Benchmark: lodash groupBy vs Array.reduce grouping

HTML Preparation code:

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

Script Preparation code:

var max2 = 100000;

var data = [];
for (var i = 0; i <= max2; i++) { data.push({ id: i }); }

Tests:

Lodash
_.groupBy(data, ({ id }) => id)
Native
data.reduce((acc, item) => { // Group initialization if (!acc[item.id]) { acc[item.id] = []; } // Grouping acc[item.id].push(item); return acc; }, {});

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lodash
Native

Fastest: N/A

Slowest: N/A

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

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Let's dive into the explanation of the benchmark.

**Benchmark Overview**

The benchmark is designed to compare two approaches for grouping data: using Lodash's `groupBy` function versus using native JavaScript's `reduce` method with grouping.

**Options Compared**

There are two options being compared:

1. **Lodash's `groupBy`**: This approach uses the Lodash library, a popular utility library for JavaScript, to group the data.
2. **Native JavaScript's `reduce`**: This approach uses native JavaScript's built-in `reduce` method to group the data.

**Pros and Cons of Each Approach**

### Lodash's `groupBy`

Pros:

* Easier to read and maintain due to its concise API
* Less error-prone, as it handles edge cases for you
* Faster execution time, since it uses a specialized algorithm optimized for grouping

Cons:

* Adds an external library dependency, which may not be desirable for all projects
* May have a higher memory footprint due to the library's overhead

### Native JavaScript's `reduce`

Pros:

* No external dependencies, making it suitable for projects with strict licensing requirements
* Can be more lightweight and efficient in terms of memory usage

Cons:

* Requires more code and is harder to read due to its verbose nature
* More prone to errors, as the grouping logic needs to be carefully implemented

**Library: Lodash**

Lodash is a popular JavaScript library that provides a collection of utility functions for tasks such as data manipulation, string manipulation, and functional programming. The `groupBy` function is one of its most commonly used features, allowing you to group arrays by a specified property.

In this benchmark, Lodash's `groupBy` function is used to group the data array based on the `id` property.

**Special JS Feature: Arrow Functions**

The `Benchmark Definition` JSON uses arrow functions (`({ id }) => id`) for grouping. Arrow functions are a shorthand syntax introduced in ECMAScript 2015 (ES6) that allows you to define small, one-line functions without the `function` keyword. They provide a more concise and readable way of writing functions.

In this benchmark, the arrow function is used as a callback function within the `groupBy` method, allowing for a more concise definition of the grouping logic.

**Other Alternatives**

If you're interested in exploring other alternatives to Lodash's `groupBy`, here are some options:

* **Array.prototype.filter()`: You can use `filter()` with an arrow function to achieve similar results.
* **Array.prototype.reduce()`: As mentioned earlier, native JavaScript's `reduce()` method can be used for grouping.
* **D3.js**: A popular data visualization library that provides a `groupBy` function as part of its API.

Keep in mind that each alternative has its own trade-offs and may not be suitable for all use cases.

Related benchmarks:

lodash groupBy vs Array.reduce grouping (version: 0)

Comparing performance of: Lodash vs Native

Created: 3 years ago by: Registered User

Jump to the latest result

Lodash

Native

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):