Benchmark: Some/Includes - Lodash VS ES6 check (fixed)

HTML Preparation code:

<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.15/lodash.min.js'></script>

Script Preparation code:

var array = ['http://', 'https://'];
var url = 'http://www.google.com';

Tests:

Lodash
_.some(array, (el) => _.includes(url, el));
ES6
const test = (el) => url.includes(el); array.some(test);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lodash
ES6

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

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

LLMs can make mistakes. Check important info.

I'd be happy to explain the benchmark and its results in detail.

**Benchmark Overview**

The benchmark is comparing two approaches to check if a string contains one of multiple values: using Lodash's `some` function with an included method, versus using a simple string comparison in JavaScript (ES6). The benchmark aims to determine which approach is faster on modern web browsers.

**Options Compared**

There are two options being compared:

1. **Lodash**: Using Lodash's `some` function with an included method to check if the string contains any of the specified values.
	* Pros: Lodash provides a well-tested and widely-used utility library that abstracts away low-level details, making it easier to write readable code.
	* Cons: Adding extra overhead due to the dependency on the Lodash library, which may not be necessary for simple use cases.
2. **ES6 String Comparison**: Using a simple string comparison in JavaScript (ES6) to check if the string contains any of the specified values.
	* Pros: No additional dependencies or overhead, making it a lightweight and efficient option.
	* Cons: Requires manual handling of edge cases and potential performance issues with very large strings.

**Other Considerations**

When choosing between these options, consider the following factors:

* **Readability**: If code readability is more important than performance, Lodash's approach might be preferable.
* **Performance**: For high-performance applications or scenarios where every millisecond counts, the ES6 string comparison method might be a better choice.
* **Libraries and Dependencies**: Depending on project requirements and constraints, choosing between these options may involve weighing the pros of using Lodash against the potential overhead.

**Library: Lodash**

Lodash is a popular JavaScript utility library that provides a wide range of functions for common tasks, such as array manipulation, string processing, and more. The `some` function is used to check if any element in an array satisfies a condition, which in this case is checking if the input string contains any of the specified values.

**Special JS Feature/Syntax: None**

This benchmark does not use any special JavaScript features or syntax beyond ES6.

**Benchmark Results**

The latest benchmark results show that the **ES6 String Comparison** method outperforms Lodash by a significant margin, with 3.05 times more executions per second on this specific test case (Chrome 79 on Windows Desktop).

These results suggest that for simple string comparisons like this one, using a straightforward ES6 approach can be faster and more efficient than relying on an external library like Lodash.

**Alternatives**

If you're looking for alternatives to these options:

* For **Lodash**, consider other utility libraries like Moment.js or underscore.js.
* For **ES6 String Comparison**, explore other string manipulation functions in JavaScript, such as `includes()`, `indexOf()`, or `startsWith()`.

Keep in mind that the best choice ultimately depends on your specific use case and project requirements.

Related benchmarks:

Some/Includes - Lodash VS ES6 check (fixed) (version: 1)

Comparison about how to check if string contains one of multiple values

Comparing performance of: Lodash vs ES6

Created: 6 years ago by: Registered User

Jump to the latest result

Lodash

ES6

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):