Benchmark: Ramda Uniq Vs Set 2

HTML Preparation code:

<script src="//cdnjs.cloudflare.com/ajax/libs/ramda/0.25.0/ramda.min.js"></script>

Script Preparation code:

var arr = Array.from({length: 40}, () => Math.floor(Math.random() * 40));

Tests:

Ramda
R.uniq(arr)
JS SET
Array.from(new Set(arr))

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Ramda
JS SET

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 25 days ago):

LLMs can make mistakes. Check important info.

I'd be happy to explain the benchmark and its results.

**Benchmark Overview**

The benchmark is testing the performance of two approaches to remove duplicates from an array: Ramda's `R.uniq` function and the built-in JavaScript `Set` object. The test case creates a large array with random integers, measures the execution time of each approach, and compares the results.

**Options Compared**

Two options are compared:

1. **Ramda's `R.uniq`**: This is a functional programming library that provides various functions for manipulating arrays and objects. In this case, it uses a custom implementation to remove duplicates from an array.
2. **JavaScript Set object**: The built-in JavaScript `Set` object can be used to remove duplicates from an array by converting the array to a set and then back to an array.

**Pros and Cons of Each Approach**

1. **Ramda's `R.uniq`**:
	* Pros: Can handle large datasets, provides a more functional programming approach.
	* Cons: May have overhead due to the use of a custom implementation, can be slower than built-in JavaScript options for small datasets.
2. **JavaScript Set object**:
	* Pros: Built-in and optimized for performance, handles small to medium-sized datasets well.
	* Cons: Can become inefficient for very large datasets, requires conversion between array and set.

**Library Used**

In this benchmark, the Ramda library is used for its `R.uniq` function. Ramda provides a range of functional programming tools for manipulating arrays, objects, and other data structures.

**Special JS Feature or Syntax**

There are no special JavaScript features or syntax mentioned in this benchmark. The test simply uses standard JavaScript constructs to create an array and compare the performance of different approaches.

**Other Considerations**

When choosing between these two approaches, consider the size of your dataset and the trade-off between performance and ease of use. If you need to handle very large datasets, Ramda's `R.uniq` might be slower due to its custom implementation. However, if you're working with smaller datasets, the JavaScript Set object is likely a better choice.

**Alternative Options**

Other alternatives for removing duplicates from an array include:

* Lodash's `uniqBy` function
* The `filter()` method in combination with the `includes()` method
* Using the `Map` object to keep track of unique values

These approaches may have varying performance characteristics and trade-offs, so it's worth exploring each option depending on your specific use case.

Latest run results:

Run details: (Test run date: 27 days ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 YaBrowser/24.7.0.0 Safari/537.36

Browser/OS: Yandex Browser 24 on Windows

View result in a separate tab

Test name	Executions per second
Ramda	1088215.0 Ops/sec
JS SET	1339095.8 Ops/sec

Related benchmarks:

Ramda Uniq Vs Set 2 (version: 0)

testing ramda uniq vs set

Comparing performance of: Ramda vs JS SET

Created: one year ago by: Guest

Jump to the latest result

Ramda

JS SET

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 25 days ago):