Benchmark: for loop vs. lodash foreach vs. array foreach 2

HTML Preparation code:

<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/2.4.1/lodash.js"></script>

Tests:

for
var x = ['test', 'this', 'the', 'other']; var y = ''; for (var i = 0; i < x.length; i++) { y += '<div>' + x[i] + '</div>'; }
lodash range foreach
var x = ['test', 'this', 'the', 'other']; var y = ''; _.forEach(x, function(v) { y += '<div>' + v + '</div>'; });
array foreach
var x = ['test', 'this', 'the', 'other']; var y = ''; x.forEach(function (v) { y += '<div>' + v + '</div>'; });

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
for
lodash range foreach
array foreach

Fastest: N/A

Slowest: N/A

Latest run results:

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

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Let's break down the benchmark and explain what's being tested.

**Benchmark Overview**

The benchmark compares the performance of three different approaches to iterate over an array:

1. **Traditional For Loop**: A classic loop using a `for` statement to iterate over the array elements.
2. **Lodash `forEach`**: Using the `_.forEach()` method from the Lodash library, which iterates over the array elements and calls a callback function for each element.
3. **Array `forEach` Method**: The native `forEach()` method of JavaScript arrays, which iterates over the array elements and calls a callback function for each element.

**Options Compared**

The benchmark compares these three approaches in terms of performance, specifically:

* **Number of Executions per Second (ExecutionsPerSecond)**: The number of iterations performed by each approach within a second.
* **Browser**: The browser used to run the benchmark, which might affect the execution speed due to various factors like caching, rendering, and engine optimizations.

**Pros and Cons**

Here's a brief summary of the pros and cons of each approach:

1. **Traditional For Loop**:
	* Pros: Easy to understand, well-known, and widely supported.
	* Cons: Can be slower due to overhead from the loop control mechanism.
2. **Lodash `forEach`**:
	* Pros: Abstracts away the iteration logic, making it easier to write concise code.
	* Cons: Introduces an additional dependency (Lodash) and may incur a small performance overhead due to function call overhead.
3. **Array `forEach` Method**:
	* Pros: Native implementation with minimal dependencies, optimized for performance.
	* Cons: May require more memory allocations and cache misses, depending on the browser's optimization techniques.

**Library: Lodash**

Lodash is a popular JavaScript utility library that provides a collection of functional programming helpers. In this benchmark, it's used to provide the `_.forEach()` method, which allows developers to iterate over arrays in a concise way.

**Special JS Feature/Syntax**

None mentioned explicitly in the provided information.

**Other Alternatives**

If you're looking for alternative ways to iterate over arrays, consider:

* **For...of Loop**: A modern iteration technique introduced in ECMAScript 2015 (ES6), which provides a more expressive and concise way to iterate over arrays.
* **Array.prototype.map()`, `Array.prototype.filter()`, or other array methods: While not suitable for simple iteration, these methods can be used to transform or filter arrays.

In summary, the benchmark compares three common approaches to iterate over arrays in JavaScript: traditional for loops, Lodash's `forEach` method, and the native `forEach()` method of JavaScript arrays. The results provide insights into the performance differences between these approaches, which can help developers choose the most suitable solution for their specific use case.

Related benchmarks:

for loop vs. lodash foreach vs. array foreach 2 (version: 0)

Comparing performance of: for vs lodash range foreach vs array foreach

Created: 5 years ago by: Guest

Jump to the latest result

for

lodash range foreach

array foreach

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):