Benchmark: Lodash vs. Native (find)

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.21/lodash.min.js"></script>

Script Preparation code:

const limit = 10000000;
var array = [];

for (let i = 0; i < limit; i++) {
  array.push(i);
}

function getRandomIndex() {
  return Math.floor(Math.random() * array.length)
}

var element = array[getRandomIndex()];

Tests:

Native
array.find(x => x === element);
Lodash
_.find(array, (x) => x === element);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Native
Lodash

Fastest: N/A

Slowest: N/A

Latest run results:

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Autogenerated LLM Summary (model llama3.1:latest, generated one year ago):

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Let's dive into the details of this benchmark.

**Benchmark Description**

The benchmark compares the performance of two approaches for finding an element in an array: using native JavaScript (`array.find()`) versus using the Lodash library (`_.find()`).

**Test Case 1: Native JavaScript (array.find())**

In this test case, we use the native `find()` method on the array. The benchmark script creates a large array of 10 million elements and pushes them to an array. A random index is then used to access an element in the array. The `find()` method is called on the array with a callback function that checks if the current element matches the target element.

```javascript
array.find(x => x === element);
```

**Test Case 2: Lodash ( _.find() )**

In this test case, we use the Lodash library's `_.find()` method to find the element in the array. The benchmark script includes a reference to the Lodash library via a CDN URL.

```javascript
_.find(array, (x) => x === element);
```

**What is Lodash?**

Lodash is a popular JavaScript utility library that provides a wide range of functions for tasks like array manipulation, object manipulation, string manipulation, and more. In this benchmark, we use the `_.find()` method, which is similar to the native `find()` method but with some additional features.

**What are the pros/cons of these approaches?**

Here are some key points:

* **Native JavaScript (array.find()):**
	+ Pros: Built-in to modern browsers, no external library dependency.
	+ Cons: May be slower due to JavaScript overhead and engine limitations.
* **Lodash ( _.find() ):**
	+ Pros: Often faster than native JavaScript implementations, thanks to optimized code and caching. Can also provide additional features like memoization.
	+ Cons: Requires an external library dependency, which may add to the overall bundle size.

**Other Considerations**

When deciding between these approaches:

* **Performance-critical code:** If you're dealing with performance-critical code that requires every possible optimization, using Lodash might be a good choice. However, if you can afford to use native JavaScript and don't need additional features, it's often sufficient.
* **Code simplicity:** If your code is relatively simple and doesn't require the advanced features provided by Lodash, sticking with native JavaScript might be easier to understand and maintain.

**Other Alternatives**

If neither of these approaches suits your needs:

* **Use a more specialized library**: Depending on your use case, you may find other libraries that provide more optimized implementations for specific tasks. For example, `find()` is also available in the `lodash.find` method.
* **Implement your own solution**: If performance-critical code demands every possible optimization and Lodash doesn't meet your needs, consider implementing your own solution using native JavaScript or a custom library.

Now that we've gone through this detailed explanation, you should have a good understanding of what's being tested in this benchmark!

Related benchmarks:

Lodash vs. Native (find) (version: 1)

Comparing performance of: Native vs Lodash

Created: 5 years ago by: Registered User

Jump to the latest result

Native

Lodash

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

Autogenerated LLM Summary (model llama3.1:latest, generated one year ago):