Benchmark: Map (Native vs Ramda vs Lodash)

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;
}
function add4(n) {
  return n + 4;
}
var data = [...Array(20)].map((v, idx) => idx);

Tests:

Ramda
R.map(R.compose(double, add4), stuff);
Array (native)
data.map(double).map(add4);
Lodash
_(data).map(double).map(add4);

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 llama3.1:latest, generated one year ago):

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Let's dive into the world of JavaScript microbenchmarks.

**Benchmark Definition**

The benchmark definition is a JSON object that describes the test case. In this example, we have three test cases: "Ramda", "Array (native)", and "Lodash". The benchmark measures the speed of three different approaches to mapping over an array:

1. **Ramda**: uses the `R.map` function from the Ramda library.
2. **Array (native)**: uses the built-in `map` method of JavaScript arrays.
3. **Lodash**: uses the `map` method from the Lodash library.

**Test Cases**

Each test case has a benchmark definition and a test name. Let's examine each one:

1. **Ramda**
	* Benchmark Definition: `R.map(R.compose(double, add4), stuff);`
	* This test case uses the `R.map` function from Ramda to create a new array by applying two functions (`double` and `add4`) in sequence using `R.compose`.
2. **Array (native)**
	* Benchmark Definition: `data.map(double).map(add4);`
	* This test case uses the built-in `map` method of JavaScript arrays to create a new array by applying two functions (`double` and `add4`) sequentially.
3. **Lodash**
	* Benchmark Definition: `_(data).map(double).map(add4);`
	* This test case uses the `map` method from Lodash to create a new array by applying two functions (`double` and `add4`) sequentially.

**Library Explanation**

The benchmark uses three libraries:

1. **Ramda**: a popular functional programming library for JavaScript.
2. **Lodash**: a utility library that provides various helper functions, including an implementation of the `map` method.

**JavaScript Feature/Syntax**

This test case does not use any special JavaScript features or syntax beyond what is already present in modern JavaScript (ECMAScript 5 and later).

**Options Compared**

The benchmark compares three different approaches to mapping over an array:

1. **Ramda**: uses a functional programming approach with `R.map` from the Ramda library.
2. **Array (native)**: uses the built-in `map` method of JavaScript arrays.
3. **Lodash**: uses the `map` method from Lodash.

**Pros and Cons**

Here's a brief summary of the pros and cons of each approach:

1. **Ramda**
	* Pros: functional programming style, concise code.
	* Cons: may be slower due to additional overhead.
2. **Array (native)**
	* Pros: fast and efficient, widely supported.
	* Cons: imperative programming style, may require more code.
3. **Lodash**
	* Pros: provides a familiar API for developers used to `map` from Lodash.
	* Cons: may introduce additional overhead due to library usage.

**Other Alternatives**

Other alternatives for mapping over an array include:

1. **Array.prototype.reduce**: can be used to create a new array by applying a function to each element and accumulating the result.
2. **Array.prototype.forEach**: can be used to iterate over an array, but does not return a new array.
3. **Modern JavaScript features** (e.g., `flatMap`, `reduceRight`): provide additional ways to manipulate arrays in functional programming style.

I hope this explanation helps you understand what's being tested in this benchmark!

Related benchmarks:

Map (Native vs Ramda vs Lodash) (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 llama3.1:latest, generated one year ago):