Benchmark: Lodash some vs Native some

HTML Preparation code:

<script src='https://cdn.jsdelivr.net/lodash/4.17.4/lodash.fp.min.js'></script>

Script Preparation code:

var arr = [false, false, false, false, false, true]

Tests:

Lodash
_.some(arr, Boolean)
Native
arr.some(Boolean)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lodash
Native

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 27 days ago):

LLMs can make mistakes. Check important info.

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

**Benchmark Overview**

The benchmark is comparing two approaches:

1. **Native JavaScript**: The first test case uses native JavaScript, which means it doesn't rely on any external libraries or frameworks. In this case, the code `arr.some(Boolean)` is executed directly in the browser.
2. **Lodash library**: The second test case uses the Lodash library, a popular utility library for JavaScript that provides various helper functions.

**Options Compared**

The benchmark is comparing two options:

* **Native JavaScript**: Using native JavaScript to implement the `some` method on an array.
* **Lodash library**: Using the `_.some` function from the Lodash library to implement the same logic as native JavaScript.

**Pros and Cons of Each Approach**

### Native JavaScript

Pros:

* **Performance overhead**: The benchmark can accurately measure the performance impact of using native JavaScript, as it's a pure JavaScript implementation.
* **Familiarity**: Developers are more likely to be familiar with native JavaScript code.

Cons:

* **Code complexity**: Implementing a `some` method from scratch requires additional code, which might increase the overall complexity of the benchmark.

### Lodash library

Pros:

* **Pre-existing implementation**: The Lodash library provides an existing implementation for the `_.some` function, which is widely tested and optimized.
* **Convenience**: Developers can use a pre-built library, reducing the need to write additional code.

Cons:

* **Performance overhead**: Including an external library introduces additional performance overhead due to loading and parsing the library's code.
* **Dependency on library**: The benchmark relies on the Lodash library being available, which might not be the case in all environments.

**Library: Lodash**

Lodash is a popular utility library for JavaScript that provides various helper functions. In this context, `_.some` is used to check if any element in an array passes a test.

**Special JS Feature/Syntax**

None mentioned in the provided benchmark, so I won't elaborate on it.

**Other Alternatives**

If you wanted to add more test cases or variations, here are some additional options:

* **Using other utility libraries**: Testing with different utility libraries like jQuery's `some` method or a custom implementation.
* **Native JavaScript alternatives**: Comparing alternative implementations of the `some` method using JavaScript syntax like `every` and `some` together (e.g., `arr.every(Boolean) && arr.some(Boolean)`).
* **Browser-specific optimizations**: Testing browser-specific optimizations, such as WebAssembly support for improved performance.

Keep in mind that adding more test cases or variations would require careful consideration to ensure the benchmark remains relevant and accurate.

Latest run results:

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

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:129.0) Gecko/20100101 Firefox/129.0

Browser/OS: Firefox 129 on Mac OS X 10.15

View result in a separate tab

Test name	Executions per second
Lodash	1209176.2 Ops/sec
Native	31349772.0 Ops/sec

Related benchmarks:

Lodash some vs Native some (version: 0)

Comparing performance of: Lodash vs Native

Created: 3 years ago by: Guest

Jump to the latest result

Lodash

Native

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 27 days ago):