Benchmark: lodash.round VS toFixed()

HTML Preparation code:

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

Script Preparation code:

var x = 5.236;

Tests:

Round floating number using lodash round function
for (var i = 0; i < 1000; i++) { _.round(x,2); }
Round floating number using toFixed()
for (var i = 0; i < 1000; i++) { x.toFixed(2); }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Round floating number using lodash round function
Round floating number using toFixed()

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 29 days ago):

LLMs can make mistakes. Check important info.

Let's break down the provided JSON and explain what's being tested, compared, and their pros and cons.

**Benchmark Definition**

The benchmark compares the performance of two rounding functions:

1. `_.round(x, 2)` from Lodash, a popular JavaScript utility library.
2. `toFixed(2)` from the native JavaScript API.

**Library: Lodash**

Lodash is a comprehensive library that provides various functions for tasks like array manipulation, string formatting, and more. The `_` alias is commonly used to refer to Lodash's exports. In this benchmark, `_.round(x, 2)` is used to round the input number `x` to two decimal places.

**Native JavaScript Function: toFixed()**

The `toFixed()` function is a native JavaScript method that rounds a number to a specified number of decimals and returns the result as a string. In this benchmark, `toFixed(2)` is used to achieve the same rounding effect as Lodash's `_round(x, 2)`.

**Comparison**

The comparison is straightforward: `_.round(x, 2)` vs `toFixed(2)`. The test user wants to know which function is faster for rounding a floating-point number to two decimal places.

**Pros and Cons**

Here are some pros and cons of each approach:

1. **Lodash's `_round(x, 2)`**
	* Pros:
		+ Easier to use, as it's part of a popular utility library.
		+ More flexible, as Lodash provides additional rounding options (e.g., `_.round(x, 0)`, `_.round(x, -1)`).
	* Cons:
		+ Adds an extra dependency on the Lodash library.
		+ May introduce unnecessary overhead due to the library's size and complexity.
2. **`toFixed(2)`**
	* Pros:
		+ Native JavaScript implementation means no additional dependencies or overhead.
		+ Simple, straightforward syntax.
	* Cons:
		+ Less flexible than Lodash's `_round(x, 2)`, as it only provides a single rounding option.

**Special JS Feature/Syntax**

There is no special JavaScript feature or syntax being tested in this benchmark. The focus is solely on the performance comparison between two established functions.

**Other Alternatives**

If you need to round numbers to multiple decimal places or require more advanced rounding options, consider using `_.round(x, number)` from Lodash (where `number` is the desired decimal precision). If you prefer a native JavaScript implementation and don't mind a slightly less flexible option, you can use other libraries like Moment.js or numeral.js. However, for this specific benchmark, toFixed(2) provides a simple and effective solution.

Latest run results:

Run details: (Test run date: 9 months ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/96.0.4664.110 Safari/537.36

Browser/OS: Chrome 96 on Windows

View result in a separate tab

Test name	Executions per second
Round floating number using lodash round function	1242.9 Ops/sec
Round floating number using toFixed()	5542.5 Ops/sec

Related benchmarks:

lodash.round VS toFixed() (version: 0)

Compare round lodash function vs javascript native toFixed() function

Comparing performance of: Round floating number using lodash round function vs Round floating number using toFixed()

Created: 5 years ago by: Guest

Jump to the latest result

Round floating number using lodash round function

Round floating number using toFixed()

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 29 days ago):