Benchmark: Lodash clamp vs Math.min(Math.max)

HTML Preparation code:

<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.7.11/lodash.min.js'></script>

Tests:

Lodash clamp
_.clamp(150, 10, 100);
Manual Math.min Math.max
Math.min(Math.max(150, 10), 100);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lodash clamp
Manual Math.min Math.max

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.6 Safari/605.1.15

Browser/OS: Safari 17 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
Lodash clamp	39609860.0 Ops/sec
Manual Math.min Math.max	273818304.0 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated 6 months ago):

LLMs can make mistakes. Check important info.

Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net!

**What is tested?**

The provided benchmark tests two approaches to clamping a value between two limits:

1. Using Lodash's `clamp` function: This approach uses a dedicated library (Lodash) to perform the clamping operation.
2. Manual implementation using `Math.min(Math.max)`: This approach relies on built-in JavaScript functions, `Math.min` and `Math.max`, to achieve the same result.

**Options compared**

The two approaches being tested are:

* Lodash's `clamp` function: A dedicated library function designed for clamping values between limits.
* Manual implementation using `Math.min(Math.max)`: A straightforward implementation using built-in JavaScript functions to achieve the same result.

**Pros and Cons of each approach:**

1. **Lodash's `clamp` function**:
	* Pros:
		+ Optimized for performance by Lodash, which is a well-maintained and widely-used library.
		+ Reduces the need to implement clamping logic from scratch, saving development time.
	* Cons:
		+ Requires including an external library (Lodash), adding dependencies to your project.
		+ May have overhead due to the addition of another JavaScript file or module.
2. **Manual implementation using `Math.min(Math.max)`**:
	* Pros:
		+ No additional dependencies, as it only relies on built-in JavaScript functions.
		+ Can be easier to understand and implement for developers familiar with these functions.
	* Cons:
		+ Requires manual implementation of the clamping logic, which can lead to errors or performance issues if not done correctly.

**Library used: Lodash**

Lodash is a popular JavaScript utility library that provides a wide range of functional programming tools, including `clamp`. It's designed for flexibility and customization, allowing developers to extend its functionality or swap out different implementations. In this benchmark, Lodash's `clamp` function is used to perform the clamping operation.

**Special JS feature or syntax**

There isn't any special JavaScript feature or syntax being tested in this benchmark. Both approaches rely on built-in functions or a dedicated library, and there are no custom features or syntax being compared.

**Other alternatives**

If you're looking for alternative libraries to Lodash for clamping values, some popular options include:

* Underscore.js: Another widely-used utility library that provides similar functionality to Lodash.
* Moment.js: While primarily used for date and time manipulation, Moment.js also includes a `clamp` function (albeit with slightly different behavior).

However, for this specific benchmark, using a dedicated library like Lodash or Underscore.js is likely the most effective way to achieve consistent results across various implementations.

In summary, MeasureThat.net's benchmark provides a straightforward comparison between two approaches to clamping values: using a dedicated library (Lodash) versus manual implementation with built-in JavaScript functions. This allows developers to evaluate the performance and trade-offs of each approach in their own code.

Related benchmarks:

Lodash clamp vs Math.min(Math.max) (version: 0)

Comparing performance of: Lodash clamp vs Manual Math.min Math.max

Created: 5 years ago by: Guest

Jump to the latest result

Lodash clamp

Manual Math.min Math.max

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 6 months ago):