Benchmark: toLocaleString explicit locale vs toLocaleString vs custom thousands seperator

Script Preparation code:

var number = '1234567';

var addThousandsSeperators = (value) => {
  if (value.length <= 3) return value;
  return Array.from(value).reduce((acc, x, i, a) => (
    (a.length - i) % 3 === 0 && i ? `${acc},${x}` : `${acc}${x}`
  ), '');
};

Tests:

toLocaleString explicit locale
(+number).toLocaleString('en-GB');
custom thousands seperator
addThousandsSeperators(number);
toLocaleString
(+number).toLocaleString();

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
toLocaleString explicit locale
custom thousands seperator
toLocaleString

Fastest: N/A

Slowest: N/A

Latest run results:

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

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Let's break down the provided benchmark and its test cases.

**Benchmark Definition JSON:**

The benchmark defines three different ways to format numbers with thousands separators, which are:

1. Using `toLocaleString` method with an explicit locale (`"en-GB"`).
2. Creating a custom function `addThousandsSeperators` to add thousands separators.
3. Using the built-in `toLocaleString` method without any options.

**Test Cases:**

There are three test cases, each representing one of the above approaches:

1. **toLocaleString explicit locale**: This test case uses the `toLocaleString` method with an explicit locale (`"en-GB"`). The locale determines the formatting rules for numbers, including thousands separators.
2. **Custom thousands separator**: This test case creates a custom function `addThousandsSeperators` to add thousands separators manually. The function takes a string input and returns a new string with the thousands separators added.
3. **toLocaleString (default behavior)**: This test case uses the built-in `toLocaleString` method without any options. In this case, the default formatting rules are used, which may not include thousands separators.

**Pros and Cons of each approach:**

1. **toLocaleString explicit locale**: Pros:
	* Uses the browser's locale settings to ensure correct formatting for different regions.
	* Can be more reliable than custom implementations.
Cons:
	* May not work correctly if the browser doesn't support the specified locale.
2. **Custom thousands separator**:
	* Pros:
		+ Allows for fine-grained control over formatting.
		+ Can be used to test specific scenarios that require manual formatting.
	* Cons:
		+ Requires additional code and maintenance.
		+ May not be as reliable as using the browser's locale settings.
3. **toLocaleString (default behavior)**:
	* Pros:
		+ Easy to implement and maintain.
		+ Uses the browser's default formatting rules, which are likely to be correct.
	* Cons:
		+ May not work correctly in all regions or with specific locales.
		+ Limited control over formatting.

**Library used:**

There is no explicit library mentioned in the benchmark definition. The `toLocaleString` method is a built-in JavaScript function that uses the browser's locale settings to format numbers.

**Special JS feature or syntax:**

The benchmark does not use any special JavaScript features or syntax. It only uses standard JavaScript functions and variables.

**Alternatives:**

If you want to test different formatting options or scenarios, you can consider using other libraries or frameworks that provide more advanced formatting capabilities, such as:

* Internationalization (i18n) libraries like Moment.js or date-fns.
* Formatting libraries like numeral.js or formatjs.

Keep in mind that these alternatives may have their own trade-offs and requirements, so it's essential to choose the right library for your specific use case.

Related benchmarks:

toLocaleString explicit locale vs toLocaleString vs custom thousands seperator (version: 0)

Comparing performance of: toLocaleString explicit locale vs custom thousands seperator vs toLocaleString

Created: 5 years ago by: Guest

Jump to the latest result

toLocaleString explicit locale

custom thousands seperator

toLocaleString

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

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