Benchmark: Deslugify using Regex vs Vanilla JS

Tests:

Regex
const slug = "measure-that-net" const result = slug .replace(/-/g, ' ') // replace dashes with spaces .replace(/\b\w/g, (match) => match.toUpperCase()); // capitalize the first letter of each word console.log(result)
Javascript
const slug = "measure-that-net" const result = slug .split('-') .map((word) => word.charAt(0).toUpperCase() + word.slice(1)) .join(' ') console.log(result)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Regex
Javascript

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/121.0.0.0 Safari/537.36

Browser/OS: Chrome 121 on Windows

View result in a separate tab

Test name	Executions per second
Regex	128084.6 Ops/sec
Javascript	127107.4 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the provided JSON and explain what's being tested, compared, and what's going on with libraries and special JavaScript features.

**What is being tested?**

The benchmark compares two approaches to slugify (convert a string to a slug) using JavaScript:

1. **Regex**: This approach uses regular expressions (regex) to replace dashes with spaces and capitalize the first letter of each word.
2. **Vanilla JS**: This approach uses string methods like `split()`, `map()`, and `join()` to achieve the same result.

**Options compared**

The two approaches differ in how they process the input string:

* Regex: Uses a single, complex regex pattern to replace dashes with spaces and capitalize the first letter of each word.
* Vanilla JS: Breaks down the string into individual words, capitalizes each word, and then joins them back together with spaces.

**Pros and Cons**

Here are some pros and cons of each approach:

Regex:

Pros:

* Can be more concise and efficient for simple replacements
* Can handle complex patterns with ease

Cons:

* Can be slow and memory-intensive if not optimized correctly
* May have performance issues if the regex pattern is too complex or large

Vanilla JS:

Pros:

* Typically faster and more efficient than regex approaches
* Easy to understand and maintain, especially for simple cases

Cons:

* May require more code and complexity for larger strings or more intricate processing

**Library usage**

There is no explicit library mentioned in the provided JSON. However, it's worth noting that if a custom JavaScript function was used instead of the vanilla JS approach, it could be considered a third-party library.

**Special JavaScript features**

No special JavaScript features are explicitly used in this benchmark. The examples only demonstrate standard JavaScript string methods and regex patterns.

**Other alternatives**

If you're looking for alternative approaches or optimizations, consider the following:

* Using a dedicated slugification library, such as `slugify` or `sanitize`, which can provide optimized and battle-tested implementations.
* Using a more advanced regex pattern or approach, like using word boundaries (`\b`) to capitalize only the first letter of each word.
* Optimizing the benchmark by reducing the number of strings being processed, minimizing memory allocations, or leveraging browser caching.

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

Related benchmarks:

Deslugify using Regex vs Vanilla JS (version: 0)

Comparing performance of: Regex vs Javascript

Created: 2 years ago by: Guest

Jump to the latest result

Regex

Javascript

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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