Benchmark: Lodash Uniq vs Javascript Set (lower iterations)

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.5/lodash.min.js"></script>

Script Preparation code:

var firstEqual = [];
var secondEqual = [];

for (var i=0; i<=100000; i++) {
  firstEqual.push(i);
  secondEqual.push(i);
}

var arrayToDedup = [...firstEqual, ...secondEqual];

Tests:

Lodash Uniq
_.uniq(arrayToDedup);
Javascript Set
[...new Set(arrayToDedup)]

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lodash Uniq
Javascript Set

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 provided benchmark definition and test cases.

**Benchmark Overview**

The goal of this benchmark is to compare the performance of two approaches for removing duplicates from an array: using Lodash's `uniq` function and using JavaScript's built-in `Set` data structure.

**Script Preparation Code**

The script preparation code creates two identical arrays, `firstEqual` and `secondEqual`, with 100,000 elements each. The purpose of this is to ensure that both the `uniq` function and the `Set` data structure are working with a consistent input set.

**Html Preparation Code**

The HTML preparation code includes a reference to Lodash's version 4.17.5 library, which provides the `uniq` function used in one of the test cases.

**Test Cases**

There are two individual test cases:

1. **Lodash Uniq**: This test case measures the performance of the `uniq` function from Lodash, passing in the `arrayToDedup` array as input.
2. **Javascript Set**: This test case measures the performance of creating a new set from the `arrayToDedup` array using JavaScript's built-in `Set` data structure.

**Performance Comparison**

The benchmark compares the execution speed of both approaches on Firefox 94, running on a Mac OS X 10.15 desktop platform. The results show that:

* Lodash Uniq: approximately 88 executions per second
* Javascript Set: approximately 82 executions per second

This suggests that JavaScript's built-in `Set` data structure is slightly faster than Lodash's `uniq` function for this specific use case.

**Pros and Cons**

**Lodash Uniq**

Pros:

* Convenience: Lodash provides a concise and readable way to remove duplicates from an array.
* Extensive testing: Lodash has undergone extensive testing, which can provide confidence in its performance.

Cons:

* Overhead: Using a library like Lodash may introduce additional overhead due to the need for function calls and memory allocation.

**Javascript Set**

Pros:

* Lightweight: JavaScript's built-in `Set` data structure is a lightweight and efficient way to remove duplicates from an array.
* Native implementation: The implementation of `Set` is native to JavaScript, which can result in better performance than a library-based approach.

Cons:

* Steeper learning curve: JavaScript developers may need to familiarize themselves with the `Set` API and its nuances.

**Other Considerations**

* **Scalability**: As the size of the input array increases, the performance difference between these two approaches may become less significant.
* **Memory usage**: Lodash's `uniq` function may use more memory than JavaScript's built-in `Set` data structure, especially for large input arrays.

**Alternatives**

If you're looking for alternative ways to remove duplicates from an array, consider:

* Using a library like Moment.js for date manipulation and deduplication.
* Implementing a custom solution using a simple algorithm, such as sorting the array and iterating through it to identify unique elements.

Related benchmarks:

Lodash Uniq vs Javascript Set (lower iterations) (version: 0)

Comparing performance of: Lodash Uniq vs Javascript Set

Created: 7 years ago by: Guest

Jump to the latest result

Lodash Uniq

Javascript Set

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):