Benchmark: lodash camelCase vs javascript camelCase long vs javascript camelCase regex

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/lodash/4.16.0/lodash.min.js"></script>

Script Preparation code:

var str = 'live_dlick_product_caunt_blias'

Tests:

lodash
_.camelCase(str)
javascript
str.split("-").map((item, index) => index ? item.charAt(0).toUpperCase() + item.slice(1).toLowerCase() : item).join("");
regex javascript
function camelize(str) { return str.replace(/(?:^\w|[A-Z]|\b\w)/g, (word, index) => { return index === 0 ? word.toLowerCase() : word.toUpperCase() }) }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
lodash
javascript
regex javascript

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 26 days ago):

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and explain what's being tested.

**Benchmark Overview**

The benchmark compares three approaches to achieve camelCase conversion: Lodash, JavaScript (using `split()`, `map()`, and `join()`), and regular expressions (regex). The benchmark tests which approach is faster on a specific input string `"live_dlick_product_caunt_blias"`.

**Options Compared**

1. **Lodash**: Uses the `_camelCase()` function from Lodash, a popular JavaScript utility library.
2. **JavaScript**: Employs a custom implementation using `split()`, `map()`, and `join()` to achieve camelCase conversion.
3. **Regex JavaScript**: Utilizes a regular expression to perform camelCase conversion.

**Pros and Cons of Each Approach**

1. **Lodash**:
	* Pros: Well-maintained, widely used library with a simple API.
	* Cons: May introduce additional overhead due to the library's presence in the execution path.
2. **JavaScript**:
	* Pros: Customizable, can be optimized for specific use cases.
	* Cons: More complex implementation, may require additional memory allocation and handling.
3. **Regex JavaScript**:
	* Pros: Can be highly efficient for large inputs, as it only requires a single pass through the string.
	* Cons: May be less readable and maintainable due to its complexity.

**Library and Purpose**

Lodash is a popular JavaScript utility library that provides a set of functions for common tasks, including string manipulation. The `_camelCase()` function in Lodash takes an input string and returns the camel-case equivalent.

**Special JS Feature or Syntax**

None mentioned in this benchmark.

**Other Alternatives**

1. **Underscore.js**: Another popular JavaScript utility library that provides similar functionality to Lodash.
2. **ES6 `toCamelCase()``**: If the target browser supports ES6 features, a simple and efficient implementation can be achieved using the `toCamelCase()` method.

**Benchmark Results**

The latest benchmark results show that:

1. **Regex JavaScript** is the fastest approach, executing approximately 438441 executions per second.
2. **JavaScript** is slightly slower than regex, with around 97083 executions per second.
3. **Lodash** is the slowest approach, executing around 190697904 executions per second.

These results suggest that using a regular expression for camelCase conversion can be an efficient approach, but may require careful consideration of its readability and maintainability.

Latest run results:

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

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/102.0.0.0 Safari/537.36

Browser/OS: Chrome 102 on Linux

View result in a separate tab

Test name	Executions per second
lodash	97083.8 Ops/sec
javascript	438441.2 Ops/sec
regex javascript	190697904.0 Ops/sec

Related benchmarks:

lodash camelCase vs javascript camelCase long vs javascript camelCase regex (version: 0)

Comparing performance of: lodash vs javascript vs regex javascript

Created: 2 years ago by: Guest

Jump to the latest result

lodash

javascript

regex javascript

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 26 days ago):