Benchmark: captialize - MeasureThat.net

HTML Preparation code:

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

Tests:

replace
function capitalize(str) { return str.replace(/(^[a-z]|\s[a-z])/g, text => text.toUpperCase()) } for ( let i = 0; i < 1000; i++) { capitalize('ho hiep 111') }
lodash
for ( let i = 0; i < 1000; i++) { _.capitalize('ho hiep 111') }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
replace
lodash

Fastest: N/A

Slowest: N/A

Latest run results:

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

LLMs can make mistakes. Check important info.

Measuring JavaScript performance is essential, and platforms like MeasureThat.net help developers understand how different approaches affect their code's execution speed.

The provided JSON represents two benchmark definitions for the `capitalize` function. The main task of this function is to capitalize the first letter of each word in a given string.

**Option 1: Vanilla JavaScript**
```javascript
function capitalize(str) {
  return str.replace(/(^[a-z]|\\s[a-z])/g, text => text.toUpperCase());
}

for (let i = 0; i < 1000; i++) {
  capitalize('ho hiep 111');
}
```
**Option 2: Using Lodash**
```javascript
function capitalize(str) {
  return _.capitalize(str);
}

for (let i = 0; i < 1000; i++) {
  _.capitalize('ho hiep 111');
}
```
Let's break down the pros and cons of each approach:

**Vanilla JavaScript:**

Pros:

* No external dependencies required.
* Easy to understand and implement.

Cons:

* The regular expression might be less efficient due to its complexity.
* May require more manual optimization for performance-critical code.

**Using Lodash:**

Pros:

* Leverages a well-tested and optimized library for string manipulation.
* Can simplify code and reduce the chance of introducing bugs.

Cons:

* Introduces an external dependency, which might slow down loading times.
* May incur additional overhead due to the library's complexity.

Now, let's analyze the latest benchmark results:

The first test case uses the `_.capitalize` function from Lodash, while the second test case uses a custom implementation of the `capitalize` function with regular expressions. The raw UAS (User Agent String) and execution per second values indicate that the Lodash version is significantly faster than the vanilla JavaScript implementation.

**Lodash Library:**

Lodash is a popular utility library for JavaScript that provides a wide range of functions for tasks like string manipulation, array processing, and more. In this benchmark, Lodash's `_.capitalize` function is used to capitalize the first letter of each word in the input string.

**Other Alternatives:**

If you prefer not to use Lodash or want to explore other options, here are a few alternatives:

1. **String.prototype.toUpperCase()**: You can leverage the built-in `toUpperCase()` method on strings to achieve similar results.
```javascript
function capitalize(str) {
  return str.split(' ').map(word => word.toUpperCase()).join(' ');
}

for (let i = 0; i < 1000; i++) {
  capitalize('ho hiep 111');
}
```
2. **A library like Underscore.js**: Another popular utility library for JavaScript that provides similar functionality to Lodash.
```javascript
function capitalize(str) {
  return _.camelCase(str);
}

for (let i = 0; i < 1000; i++) {
  capitalize('ho hiep 111');
}
```
3. **A custom implementation**: You can also write a custom implementation of the `capitalize` function using only vanilla JavaScript, without relying on external libraries or built-in methods.

Ultimately, the choice of approach depends on your project's requirements, your team's expertise, and the trade-offs you're willing to make between performance, code complexity, and maintainability.

Related benchmarks:

captialize (version: 0)

captialize

Comparing performance of: replace vs lodash

Created: 5 years ago by: Guest

Jump to the latest result

replace

lodash

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):