Benchmark: Ramda mapObjIndexed vs Array.map

HTML Preparation code:

<script src="//cdnjs.cloudflare.com/ajax/libs/ramda/0.25.0/ramda.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];

Tests:

Ramda
R.mapObjIndexed(double, data);
Array (native)
data.map(double);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Ramda
Array (native)

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

**Benchmark Purpose:**

The benchmark compares the performance of two approaches:

1. Using `Array.map` (native JavaScript method)
2. Using Ramda's `R.mapObjIndexed` function

Both functions are designed to apply a transformation function (`double`) to each element of an array (`data`).

**Options Compared:**

* **Native JavaScript (Array.map)**:
	+ Pros:
		- Wide support across modern browsers and environments
		- Simple and intuitive syntax
	+ Cons:
		- May have performance overhead due to browser engine optimizations and caching
		- Can be slower than specialized libraries for certain use cases
* **Ramda (R.mapObjIndexed)**:
	+ Pros:
		- Optimized for performance, especially in Node.js environments
		- Provides additional features like indexed mapping and memoization
	+ Cons:
		- Requires loading an external library ( Ramda.js)
		- May have a steeper learning curve due to its functional programming style

**Library:**

The benchmark uses the Ramda library, which is a popular JavaScript functional programming library. `R.mapObjIndexed` is a specialized function that applies a transformation function to each object in an array, while keeping track of the original index. This can be useful for certain use cases, such as transforming objects in arrays.

**Special JS Features/Syntax:**

The benchmark doesn't explicitly mention any special JavaScript features or syntax. However, it does use functional programming concepts like `map` and `R.mapObjIndexed`, which are widely adopted in the JavaScript community.

**Other Alternatives:**

If you're looking for alternative libraries to Ramda, some popular options include:

* Lodash (a comprehensive utility library with a `map` function)
* Underscore.js (a functional programming library with a `map` function)
* Array.prototype.reduce() (an iterative approach to mapping arrays)

Keep in mind that the choice of library or approach ultimately depends on your specific use case and performance requirements.

Related benchmarks:

Ramda mapObjIndexed vs Array.map (version: 0)

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

Comparing performance of: Ramda vs Array (native)

Created: 2 years ago by: Guest

Jump to the latest result

Ramda

Array (native)

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):