Benchmark: Lodash chunk vs JS

HTML Preparation code:

<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>

Script Preparation code:

var arr = Array.from({
    length: 100000
}, () => Math.random())

Tests:

Lodash
const groups = _.chunk(arr,5000)
JS
var i,j, temporary, chunk = 10; const groups = []; for (i = 0,j = arr.length; i < j; i += chunk) { groups.push(arr.slice(i, i + chunk)); // do whatever }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lodash
JS

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.

I'll break down the provided benchmark definition, test cases, and latest benchmark results to help explain what's being tested.

**Benchmark Definition**

The benchmark is comparing two approaches: Lodash's `chunk` function and a custom implementation of chunking in JavaScript.

**What are we testing?**

We're testing how efficient each approach is for dividing an array into smaller chunks of a specified size. In this case, the array has 100,000 elements, and we want to divide it into chunks of 5,000 elements each.

**Options being compared:**

1. **Lodash's `chunk` function**: This is a pre-built utility function from the Lodash library that divides an array into smaller arrays of a specified size.
2. **Custom JavaScript implementation**: The custom implementation is written by hand using a simple loop to iterate over the array and slice it into chunks.

**Pros and Cons:**

1. **Lodash's `chunk` function**:
	* Pros:
		+ Efficient, as it uses optimized C++ code under the hood.
		+ Easy to use, as it's just one line of code.
	* Cons:
		+ Adds a small overhead due to the need to include an external library.
2. **Custom JavaScript implementation**:
	* Pros:
		+ No added library dependency, which can be beneficial for smaller projects or those with strict dependencies.
	* Cons:
		+ More code to write and maintain, as it requires a basic understanding of loops and array manipulation.
		+ Might not be as efficient due to the overhead of repeated function calls and loop iterations.

**Library:**

The Lodash library is a popular JavaScript utility library that provides a wide range of functions for tasks like array manipulation, string manipulation, and more. In this case, we're using `lodash.js` (version 4.17.5) as our external dependency.

**Special JS feature or syntax:**

There doesn't seem to be any special JavaScript features or syntax being tested in these benchmark cases. The focus is on comparing the performance of different approaches for array chunking.

**Other alternatives:**

If you're interested in exploring alternative libraries or implementations, here are a few options:

* **Array.prototype.slice()**: You can use `arr.slice()` to create a new array containing a subset of elements from the original array.
* **Array.prototype.reduce()**: While not directly applicable for chunking arrays, you could potentially use `reduce()` with an accumulator to build up chunks of data.
* **Other libraries or modules**: Depending on your specific needs, you might explore other libraries like Ramda or Promise library that provide similar functionality.

Keep in mind that these alternatives might not be as efficient or optimized as Lodash's `chunk` function or the custom JavaScript implementation. However, they can serve as interesting alternatives to consider when faced with array chunking tasks.

Related benchmarks:

Lodash chunk vs JS (version: 0)

Comparing performance of: Lodash vs JS

Created: 4 years ago by: Guest

Jump to the latest result

Lodash

JS

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):