Benchmark: Difference lodash vs Filter-Not-Includes

HTML Preparation code:

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

Script Preparation code:

var arrFull = [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20]
var arrOne = [1,2,3,5,6,11,13,17,19]

Tests:

Lodash - Full
_.difference(arrFull, arrFull)
Filter Full
arrFull.filter(a=>!arrFull.includes(a))
Lodash - Partial
_.difference(arrFull, arrOne)
Filter - Partial
arrFull.filter(a=>!arrOne.includes(a))

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lodash - Full
Filter Full
Lodash - Partial
Filter - Partial

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 3 years ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.114 Safari/537.36

Browser/OS: Chrome 91 on Windows

View result in a separate tab

Test name	Executions per second
Lodash - Full	1547420.1 Ops/sec
Filter Full	553622.9 Ops/sec
Lodash - Partial	1835575.9 Ops/sec
Filter - Partial	602570.7 Ops/sec

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

LLMs can make mistakes. Check important info.

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

**Benchmark Definition**

The benchmark tests two approaches to find the difference between two arrays: using Lodash's `_.difference()` method and using the `filter` method with an arrow function that checks if an element is not included in the second array.

**Lodash `_difference()` Method**

* **Description**: The `_difference()` method returns a new array containing all elements of the first array (`arrFull`) that are not present in the second array (`arrOne`).
* **Purpose**: To test the performance of Lodash's `_.difference()` method for finding differences between two arrays.
* **Pros**:
	+ Convenient and concise way to find differences between two arrays.
	+ Handles arrays with duplicate elements correctly.
* **Cons**:
	+ May not be suitable for large datasets due to its functional programming nature, which can lead to higher memory usage and slower performance.

**`filter` Method with Arrow Function**

* **Description**: The `filter()` method creates a new array containing all elements that pass the test implemented by the provided function (in this case, an arrow function that checks if an element is not included in `arrOne`).
* **Purpose**: To test the performance of using the `filter()` method with an arrow function to find differences between two arrays.
* **Pros**:
	+ Suitable for large datasets due to its iterative nature, which can lead to faster performance and lower memory usage.
	+ Allows for more control over the filtering process.
* **Cons**:
	+ May be less concise than the `_difference()` method, requiring more code to achieve the same result.

**Other Considerations**

* **Library**: Lodash is a popular JavaScript utility library that provides a wide range of functions for tasks such as array manipulation, string manipulation, and functional programming.
* **Special JS Feature/Syntax**: None mentioned in this benchmark.

**Alternatives**

* Other array manipulation methods, such as `forEach()` or `reduce()`, could be used to find differences between two arrays. However, these methods would likely have different performance characteristics compared to the `_difference()` method and the `filter` method with an arrow function.
* Custom implementations using loops or other iterative approaches could also be used, but may not provide the same level of convenience and readability as Lodash's `_difference()` method.

Overall, this benchmark allows users to compare the performance of two common approaches to finding differences between arrays in JavaScript.

Related benchmarks:

Difference lodash vs Filter-Not-Includes (version: 0)

Comparing performance of: Lodash - Full vs Filter Full vs Lodash - Partial vs Filter - Partial

Created: 3 years ago by: Guest

Jump to the latest result

Lodash - Full

Filter Full

Lodash - Partial

Filter - Partial

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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