Benchmark: Number.toLocaleString vs Intl.NumberFormat vs Regex2515

Tests:

Intl.NumberFormat
const currencyPlayNumber = 1; const translatedString = new Intl.NumberFormat(undefined, { style: 'currency', currency: 'RUB', }).format(currencyPlayNumber);
Number.toLocaleString
const currencyPlayNumber = 1; const translatedString = currencyPlayNumber.toLocaleString()
Regex
const currencyPlayNumber = 1; const translatedString = `${currencyPlayNumber}`.replace(/\B(?=(\d{3})+(?!\d))/g, ',');

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Intl.NumberFormat
Number.toLocaleString
Regex

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Safari/537.36

Browser/OS: Chrome 123 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
Intl.NumberFormat	81123.2 Ops/sec
Number.toLocaleString	6923973.0 Ops/sec
Regex	30620786.0 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down what's being tested in the provided JSON benchmark:

**Benchmark Definition**

The test is comparing three approaches to format numbers with Russian ruble currency symbol and thousand separators:

1. `Intl.NumberFormat`: uses the Internationalization API to format numbers according to a specific locale (in this case, undefined, which likely means "Russian").
2. `Number.toLocaleString()`: uses the `toLocaleString()` method to format numbers as strings, including the currency symbol and thousand separators.
3. `Regex`: uses a regular expression to manually replace the delimiter in the number with a comma.

**Options Compared**

The three approaches are compared in terms of:

* **Performance**: how fast each approach executes
* **Accuracy**: whether each approach produces the correct output

**Pros and Cons of Each Approach**

1. **Intl.NumberFormat**:
	* Pros: widely supported, accurate, and robust handling of locale-specific formats.
	* Cons: may not be as fast as manual approaches, requires Internationalization API.
2. **Number.toLocaleString()**:
	* Pros: simple and fast, uses built-in method for formatting numbers.
	* Cons: may not produce the exact same output as Intl.NumberFormat due to locale differences, less robust handling of edge cases.
3. **Regex**:
	* Pros: highly customizable, can be very fast if optimized correctly.
	* Cons: error-prone, requires manual knowledge of regular expressions, and can lead to performance issues if not implemented carefully.

**Library/Module Used**

The `Intl.NumberFormat` approach uses the Internationalization API, which is a part of the JavaScript standard library. This module provides a way to format numbers according to specific locales, including Russian ruble currency symbol and thousand separators.

**Special JS Feature/Syntax**

There's no special JS feature or syntax being tested in this benchmark. The tests focus on comparing three different approaches to formatting numbers with a specific locale.

**Other Alternatives**

If you need to compare performance of other methods for formatting numbers, you could consider:

* Using `Number_FORMAT_COUNTING` constant from the Internationalization API to format numbers as strings.
* Implementing your own manual formatting logic using string concatenation or template literals.
* Comparing the performance of different libraries or frameworks that provide number formatting capabilities (e.g., React's NumberFormat component).

Keep in mind that the choice of approach depends on the specific requirements and constraints of your project.

Related benchmarks:

Number.toLocaleString vs Intl.NumberFormat vs Regex2515 (version: 0)

Comparing performance of: Intl.NumberFormat vs Number.toLocaleString vs Regex

Created: 2 years ago by: Guest

Jump to the latest result

Intl.NumberFormat

Number.toLocaleString

Regex

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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