Benchmark: lodash difference vs ES6 Set

HTML Preparation code:

<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>

Script Preparation code:

var arr1 = [];
for(let i = 0; i < 1000; i++) {
  arr1.push('' + i);
}

var arr2 = [];
for(let i = 499; i >= 0; i--) {
  arr2.push('' + i);
}

Tests:

_difference
const finalArray = _.difference(arr1, arr2)
Set/Filter
const outList = new Set([...arr2]); const finalArray = arr1.filter(value => !outList.has(value));

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
_difference
Set/Filter

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36 Edg/131.0.0.0

Browser/OS: Chrome 131 on Windows

View result in a separate tab

Test name	Executions per second
_difference	39236.9 Ops/sec
Set/Filter	46122.1 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's dive into the world of MeasureThat.net and analyze the provided benchmark.

**What is being tested?**

The provided JSON represents two individual test cases for measuring performance differences between two approaches:

1.  Lodash's `difference` function
2.  Using a Set data structure in combination with Array filtering (`Set/Filter` approach)

Both tests aim to measure the execution time and speed of these two methods when removing elements from an array.

**Options compared**

There are three main options being compared in this benchmark:

*   **Lodash's `difference` function**: This method is designed to return a new array containing all elements that are present in the first argument (`arr1`) but not in the second argument (`arr2`).
*   **Using a Set data structure with Array filtering**: This approach involves creating a Set from the second array (`arr2`) and then using the `filter()` method on the first array (`arr1`) to exclude elements that are present in the Set.

**Pros and Cons of each approach**

Here's a brief overview of the pros and cons of each approach:

*   **Lodash's `difference` function:**
    *   Pros:
        *   Efficient use of memory, as it returns a new array without modifying the original data.
        *   Well-tested and widely used library, which can provide a more stable performance baseline.
    *   Cons:
        *   May not be as lightweight or efficient in terms of execution speed compared to the Set/Filter approach, especially for large datasets.
*   **Set/Filter approach:**
    *   Pros:
        *   Can be more efficient than Lodash's `difference` function, especially for larger datasets, since it only requires a single pass through the data.
        *   Simplifies the code and can make it easier to understand and maintain.
    *   Cons:
        *   May require more memory to store the Set, which could impact performance in very memory-constrained environments.

**Library and purpose**

The library used here is Lodash (version 4.17.5), a popular JavaScript utility library that provides various functions for tasks like array manipulation, string manipulation, and more.

**Special JS feature or syntax**

There are no specific JavaScript features or syntaxes mentioned in the benchmark, so I won't elaborate on any particular ones.

Now, let's look at some alternative approaches to measure performance differences between these two methods:

*   **Using `filter()` with `includes()`**: This approach would involve using the `includes()` method to check if each element in the first array (`arr1`) is present in the Set created from the second array (`arr2`), instead of comparing individual elements directly.
*   **Using a more efficient data structure like a Trie or a B-tree**: Depending on the specific requirements and characteristics of the data, alternative data structures could potentially provide better performance for certain operations.

These alternatives might not be as well-known or widely supported as Lodash's `difference` function or the Set/Filter approach, but they are worth considering if you're looking to optimize performance in your own projects.

Related benchmarks:

lodash difference vs ES6 Set (version: 0)

Comparing performance of: _difference vs Set/Filter

Created: 3 years ago by: Guest

Jump to the latest result

_difference

Set/Filter

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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