Benchmark: Javascript Set vs Ramda series

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.5/lodash.min.js"></script>
<script src="//cdnjs.cloudflare.com/ajax/libs/ramda/0.28.0/ramda.min.js"></script>

Script Preparation code:

var firstEqual = [];
var secondEqual = [];

for (var i=0; i<=100000; i++) {
  firstEqual.push([i, i]);
  if (i % 2 === 0) {
  	secondEqual.push([i, i]);
  }
}

var chartSeries = [{ data: firstEqual }, { data: secondEqual }];

Tests:

Javascript Set
const tableCategories = new Set(); chartSeries.forEach(series => { series.data.forEach(data => { tableCategories.add(data[0]); }); }); const result = Array.from(tableCategories).sort();
Ramda Uniq
const result = R.uniq(chartSeries.map(({ data }) => data.map(tuple => tuple[0])).flat()).sort();

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Javascript Set
Ramda Uniq

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.

Let's break down the benchmark and explain what's being tested, compared, and the pros/cons of each approach.

**What's being tested:**

The benchmark is comparing two approaches to process data:

1. **JavaScript Set**: Using built-in JavaScript `Set` data structure to remove duplicates from an array.
2. **Ramda Uniq**: Using Ramda library (a functional programming library for JavaScript) to remove duplicates from an array.

**Options compared:**

The benchmark is comparing the performance of two approaches to achieve the same goal:

1. **JavaScript Set**
	* Pros:
		+ Built-in and widely supported, so no additional dependencies needed.
		+ Easy to understand and use for developers familiar with JavaScript.
	* Cons:
		+ May not be optimized for performance compared to other implementations.
		+ Can have higher memory usage due to the use of a hash table.
2. **Ramda Uniq**
	* Pros:
		+ Optimized for performance and can take advantage of parallel processing.
		+ Provides additional features beyond just removing duplicates (e.g., sorting, filtering).
	* Cons:
		+ Requires an external dependency (the Ramda library), which may not be included in all projects.
		+ May have a steeper learning curve due to the functional programming paradigm.

**Library and its purpose:**

The benchmark uses two libraries:

1. **Lodash**: A utility library that provides various functions for tasks like array manipulation, string handling, and more.
2. **Ramda**: A functional programming library specifically designed for JavaScript, providing a set of immutable data structures and operations.

**Special JS feature or syntax:**

There is no specific JavaScript feature or syntax being tested in this benchmark. Both approaches use standard JavaScript constructs (arrays, sets, loops) to achieve the desired result.

**Other alternatives:**

If you're interested in exploring other options, here are a few additional approaches that could be considered:

1. **D3.js**: A data visualization library that also provides array manipulation functions.
2. **Underscore.js**: Another utility library (similar to Lodash) that provides functional programming features.
3. **Built-in `filter()` and `sort()` methods**: These methods are available on arrays in JavaScript, but may not be as efficient as the Set or Ramda approaches for removing duplicates.

Keep in mind that each of these alternatives would require additional dependencies and potentially different implementation details compared to the benchmark's current approach using JavaScript Set and Ramda.

Related benchmarks:

Javascript Set vs Ramda series (version: 0)

Comparing performance of: Javascript Set vs Ramda Uniq

Created: 3 years ago by: Guest

Jump to the latest result

Javascript Set

Ramda Uniq

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):