Benchmark: Lodash vs Set Spread

HTML Preparation code:

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

Tests:

Lodash
const myarr = [2,2,4,5,6,3,5,3,6,2,4,6,7,5,6,34,5,3,56,34,45,34,53,5,435,24,5,345,5,453,45]; const l = _.uniq(myarr);
Set Spread
const myarr = [2,2,4,5,6,3,5,3,6,2,4,6,7,5,6,34,5,3,56,34,45,34,53,5,435,24,5,345,5,453,45]; const s = [...new Set(myarr)];

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lodash
Set Spread

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!

The provided JSON represents a benchmark test between two approaches for removing duplicates from an array: Lodash and Set Spread.

**What is being tested?**

In this test, we have two individual arrays with varying lengths and values. The goal is to determine which approach (Lodash or Set Spread) is faster in terms of execution time when removing duplicates from the array.

**Options compared:**

1. **Lodash**: This is a popular JavaScript utility library that provides a wide range of functions for tasks like data manipulation, string manipulation, and more. In this test, we're using the `_.uniq()` function to remove duplicates from the array.
2. **Set Spread**: This approach uses the spread operator (`...`) along with the `Set` constructor to remove duplicates from the array.

**Pros and Cons:**

1. **Lodash**:
	* Pros:
		+ Well-maintained and widely used library, so it's likely to be optimized for performance.
		+ Provides a simple and readable way to remove duplicates.
	* Cons:
		+ Adds extra overhead due to the function call and object creation.
		+ May not be suitable for very large datasets due to memory constraints.
2. **Set Spread**:
	* Pros:
		+ Efficient, as it only uses a single pass through the array and a minimal amount of extra memory.
		+ Native JavaScript implementation, so it's likely to be fast and lightweight.
	* Cons:
		+ Requires more boilerplate code to achieve the same result as Lodash.
		+ May not work correctly if the input array contains non-numeric values or non-hashable elements.

**Library:**

In this test, we're using Lodash version 4.17.5, which is a relatively recent version of the library. The `_.uniq()` function is used to remove duplicates from the array.

**Special JS feature/syntax:**

There are no specific JavaScript features or syntaxes being tested in this benchmark. Both approaches rely on standard JavaScript concepts like arrays and functions.

**Other alternatives:**

If you're interested in exploring alternative methods for removing duplicates, here are a few options:

1. **Array.prototype.filter()**: You can use the `filter()` method to remove duplicates from an array by creating a new array with only the unique elements.
2. **Reduce()**: Another approach is to use the `reduce()` method to iterate over the array and accumulate a set of unique values.
3. **Using a data structure like a Set**: You can convert the array to a Set, which automatically removes duplicates, and then convert it back to an array.

Keep in mind that these alternatives may have varying performance characteristics depending on the specific use case.

For reference, here's some sample code for each of these alternative approaches:

```javascript
// Array.prototype.filter()
const myarr = [2, 2, 4, 5, 6, 3, 5, 3, 6, 2, 4, 6, 7, 5, 6, 34, 5, 3, 56, 34, 45, 34, 53, 5, 435, 24, 5, 345, 5, 453, 45];
const filteredarr = myarr.filter((value, index, self) => self.indexOf(value) === index);
// ...

// Reduce()
const uniquearr = [...myarr.reduce((acc, value) => {
  if (!acc.has(value)) acc.add(value);
  return acc;
}, new Set())];

// Using a data structure like a Set
const myset = new Set(myarr);
const uniquearr = Array.from(myset);
```

Related benchmarks:

Lodash vs Set Spread (version: 0)

Comparing performance of: Lodash vs Set Spread

Created: 3 years ago by: Guest

Jump to the latest result

Lodash

Set Spread

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):