Benchmark: Map (Native vs Rambda vs Lodash)

HTML Preparation code:

<script src="//cdnjs.cloudflare.com/ajax/libs/rambda/1.1.1/webVersion.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);

Tests:

Rambda
R.map(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
Rambda
Array (native)
Lodash

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark JSON and explain what's being tested.

**Benchmark Definition**

The benchmark measures the speed of three different approaches to create a new array by mapping an existing one:

1. **Rambda**: Uses the Rambda library, which is a functional programming utility belt for JavaScript.
2. **Array (native)**: Uses the native `map()` method on arrays in JavaScript.
3. **Lodash**: Uses the `_map()` function from the Lodash library.

**Script Preparation Code**

The preparation code defines a simple transformation function `double(n)` that doubles its input, and creates an array `data` with 20 elements using the `Array.prototype.map()` method.

**Html Preparation Code**

The HTML code includes two external script tags:

1. One for Rambda (version 1.1.1)
2. One for Lodash (version 4.17.5)

These libraries provide the necessary functions to be tested in the benchmark.

**Individual Test Cases**

Each test case defines a single benchmark using one of the three approaches: Rambda, Array (native), or Lodash. The test cases are:

1. `R.map(double, data);`: Tests the performance of Rambda's `map()` function.
2. `data.map(double);`: Tests the performance of the native `map()` method on arrays in JavaScript.
3. `_.map(data, double);`: Tests the performance of Lodash's `_map()` function.

**Benchmark Result**

The benchmark result includes three rows, each representing a test case:

1. **Rambda**: The Safari 15 browser was used to execute the Rambda test, and it completed approximately 5608992 executions per second.
2. **Array (native)**: The same browser was used for this test, and it completed approximately 5537330 executions per second, which is slightly slower than Rambda.
3. **Lodash**: This test also uses the same browser, but with Lodash, it completed around 5502476 executions per second.

**Options Compared**

The three options compared in this benchmark are:

1. Rambda's `map()` function
2. The native `map()` method on arrays in JavaScript
3. Lodash's `_map()` function

**Pros and Cons of Each Approach**

Here are some general pros and cons of each approach:

* **Rambda**: Pros: provides a consistent, predictable way to map over data; may be optimized for performance. Cons: requires importing an additional library.
* **Array (native)**: Pros: no additional libraries needed; widely supported in modern browsers. Cons: can be slower due to the overhead of creating a new array and iterating over it.
* **Lodash**: Pros: provides a well-tested, high-performance mapping function; may be optimized for performance. Cons: requires importing an additional library.

**Other Alternatives**

If you're looking for alternative libraries or approaches for mapping over data in JavaScript, some options include:

1. **Lo-Dash**: A lightweight alternative to Lodash.
2. **Array.prototype.reduce()`: Can be used to map over arrays by reducing them to a single value.
3. **For...of loops`: Can be used to iterate over arrays and perform transformations.

Keep in mind that each of these alternatives has its own trade-offs, and the best choice depends on your specific use case and performance requirements.

Related benchmarks:

Map (Native vs Rambda vs Lodash) (version: 1)

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

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

Created: 8 years ago by: Registered User

Jump to the latest result

Rambda

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):