Benchmark: lodash camelCase vs javascript camelCase long 2

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("");

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
lodash
javascript

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and its options.

**Benchmark Overview**

The measurement being tested is the performance difference between two approaches for converting a string to camelCase: using the `_.camelCase` function from Lodash (a popular JavaScript utility library) versus implementing the conversion manually using JavaScript's built-in methods (`split`, `map`, `join`, and `charAt`).

**Options Compared**

1. **Lodash's `_camelCase` function**: This method is part of the Lodash library, which provides a set of functional programming helpers for tasks like string manipulation, array processing, and more.
2. **Manual implementation using JavaScript's built-in methods**: This approach uses standard JavaScript functions to split the input string into words, capitalize the first letter of each word, and convert subsequent letters to lowercase.

**Pros and Cons**

**Lodash's `_camelCase` function:**
	* Pros:
		+ Portable across different environments and browsers.
		+ Efficient and optimized for performance.
		+ Provides additional features beyond simple camelCase conversion (e.g., support for multiple separators).
	* Cons:
		+ Adds an external dependency (the Lodash library).
		+ May have a larger overhead compared to manual implementation.

**Manual implementation using JavaScript's built-in methods:**
	* Pros:
		+ No external dependencies, making it more portable and self-contained.
		+ Potential for smaller size and faster execution due to fewer function calls.
	* Cons:
		+ Requires manual effort and may be less readable or maintainable for complex cases.
		+ May require additional workarounds for edge cases (e.g., handling non-ASCII characters).

**Library Used: Lodash**

Lodash is a popular JavaScript library that provides a set of functional programming helpers. The `_camelCase` function is just one example of its many utility functions. Lodash's purpose is to simplify common tasks and provide a consistent, predictable way to perform them.

**Special JS Feature/Syntax (None mentioned)**

There are no special JavaScript features or syntax used in this benchmark beyond standard JavaScript methods like `split`, `map`, `join`, and `charAt`.

**Alternative Approaches**

Some potential alternative approaches for string camelCase conversion include:

1. **Using a dedicated library**: Besides Lodash, there are other libraries available, such as `lodash-es` (a subset of Lodash optimized for ES modules) or specialized libraries like `camelcase-js`.
2. **Implementing with regex**: Using regular expressions to achieve camelCase conversion can be another approach.
3. **Using a hybrid approach**: Combining manual implementation with optimized library functions to balance performance and maintainability.

Keep in mind that the choice of approach depends on specific requirements, such as performance, readability, and maintainability, as well as the size and complexity of your project.

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/100.0.4896.88 Safari/537.36

Browser/OS: Chrome 100 on Linux

View result in a separate tab

Test name	Executions per second
lodash	497996.3 Ops/sec
javascript	1220263.1 Ops/sec

Related benchmarks:

lodash camelCase vs javascript camelCase long 2 (version: 0)

Comparing performance of: lodash vs javascript

Created: 2 years ago by: Guest

Jump to the latest result

lodash

javascript

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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