Benchmark: Includes/has (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 entity = {id: 1}
var data = {1: "one", 2:"two"};

Tests:

Ramda
R.has(1, data);
Array (native)
Object.keys(data).includes(`${entity.id}`);

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:

Run details: (Test run date: 2 years ago)

User agent: Mozilla/5.0 (iPhone; CPU iPhone OS 17_1_2 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.1.2 Mobile/15E148 Safari/604.1

Browser/OS: Mobile Safari 17 on iOS 17.1.2

View result in a separate tab

Test name	Executions per second
Ramda	10660475.0 Ops/sec
Array (native)	6641869.5 Ops/sec

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 Overview**

The benchmark measures the speed of three different approaches to check if an object has a specific key: Ramda's `has` function, Array's native `includes` method, and Lodash's `map` function (which is used here as a wrapper around `has`). The goal is to compare the performance of these approaches in JavaScript.

**Test Cases**

There are two test cases:

1. **Ramda**: Tests the speed of Ramda's `has` function with the key `1` from the `data` object.
2. **Array (native)**: Tests the speed of Array's native `includes` method with a string literal `${entity.id}` that corresponds to the key `1` in the `data` object.

**Library and Its Purpose**

* **Ramda**: Ramda is a functional programming library for JavaScript. The `has` function checks if an object has a specific property (key) with a given value.
* **Lodash**: Lodash is another utility library that provides various helper functions, including `map`. In this benchmark, Lodash's `map` function is used as a wrapper around Ramda's `has` function to check for the existence of a key.

**Special JavaScript Feature or Syntax**

None mentioned in the provided benchmark. However, it's worth noting that some modern browsers have built-in support for certain features like `includes` on arrays (introduced in ECMAScript 2019) and `optional chaining` (`?.`) using Ramda's `has` function.

**Options Compared**

The options being compared are:

1. **Ramda's has**: Uses Ramda's `has` function to check if an object has a specific key.
2. **Array (native)**: Uses Array's native `includes` method to check if an object has a specific key.
3. **Lodash's map**: Uses Lodash's `map` function as a wrapper around Ramda's `has` function to check for the existence of a key.

**Pros and Cons**

Here are some pros and cons of each approach:

1. **Ramda's has**:
	* Pros: Easy to use, well-documented, and optimized for performance.
	* Cons: Requires importing an external library (Ramda).
2. **Array (native)**:
	* Pros: Native support in most browsers, easy to use.
	* Cons: May not be as performant as Ramda's `has` or Lodash's `map`.
3. **Lodash's map**:
	* Pros: Provides a convenient wrapper around Ramda's `has`, but may introduce overhead due to the extra function call.

**Other Alternatives**

If you need an alternative to Ramda's `has` or Array's native `includes`, you can consider:

1. **Using the in operator**: `in` is another way to check if an object has a specific property (key). Example: `"1" in data`.
2. **Checking with a for...in loop**: A basic for loop can be used to iterate through an object's properties and check if a key exists.

Keep in mind that these alternatives might not be as performant or convenient to use as the tested approaches, but they can be viable options depending on your specific requirements.

Related benchmarks:

Includes/has (Native vs Ramda) (version: 0)

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

Comparing performance of: Ramda vs Array (native)

Created: 5 years ago by: Guest

Jump to the latest result

Ramda

Array (native)

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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