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

Autogenerated LLM Summary (model llama3.2:3b, generated one month 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.

Latest run results:

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

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.183 Safari/537.36

Browser/OS: Chrome 86 on Windows

View result in a separate tab

Test name	Executions per second
_.find	1691847.4 Ops/sec
array find	6572563.5 Ops/sec

Related benchmarks:

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

Comparing performance of: array find vs _.find

Comparing performance of: _.find vs array find

Created: 4 years ago by: Guest

Jump to the latest result

_.find

array find

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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