strings, along with performance optimizations and modularity.

  • deepmerge:

    Select Deepmerge for straightforward deep merging of objects, particularly when you need a simple and effective way to combine multiple objects without worrying about conflicts in properties.

  • underscore:

    Use Underscore if you require a classic utility library that provides a solid foundation of functions for data manipulation, especially if you are working on legacy projects or prefer its syntax.

  • ramda:

    Select Ramda if you prefer a functional programming style, as it provides a rich set of functions that are curried and composable, allowing for elegant and reusable code.

  • object-path:

    Choose Object-path when you need a specialized tool for accessing and manipulating nested object properties using a path-like syntax, making it easy to work with deeply nested structures.

  • merge-deep:

    Use Merge-deep for a lightweight solution focused specifically on deep merging of objects, especially if you prefer a minimalistic approach without additional features that come with larger libraries.

  • deepdash:

    Choose Deepdash if you need to perform deep traversals on nested objects or arrays, especially when you require a functional approach to access and manipulate deeply nested properties.

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.