Benchmark: Clamp Math vs Lodash clamp

HTML Preparation code:

<script src="https://cdnjs.cloudflare.com/ajax/libs/ramda/0.25.0/ramda.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js"></script>

Script Preparation code:

var data = _.range(10000).map(function(i) {
    return {
        counter: Math.floor(Math.random() * 10)
    }
});

function clamp(value, min, max) {
    return Math.max(min, Math.min(value, max));
}

Tests:

R Clamp
var result = data.map((d) => R.clamp(1, 5, d.counter));
Lodash clamp
var result = data.map((d) => _.clamp(1, 5, d.counter));
JS Clamp
var result = data.map((d) => clamp(1, 5, d.counter));

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
R Clamp
Lodash clamp
JS Clamp

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 5 months ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:145.0) Gecko/20100101 Firefox/145.0

Browser/OS: Firefox 145 on Mac OS X 10.15

View result in a separate tab

Test name	Executions per second
R Clamp	8524.0 Ops/sec
Lodash clamp	6202.3 Ops/sec
JS Clamp	22803.1 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 benchmark and explain what's being tested.

**Benchmark Overview**

The benchmark measures the performance of three different implementations of a clamp function:

1. `R.Clamp` (using Ramda library): Clamps a value to a specified minimum and maximum.
2. `Lodash clamp`: Clamps a value to a specified minimum and maximum using Lodash library.
3. `JS Clamp` (custom implementation): Clamps a value to a specified minimum and maximum using only JavaScript.

**Options Compared**

The three implementations are compared in terms of performance, specifically the number of executions per second.

* **Ramda (`R.Clamp`)**: Uses Ramda's `clamp` function from its `R` namespace. Ramda is a functional programming library for JavaScript.
* **Lodash (`Lodash clamp`)**: Uses Lodash's `clamp` function from its `_` namespace. Lodash is a utility library that provides functions for tasks such as array manipulation, string templating, and more.
* **JS Clamp**: A custom implementation of the clamp function in pure JavaScript.

**Pros and Cons**

Here are some pros and cons of each approach:

* **Ramda (`R.Clamp`)**:
	+ Pros: Lightweight and efficient due to its functional programming nature. Ramda's `clamp` function is specifically optimized for performance.
	+ Cons: Requires including an additional library (Ramda) in the benchmark.
* **Lodash (`Lodash clamp`)**:
	+ Pros: Wide adoption and a large community of developers who have tested and optimized this implementation.
	+ Cons: Slightly heavier than Ramda due to its utility library nature. Lodash's `clamp` function may have some overhead from its general-purpose functionality.
* **JS Clamp**:
	+ Pros: Only uses JavaScript, making it easy to implement and test locally.
	+ Cons: May not be as optimized or efficient as the other two implementations.

**Library Descriptions**

* Ramda is a functional programming library that provides a set of reusable functions for tasks such as array manipulation, string templating, and more. Its `clamp` function takes three arguments (min, max, and value) and returns the clamped value.
* Lodash is a utility library that provides a wide range of functions for tasks such as array manipulation, string templating, and more. Its `clamp` function does exactly what its name suggests: clamps a value to a specified minimum and maximum.

**Special JS Feature/Syntax**

This benchmark does not use any special JavaScript features or syntax beyond the standard ECMAScript 2022 specification.

Related benchmarks:

Clamp Math vs Lodash clamp (version: 0)

Testing math min, clamping vs lodash clamping

Comparing performance of: R Clamp vs Lodash clamp vs JS Clamp

Created: 4 years ago by: Registered User

Jump to the latest result

R Clamp

Lodash clamp

JS Clamp

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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