Benchmark: Lodash unique vs Array.from(new Set)

HTML Preparation code:

<script src='https://cdn.jsdelivr.net/npm/lodash@4.17.10/lodash.min.js'></script>

Tests:

new Set
var l = Array.from(new Set([1, 2, 3, 4, 5, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7])); return l;
uniq
var l = [1, 2, 3, 4, 5, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7]; return _.uniq(l);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
new Set
uniq

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 26 days ago):

LLMs can make mistakes. Check important info.

Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net.

**Overview**

The provided benchmark is designed to compare two approaches for removing duplicates from an array: using the `Array.from(new Set)` method and using Lodash's `uniq` function. The goal is to determine which approach is faster in terms of execution time.

**Options Compared**

There are two options being compared:

1. **Array.from(new Set)**: This approach uses the built-in `Set` object in JavaScript, which automatically removes duplicates from an array. It then converts the set back into an array using `Array.from()`.
2. **Lodash's uniq function**: Lodash is a popular JavaScript library that provides various utility functions, including `uniq`. This function takes an array as input and returns a new array with duplicate elements removed.

**Pros and Cons**

1. **Array.from(new Set)**:
	* Pros: Built-in method, efficient, and straightforward to use.
	* Cons: May not be optimized for performance in certain browsers or environments.
2. **Lodash's uniq function**:
	* Pros: Can be more flexible and customizable than the built-in method.
	* Cons: Requires an additional library (Lodash) to be included, which may add overhead.

**Library Used**

In this benchmark, Lodash is used as a dependency to provide the `uniq` function. Lodash is a popular JavaScript library that provides various utility functions for tasks like string manipulation, data transformation, and more.

**Special JS Feature or Syntax**

There are no special features or syntax used in this benchmark. The code only uses standard JavaScript syntax.

**Other Alternatives**

If you're interested in exploring other approaches to remove duplicates from an array, here are a few alternatives:

1. **Using a custom implementation**: You could write your own function to remove duplicates from an array using techniques like sorting and iterating through the array.
2. **Using another library**: Depending on your specific requirements, you might consider using another library that provides a similar functionality to Lodash's `uniq` function.

**Benchmark Preparation Code**

The benchmark preparation code is empty in this case, which means it doesn't perform any initial setup or teardown before running the benchmark.

**Individual Test Cases**

There are two test cases:

1. **new Set**: This test case creates an array with duplicate elements and then converts it to a set using `Array.from(new Set)`. It then returns the resulting array.
2. **uniq**: This test case creates an array with duplicate elements and passes it to Lodash's `uniq` function, which returns a new array with duplicates removed.

**Latest Benchmark Result**

The latest benchmark result shows that Safari 16 on a Mac OS X 10.15.7 system can execute the `uniq` test case approximately 5.3 times faster than the `new Set` test case, with an execution rate of around 2636222 executions per second.

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/16.1 Safari/605.1.15

Browser/OS: Safari 16 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
new Set	2636222.0 Ops/sec
uniq	8867519.0 Ops/sec

Related benchmarks:

Lodash unique vs Array.from(new Set) (version: 0)

Comparing performance of: new Set vs uniq

Created: one year ago by: Guest

Jump to the latest result

new Set

uniq

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 26 days ago):