Benchmark: Lodash _.forEach vs native forEach on NodeList

HTML Preparation code:

<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>
<div>1</div>
<div>2</div>
<div>3</div>
<div>4</div>
<div>5</div>
<div>6</div>
<div>7</div>
<div>8</div>
<div>9</div>

Script Preparation code:

var els = document.querySelectorAll('div');

Tests:

Lodash
_.forEach(els, (el) => { console.log(el.innerText); });
Native
els.forEach((el) => { console.log(el.innerText); });

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lodash
Native

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.

**What is being tested?**

The benchmark compares two approaches:

1. **Lodash _.forEach**: This uses the `_.forEach` function from the Lodash library, which is a utility library that provides a collection of high-quality, reusable functions for tasks such as functional programming, array manipulation, and more.
2. **Native forEach on NodeList**: This uses the built-in `forEach` method of the `NodeList` interface in JavaScript, which is a part of the DOM API.

**Options compared**

The two options are being tested in the context of iterating over an array-like object (in this case, a `NodeList`) and logging each element's text content to the console. The test aims to determine which approach is faster.

**Pros and Cons of each approach:**

1. **Lodash _.forEach**: Advantages:
	* Provides a consistent and reliable way to iterate over arrays and other iterable objects.
	* Often used in functional programming and is widely supported by many libraries and frameworks.
	Disadvantages:
	* Requires loading an additional library (Lodash).
2. **Native forEach on NodeList**:
Advantages:
	* Built-in functionality, so no additional dependencies are required.
	* Efficient and optimized for performance.
Disadvantages:
	* May have compatibility issues with older browsers or versions of Node.js.
	* Can be less readable and more error-prone if not used correctly.

**Library: Lodash**

Lodash is a popular JavaScript utility library that provides a collection of high-quality, reusable functions for tasks such as functional programming, array manipulation, and more. It aims to provide a consistent and reliable way to perform common tasks, making code more efficient and easier to maintain. In this benchmark, the `_.forEach` function is used to iterate over the `NodeList` and log each element's text content.

**Special JS feature or syntax**

There are no special JavaScript features or syntaxes being tested in this benchmark. The test only involves standard JavaScript functions and built-in functionality.

**Other alternatives**

If you're looking for alternative approaches, here are a few options:

1. **Use the `map` function instead of `forEach`:** You can use the `map` function to achieve similar results, but it will return an array of transformed values instead of modifying the original array. If you need to log each element's text content, using `forEach` might be a better choice.
2. **Use the `reduce` function:** The `reduce` function is another functional programming tool that can be used to iterate over arrays and perform actions on each element.
3. **Use a custom loop:** If you're comfortable with low-level JavaScript coding, you can use a simple `for` loop or `while` loop to iterate over the `NodeList`.

In summary, this benchmark compares two approaches for iterating over an array-like object and logging each element's text content: Lodash's `_forEach` function and the native `forEach` method on `NodeList`. The test aims to determine which approach is faster.

Related benchmarks:

Lodash _.forEach vs native forEach on NodeList (version: 0)

Comparing performance of: Lodash vs Native

Created: 4 years ago by: Guest

Jump to the latest result

Lodash

Native

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):