Benchmark: xotahal - map - MeasureThat.net

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 type='text/javascript' src='https://cdnjs.cloudflare.com/ajax/libs/immutable/3.8.2/immutable.min.js'></script>

Script Preparation code:

function double(n) {
	return n*2;
}
var data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30];

var idata = Immutable.fromJS(data)

Tests:

Ramda.map
R.map(double, data);
Array.prototype.map
data.map(double);
lodash.map
_.map(data, double);
Immutable.map
idata.map(double)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Ramda.map
Array.prototype.map
lodash.map
Immutable.map

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 dive into the world of JavaScript microbenchmarks.

**Benchmark Overview**

The provided JSON represents a benchmark test created using MeasureThat.net, which compares the performance of four different mapping functions: Ramda's `map`, Array's native `map` method, Lodash's `map` function, and Immutable.js's `map` method. The test uses a simple dataset of 30 numbers to measure their execution times.

**Options Compared**

The benchmark tests three options:

1. **Ramda's map**: This is a higher-order function that takes two arguments: the mapping function (in this case, `double`) and the input array (`data`). It applies the mapping function to each element in the array.
2. **Array.prototype.map**: This is a built-in method of JavaScript arrays that applies a given function to each element in the array.
3. **Lodash's map**: This is another higher-order function that takes two arguments: the mapping function (in this case, `double`) and the input array (`data`). It applies the mapping function to each element in the array, similar to Ramda's `map`.
4. **Immutable.js's map**: This method applies a given function to each element in an Immutable.js collection.

**Pros and Cons**

Here are some pros and cons of each approach:

* **Ramda's map**: Pros: concise syntax, flexible mapping functions, good performance. Cons: requires Ramda library, can be slower than native methods for very large datasets.
* **Array.prototype.map**: Pros: built-in, fast, efficient. Cons: limited functionality, can only apply a single function to each element.
* **Lodash's map**: Pros: similar syntax to Ramda's `map`, flexible mapping functions, good performance. Cons: requires Lodash library, can be slower than native methods for very large datasets.
* **Immutable.js's map**: Pros: immutable data structures, predictable behavior, good performance. Cons: requires Immutable.js library, can be slower than native methods for very small datasets.

**Library Usage**

In this benchmark, Ramda and Lodash are used as libraries to provide a more concise syntax for mapping functions. Immutable.js is used to demonstrate the benefits of using immutable data structures.

**Special JavaScript Features/Syntax**

None of the test cases use any special JavaScript features or syntax beyond what's commonly available in modern browsers.

**Alternative Approaches**

If you want to benchmark similar functions without MeasureThat.net, here are some alternatives:

* You can create a simple script that times each function using `console.time` and `console.log`.
* You can use a library like Benchmark.js to create a benchmarking framework.
* You can use an online JavaScript benchmarking tool like jsperf or jsbenchmark.

Related benchmarks:

xotahal - map (version: 0)

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

Comparing performance of: Ramda.map vs Array.prototype.map vs lodash.map vs Immutable.map

Created: 7 years ago by: Guest

Jump to the latest result

Ramda.map

Array.prototype.map

lodash.map

Immutable.map

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):