Benchmark: Array find vs lodash _.find

HTML Preparation code:

<script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.11/lodash.core.js"></script>

Script Preparation code:

var users = [
  { 'user': 'joey',  'age': 32 },
  { 'user': 'ross',    'age': 41 },
  { 'user': 'chandler', 'age': 39 }
]

Tests:

_.find
_.find(users, function (o) { return o.age < 40; })
array find
users.find(function (o) { return o.age < 40; })

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
_.find
array find

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 4 months ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36

Browser/OS: Chrome 143 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
_.find	104431128.0 Ops/sec
array find	182021120.0 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

LLMs can make mistakes. Check important info.

I'll break down the test cases and provide an explanation for each.

**Overview**

The provided benchmark is comparing the performance of two methods: `array.find()` ( native JavaScript method) and `_._find` (a method from the Lodash library). Both methods are used to find the first element in an array that satisfies a given condition.

**Options compared**

Two options are being compared:

1. **Native JavaScript: `users.find(function (o) { return o.age < 40; })`**
	* Pros:
		+ Native code, optimized for performance.
		+ No additional dependencies required.
	* Cons:
		+ May not be as concise or expressive as other libraries.
		+ Can be slower due to the overhead of JavaScript's call stack and execution context switching.
2. **Lodash library: `_.find(users, function (o) { return o.age < 40; })`**
	* Pros:
		+ More concise and expressive syntax.
		+ Often faster than native code due to Lodash's optimized implementations.
		+ Can provide additional utility functions for array manipulation.
	* Cons:
		+ Requires an additional dependency (the Lodash library).
		+ May introduce overhead due to the need to import and initialize the library.

**Library: Lodash**

Lodash is a popular JavaScript utility library that provides a wide range of functions for array manipulation, object manipulation, and other data transformations. The `_._find` method is part of Lodash's "More Utils" module, which provides additional functions beyond the core utility functions. In this case, `_.find` is used to find the first element in an array that satisfies a given condition.

**Other considerations**

* **Native JavaScript performance**: While native code can be optimized for performance, it may not always be the fastest option due to the overhead of JavaScript's call stack and execution context switching.
* **Library dependencies**: Using external libraries like Lodash can introduce additional dependencies and potential issues with version compatibility or installation.

**Alternatives**

If you don't want to use Lodash, you could consider using other libraries that provide similar functionality, such as:

1. **Underscore.js**: Another popular JavaScript utility library that provides a wide range of functions for array manipulation and object manipulation.
2. **Ramda**: A functional programming library that provides a different set of functions for working with arrays and objects.
3. **ES6's `find()` method**: If you're using a modern JavaScript environment, you can use the built-in `find()` method on arrays to achieve similar results.

Keep in mind that each alternative has its own pros and cons, and may require changes to your code or dependencies.

Related benchmarks:

Array find vs lodash _.find (version: 0)

Comparing performance of: array find vs _.find

Comparing performance of: _.find vs array find

Created: 5 years ago by: Guest

Jump to the latest result

_.find

array find

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):