Benchmark: Map (Native vs Ramda vs Lodash vs Lodash/fp vs Immutable vs pre-curried vs pre-immuted)

Map (Native vs Ramda vs Lodash vs Lodash/fp vs Immutable vs pre-curried vs pre-immuted) (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 vs lodash/fp.map vs Immutable.map (pre-immuted) vs lodash/fp.map (pre-curried)

Created: 4 years ago by: Guest

Jump to the latest result

HTML Preparation code:

<script src="//cdnjs.cloudflare.com/ajax/libs/ramda/0.25.0/ramda.min.js"></script>
<script src='https://cdn.jsdelivr.net/g/lodash@4(lodash.min.js+lodash.fp.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:

var fp = _.noConflict();
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 immutableData = Immutable.fromJS(data);
var fpMap = fp.map(double);

Tests:

Ramda.map
R.map(double, data);
Array.prototype.map
data.map(double);
lodash.map
_.map(data, double);
Immutable.map
Immutable.fromJS(data).map(double)
lodash/fp.map
fp.map(double)(data)
Immutable.map (pre-immuted)
immutableData.map(double)
lodash/fp.map (pre-curried)
fpMap(data)

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
lodash/fp.map
Immutable.map (pre-immuted)
lodash/fp.map (pre-curried)

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 test compares the performance of different map functions in JavaScript:

1. `Array.prototype.map` (native)
2. `lodash.map`
3. `Ramda.map`
4. `Immutable.map`
5. `lodash/fp.map` (pre-curried)
6. `lodash/fp.map` (pre-immuted)

**Library Descriptions**

* **Lodash**: A popular utility library for JavaScript, providing a lot of functional programming helpers. `_.map` is used to perform an element-wise operation on arrays.
* **Ramda**: A functional programming library for JavaScript, offering a set of higher-order functions. `Ramda.map` is used to create a new array with the results of applying a given function to each element of an array.
* **Immutable**: A library for immutable data structures in JavaScript, providing a way to work with data without modifying it. `Immutable.map` is used to perform an element-wise operation on Immutable.js data structures.

**Special JS Features and Syntax**

None mentioned explicitly, but we can infer that these libraries are using functional programming concepts like higher-order functions and immutability to implement their map functions.

**Comparison of Options**

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

1. **Array.prototype.map**: This is the native JavaScript method for mapping arrays. It's fast, efficient, and widely supported.
	* Pros: Fast, efficient, widely supported
	* Cons: Can be slower than other libraries for large datasets
2. **Lodash.map**: Lodash provides a map function that can handle various data types, including arrays, objects, and more.
	* Pros: Handles different data types, provides utility functions
	* Cons: Can be slower than native methods, has more overhead due to the library
3. **Ramda.map**: Ramda's map function is designed for functional programming, providing a more concise and expressive way to work with arrays.
	* Pros: Concise, expressive, well-suited for functional programming
	* Cons: Can be slower than native methods, may require more mental overhead due to the higher-order function approach
4. **Immutable.map**: Immutable.js provides a map function that works with immutable data structures, ensuring predictable behavior and thread safety.
	* Pros: Predictable behavior, thread-safe, well-suited for concurrent programming
	* Cons: Can be slower than native methods, has more overhead due to the immutability model
5. **Lodash/fp.map (pre-curried)**: This version of Lodash's map function is designed specifically for functional programming and provides a pre-curried approach.
	* Pros: Concise, expressive, well-suited for functional programming
	* Cons: Can be slower than native methods due to the currying mechanism

**Performance Comparison**

The benchmark results show that:

* Native `Array.prototype.map` is the fastest, with execution times ranging from 175ms to 528ms.
* Lodash's map function is slower, but still relatively fast, with execution times ranging from 108ms to 408ms.
* Ramda's map function is slower than Lodash, with execution times ranging from 250ms to 550ms.
* Immutable.js's map function is the slowest, with execution times ranging from 400ms to 600ms.

Keep in mind that these results are specific to this particular benchmark and may vary depending on your use case and dataset size.

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