Benchmark: Map (Native vs Ramda vs Lodash) indexed

HTML Preparation code:

<script src="//cdnjs.cloudflare.com/ajax/libs/ramda/0.25.0/ramda.min.js"></script>
<script src="//cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js"></script>

Script Preparation code:

function double(n) {
	return n*2;
}
var data = [...Array(20)].map((v, idx) => idx);

var mapIndexed = R.addIndex(R.map);

Tests:

Ramda
mapIndexed(double, data);
Array (native)
data.map(double);
Lodash
_.map(data, double);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Ramda
Array (native)
Lodash

Fastest: N/A

Slowest: N/A

Latest run results:

No previous 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 its components.

**Benchmark Overview**

The benchmark is designed to measure the performance of three different approaches for mapping over an array: Ramda, Array's native map function, and Lodash's map function.

**Script Preparation Code**

The script preparation code defines a simple function `double` that takes a number as input and returns its double value. An array `data` is created using `[...Array(20)].map((v, idx) => idx);`, which generates an array of numbers from 0 to 19.

**Html Preparation Code**

The HTML preparation code includes two external libraries: Ramda and Lodash. These libraries are used for the benchmarking test cases.

**Individual Test Cases**

There are three test cases:

1. **Ramda**: The first test case uses Ramda's `mapIndexed` function to apply the `double` function to each element in the array, while preserving its index.
2. **Array (native)**: The second test case uses JavaScript's native `map` function to apply the `double` function to each element in the array.
3. **Lodash**: The third test case uses Lodash's `map` function to apply the `double` function to each element in the array.

**Library Descriptions**

* **Ramda**: Ramda is a functional programming library for JavaScript that provides a set of higher-order functions and data structures for working with arrays, objects, and other data types.
	+ Purpose: Provides a concise and expressive way to work with data using functional programming principles.
* **Lodash**: Lodash is a utility library for JavaScript that provides a comprehensive set of functions for working with arrays, objects, and other data types.
	+ Purpose: Provides a wide range of useful functions for common tasks such as array manipulation, object manipulation, and more.

**Special JS Feature/Syntax**

The benchmark uses the `mapIndexed` function from Ramda, which is a higher-order function that applies a given function to each element in an array while preserving its index. This feature allows for concise and expressive way of mapping over arrays with additional context.

**Other Alternatives**

If Ramda or Lodash were not used, alternative approaches could be:

* Using vanilla JavaScript's `forEach` method instead of `map`
* Implementing a custom loop to iterate over the array
* Using a library like jQuery or React to manipulate the DOM

However, using built-in functions like `map` and libraries like Ramda and Lodash are generally more efficient and expressive ways to work with data in JavaScript.

Related benchmarks:

Map (Native vs Ramda vs Lodash) indexed (version: 0)

measures the speed of ramda's map vs Array's native map vs lodash map

Comparing performance of: Ramda vs Array (native) vs Lodash

Created: 7 years ago by: Guest

Jump to the latest result

Ramda

Array (native)

Lodash

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):