Benchmark: ES6 some vs underscore some

HTML Preparation code:

<script src='https://cdnjs.cloudflare.com/ajax/libs/underscore.js/1.9.1/underscore-min.js'></script>

Script Preparation code:

var data = ['CCP', 'RECRUITERPKG', 'TALENTINSIGHTSPACKAGE', 'LSSPKG', 'CAPJOBSLOT', 'ADS', 'VC', 'LSSSEAT', 'JOBWRAPPING', 'PREPAIDJYMBII'];

Tests:

_.some
var result = _.some(data, (value)=>value==='CCP');
array.some
var result = data.some(product => product === 'CCP');

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
_.some
array.some

Fastest: N/A

Slowest: N/A

Latest run results:

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

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Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net.

**Benchmark Overview**

The provided benchmark compares two approaches to checking if an element is equal to a specific value in an array: using `underscore.js` and using the built-in `some()` method of arrays. The test cases are identical, except for the implementation detail: one uses the `_some()` function from the underscore library, while the other uses the native `some()` method.

**Options Compared**

The benchmark compares two options:

1. **Using the `_some()` function from Underscore.js**: This approach uses a dedicated utility function from the Underscore.js library to check if any element in an array satisfies a given condition.
2. **Using the built-in `some()` method of arrays**: This approach uses the native method provided by JavaScript arrays to check if at least one element matches a certain condition.

**Pros and Cons**

Here are some pros and cons for each approach:

**Underscore.js `_some()` function:**

Pros:

* More concise code
* Might be optimized for performance (depending on the implementation)

Cons:

* Requires an external library (Underscore.js)
* May have additional overhead due to the library import

**Built-in `some()` method of arrays:**

Pros:

* No additional dependencies required
* Likely to be highly optimized by JavaScript engines

Cons:

* Code might look less concise compared to the `_some()` function
* Might have slower execution speed due to the optimization complexities

**Other Considerations**

When choosing between these two approaches, consider the following factors:

* **Performance**: If performance is a critical concern, using the built-in `some()` method might be slightly faster. However, this may vary depending on the specific JavaScript engine and environment.
* **Code readability**: The `_some()` function can make code look more concise and readable, especially for developers familiar with Underscore.js.

**Library: Underscore.js**

Underscore.js is a popular utility library for JavaScript that provides a set of functions to simplify common tasks. In this case, the `_some()` function is used to check if any element in an array satisfies a given condition. Other useful functions from Underscore.js include `filter()`, `map()`, and `reduce()`.

**Special JS Feature or Syntax: None**

There are no special JavaScript features or syntax involved in these test cases, as they focus solely on the implementation difference between using `_some()` from Underscore.js and the built-in `some()` method of arrays.

**Alternatives**

Other alternatives to measure performance include:

* **Built-in `every()` method of arrays**: This method can be used to check if all elements in an array satisfy a certain condition.
* **Using `Array.prototype.forEach()` with a callback function**: This approach involves using the `forEach()` method and defining a callback function to execute for each element in the array.
* **Manual iteration**: Implementing manual iteration using `for` loops or `while` loops can be used as an alternative, but it may be less efficient compared to the built-in methods.

Related benchmarks:

ES6 some vs underscore some (version: 0)

Comparing performance of: _.some vs array.some

Created: 3 years ago by: Guest

Jump to the latest result

_.some

array.some

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):