Benchmark: Array (native) vs Ramda

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:

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

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Array (native)
Ramda

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 dive into the benchmark analysis.

The provided JSON represents a JavaScript microbenchmark that compares the performance of native Array methods with those from the Ramda library.

**Benchmarked Options**

Two options are being compared:

1. **Native Array methods**: This refers to the built-in array manipulation functions in JavaScript, such as `map()`, which is used in the benchmark definition `data.map(double);`.
2. **Ramda's R.map() function**: Ramda is a functional programming library for JavaScript that provides an implementation of `map()` with additional features like type checking and currying.

**Pros and Cons**

Native Array methods are:

* Fast, as they're implemented in the browser's engine.
* Wide support across browsers and platforms.
* Simple to use and understand.

However, they can be platform-dependent (e.g., performance may vary on different architectures or browsers).

Ramda's R.map() function is:

* More expressive and composable than native Array methods.
* Provides additional features like type checking and currying.
* May introduce a small overhead due to the library's functionality.

However, it requires importing the Ramda library, which can add to the benchmark's size and complexity.

**Library: Ramda**

Ramda is a functional programming library for JavaScript that provides an implementation of `map()` among other useful functions. It aims to provide a more expressive and composable way of working with data, while still maintaining performance comparable to native Array methods.

**Special JS Feature/Syntax (None)**

There are no special JavaScript features or syntax used in this benchmark.

**Other Alternatives**

If you need to compare the performance of other array manipulation functions, you could consider adding more benchmark cases, such as:

* Lodash's `map()` function
* Array.prototype.forEach()
* Closures-based implementations (e.g., using a callback function)

Keep in mind that each of these alternatives would require separate benchmark definitions and code.

I hope this explanation helps software engineers understand the JavaScript microbenchmark!

Related benchmarks:

Array (native) vs Ramda (version: 0)

Comparing performance of: Array (native) vs Ramda

Created: 6 years ago by: Guest

Jump to the latest result

Array (native)

Ramda

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):