Benchmark: Lodash Filter vs. Remove (remove/filter)

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.21/lodash.min.js"></script>

Script Preparation code:

const limit = 10000000;
var array = [];

for (let i = 0; i < limit; i++) {
  array.push(i);
}

function getRandomIndex() {
  return Math.floor(Math.random() * array.length)
}

var element = array[getRandomIndex()];

Tests:

Filter
_.filter(array, x => x === element);
Remove
_.remove(array, x => x === element);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Filter
Remove

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

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

LLMs can make mistakes. Check important info.

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

**What is being tested?**

The provided JSON represents a JavaScript microbenchmark that compares the performance of two methods: Lodash `filter` and `remove`. The benchmark creates an array with 10 million elements, each with a unique value. A random index is generated to select an element from the array, which serves as the target value for filtering or removing.

**Options being compared**

The two options being compared are:

1. **Lodash Filter (`_.filter(array, x => x === element)`): This method creates a new array containing only the elements that pass the test implemented by the provided function (in this case, `x === element`).
2. **Lodash Remove (`_.remove(array, x => x === element)`): This method removes all occurrences of the specified value from the array.

**Pros and Cons**

* **Lodash Filter:**
	+ Pros:
		- Creates a new array with filtered elements, which can be beneficial for maintaining the original array's integrity.
		- Can be more predictable in terms of performance, as it only iterates over the entire array once.
	+ Cons:
		- Requires additional memory to store the new filtered array.
		- May not be suitable for real-time filtering applications where the original data is too large to fit in memory.
* **Lodash Remove:**
	+ Pros:
		- Removes elements from the original array, which can be beneficial for reducing memory usage.
		- Can be more efficient for large datasets, as it only modifies the existing array.
	+ Cons:
		- May modify the original array, which can have unintended side effects.
		- Requires careful consideration of edge cases, such as handling multiple occurrences of the target value.

**Library: Lodash**

Lodash is a popular JavaScript utility library that provides a wide range of functions for common tasks, including array manipulation. In this benchmark, Lodash is used to implement the `filter` and `remove` methods. The specific version of Lodash used in the benchmark is 4.17.21.

**Special JS feature or syntax: None**

There are no special JavaScript features or syntaxes mentioned in the provided JSON.

**Other alternatives**

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

* Vanilla JavaScript:
	+ Using `Array.prototype.filter()` and `Array.prototype.indexOf()`.
	+ Using `Array.prototype.reduce()` to create a new array with filtered elements.
* Other libraries or frameworks:
	+ ArrayUtils (e.g., jQuery's `filter()` method).
	+ Ramda (a functional programming library that provides a range of utility functions, including filtering).

Keep in mind that the choice of implementation ultimately depends on your specific use case and performance requirements.

Related benchmarks:

Lodash Filter vs. Remove (remove/filter) (version: 0)

Comparing performance of: Lodash Filter vs Remove

Comparing performance of: Filter vs Remove

Created: 3 years ago by: Guest

Jump to the latest result

Filter

Remove

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):