Benchmark: Native ES6 filter vs Lodash filter

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.11/lodash.min.js"></script>

Script Preparation code:

var total = 1000000;
var data = [];
for (var i = 0; i < total; i++) {
  data.push({
    transaction_type: !!(i % 2) ? 'allocation' : 'deallocation'
  });
}

Tests:

Native ES6 filter
data.filter((entry) => entry.transaction_type === 'allocation');
Lodash filter
_.filter(data, ['transaction_type', 'allocation']);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Native ES6 filter
Lodash filter

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 break down the benchmark test case.

**What is being tested?**

The benchmark measures the performance of two different approaches to filtering an array: one using the native ES6 `filter` method and the other using the Lodash library's `filter` function. The test case generates a large array of objects with a "transaction_type" property, where half of the elements have a value of `'allocation'`.

**Options compared**

The two options being compared are:

1. **Native ES6 filter**: This method uses the built-in `filter` function provided by JavaScript engines to filter the array.
2. **Lodash filter**: This method uses the Lodash library's `filter` function, which provides a more concise syntax and possibly optimized performance.

**Pros and cons of each approach**

1. **Native ES6 filter**
	* Pros:
		+ Lightweight and easy to use
		+ Built-in to JavaScript engines, so no external dependencies are required
	* Cons:
		+ May have less optimized performance compared to using a library like Lodash
		+ Requires understanding of the `filter` function syntax
2. **Lodash filter**
	* Pros:
		+ Can be more concise and readable, especially for complex filtering logic
		+ May provide better performance due to optimization by the Lodash team
	* Cons:
		+ Requires an external dependency (the Lodash library)
		+ May have a slightly higher memory footprint

**Library used**

The test case uses the Lodash library, which is a popular JavaScript utility library that provides a wide range of functions for tasks such as filtering, mapping, and reducing arrays.

**Special JS feature or syntax**

There are no special JavaScript features or syntax mentioned in this benchmark test case. It only involves standard JavaScript functions and syntax.

**Other alternatives**

If you wanted to use alternative approaches to filtering an array, some options could include:

1. Using the `Array.prototype.reduce()` method to filter the array
2. Using a custom implementation of filtering using loops and conditional statements
3. Using other libraries or frameworks that provide optimized filtering functions (e.g., React's `useFilter` hook)

In general, when choosing an approach to filtering an array, consider factors such as performance, readability, and maintainability, as well as any specific requirements or constraints of your project.

As for the benchmark results provided, they show that the native ES6 filter has a slightly higher execution rate (81.55 executions per second) compared to the Lodash filter (76.85 executions per second), indicating that the native implementation may be faster in this case. However, it's worth noting that these results can vary depending on the specific use case and hardware configuration.

Related benchmarks:

Native ES6 filter vs Lodash filter (version: 0)

Comparing performance of: Native ES6 filter vs Lodash filter

Created: 6 years ago by: Guest

Jump to the latest result

Native ES6 filter

Lodash filter

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):