Benchmark: Compare prototype.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 = [
  { 'id': 12, name: 'cool' },
  { 'id': 34, name: 'nais' },
  { 'id': 56, name: 'oopa' }
]

Tests:

array find
// Native users.find(({ id }) => { return id === 34 })
lodash find
_.find(users, ({ id }) => { return id === 34 })

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
array find
lodash find

Fastest: N/A

Slowest: N/A

Latest run results:

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

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and explain what is being tested, compared, and their pros/cons.

**Benchmark Overview**

The benchmark compares two approaches to find an element in an array:

1. Native JavaScript `Array.prototype.find()`
2. Lodash `_.find()` function

**Test Cases**

There are two test cases:

1. **Native Array.prototype.find()**
	* Benchmark Definition: `users.find(({ id }) => { return id === 34 })`
	* This test case measures the performance of the native JavaScript `Array.prototype.find()` method.
2. **Lodash _.find()**
	* Benchmark Definition: `_.find(users, ({ id }) => { return id === 34 })`
	* This test case measures the performance of the Lodash `_.find()` function.

**Options Compared**

The benchmark compares two approaches:

1. Native JavaScript `Array.prototype.find()`: This method uses a callback function to iterate over the array and returns the first element that satisfies the condition.
2. Lodash `_.find()`: This is a utility function that wraps the native `Array.prototype.find()` method, providing additional features like support for multiple conditions.

**Pros/Cons**

Here are some pros and cons of each approach:

1. **Native Array.prototype.find():**
	* Pros:
		+ Lightweight and fast.
		+ Supports modern JavaScript syntax.
	* Cons:
		+ Requires a callback function with the element to inspect and the comparison function.
		+ May not work well with complex or nested data structures.
2. **Lodash _.find():**
	* Pros:
		+ Provides a simple and intuitive API for finding elements in arrays.
		+ Supports multiple conditions and can handle more complex data structures.
	* Cons:
		+ Adds an external dependency (Lodash) to the codebase.
		+ May introduce overhead due to the wrapper function.

**Library: Lodash**

Lodash is a popular utility library for JavaScript that provides a wide range of functions for tasks like array manipulation, string manipulation, and more. The `_.find()` function is one of its core functions, which makes it easy to work with arrays in a concise and expressive way.

**Special JS Feature/ Syntax: None**

There are no special JavaScript features or syntax used in this benchmark.

**Alternatives**

If you're interested in exploring alternative approaches, here are some options:

1. **Arrow Functions**: You can use arrow functions instead of traditional callback functions with the `Array.prototype.find()` method.
2. **Promises**: You can use promises to handle asynchronous operations and make your code more readable.
3. **Other Array Methods**: Depending on the specific use case, you might prefer other array methods like `Array.prototype.findIndex()`, `Array.prototype.some()`, or `Array.prototype.every()`.

Keep in mind that each of these alternatives has its own trade-offs and may not offer significant performance improvements over the native `Array.prototype.find()` method.

Related benchmarks:

Compare prototype.find vs lodash/find (version: 0)

Compare the new ES6 spread operator with the traditional concat() method

Comparing performance of: array find vs lodash find

Created: 4 years ago by: Guest

Jump to the latest result

array find

lodash find

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

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