Benchmark: Map (Lodash vs Lodash/fp vs Immutable)

HTML Preparation code:

<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];

Tests:

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)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Array.prototype.map
lodash.map
Immutable.map
lodash/fp.map

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36

Browser/OS: Chrome 120 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
Array.prototype.map	3337256.2 Ops/sec
lodash.map	5812116.5 Ops/sec
Immutable.map	970710.2 Ops/sec
lodash/fp.map	1048172.8 Ops/sec

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

LLMs can make mistakes. Check important info.

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

**Benchmark Overview**

The benchmark compares the performance of three different libraries: Lodash, Lodash/fp (Functional Programming), and Immutable.js, when it comes to mapping over an array using the `map()` function. The test case uses a simple array `data` with 30 elements, where each element is doubled using the `double(n)` function.

**Library Overview**

* **Lodash**: Lodash is a popular utility library for JavaScript that provides a wide range of functions for tasks such as string manipulation, array manipulation, and more. The `map()` function in Lodash takes an array and a callback function, applies the callback to each element, and returns a new array with the results.
* **Lodash/fp (Functional Programming)**: Lodash/fp is a variant of Lodash that focuses on functional programming principles. It provides a different implementation of the `map()` function that follows functional programming best practices. In this benchmark, we're using `fp.map()` to test its performance.
* **Immutable.js**: Immutable.js is a library for working with immutable data structures in JavaScript. The `map()` function in Immutable.js takes an array and a callback function, applies the callback to each element, and returns a new array with the results.

**Options Compared**

The benchmark compares the performance of three different implementations of the `map()` function:

* **Lodash's `map()`**: This is the original implementation of the `map()` function in Lodash.
* **Lodash/fp's `map()`**: This implementation follows functional programming principles and provides a more concise and expressive way to map over arrays.
* **Immutable.js's `map()`**: This implementation uses immutable data structures and provides a thread-safe way to map over arrays.

**Pros and Cons**

Here are some pros and cons of each implementation:

* **Lodash's `map()`**:
	+ Pros: widely supported, easy to use, and well-documented.
	+ Cons: may not be the most efficient or scalable solution, especially for large datasets.
* **Lodash/fp's `map()`**:
	+ Pros: concise and expressive syntax, follows functional programming principles, and provides a more predictable performance profile.
	+ Cons: may require some additional setup and learning curve, especially for those unfamiliar with functional programming concepts.
* **Immutable.js's `map()`**:
	+ Pros: provides a thread-safe way to map over arrays, which can be beneficial in concurrent or multi-threaded environments.
	+ Cons: may have performance overhead due to the use of immutable data structures.

**Other Considerations**

When choosing an implementation for mapping over arrays, consider the following factors:

* **Performance**: If you need to perform this operation frequently, you may want to consider a more optimized solution like Immutable.js's `map()`.
* **Scalability**: If you're working with large datasets, Lodash's `map()` or Lodash/fp's `map()` may be sufficient.
* **Conciseness and readability**: If you value concise and expressive code, Lodash/fp's `map()` may be a good choice.

**Alternative Implementations**

Other alternatives for mapping over arrays include:

* **ES6 Array.prototype.map()**: This is the built-in implementation of the `map()` function in modern browsers and Node.js environments.
* **React or Angular's `map()` functions**: These libraries provide their own implementations of the `map()` function, often optimized for performance and scalability.

In summary, this benchmark compares the performance of three different libraries when it comes to mapping over arrays using the `map()` function. Each library has its pros and cons, and the choice ultimately depends on your specific use case and requirements.

Related benchmarks:

Map (Lodash vs Lodash/fp vs Immutable) (version: 0)

Comparing performance of: Array.prototype.map vs lodash.map vs Immutable.map vs lodash/fp.map

Created: one year ago by: Guest

Jump to the latest result

Array.prototype.map

lodash.map

Immutable.map

lodash/fp.map

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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