Benchmark: lodash groupBy vs Array.reduce 100

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 = 100;

var data = [];
for (var i = 0; i <= max2; i++) { data.push({ id: i }); }

Tests:

Lodash
_.groupBy(data, ({ id }) => id)
Native
data.reduce((acc, item) => { acc[item.id] = 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

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 provided benchmark and explain what's being tested.

**Benchmark Overview**

The benchmark measures the performance of two approaches to group an array of objects by a common property: `_.groupBy` from the Lodash library, and `Array.reduce`. The benchmark is designed to test how these two methods compare in terms of execution speed on a Linux desktop with Chrome 105 browser.

**Test Cases**

There are two test cases:

1. **Lodash ( _.groupBy )**: This test case uses the `_groupBy` function from Lodash to group the array by the `id` property.
2. **Native ( Array.reduce )**: This test case uses the `Array.reduce` method to achieve the same grouping as in the Lodash test.

**Library: Lodash**

Lodash is a popular JavaScript utility library that provides a wide range of functions for tasks such as data manipulation, string manipulation, and more. The `_groupBy` function takes an array and a callback function as input, where the callback function defines the property to group by.

In this benchmark, the `_groupBy` function is used to group the array of objects by their `id` property.

**Special JS Feature/Syntax**

None.

**Pros and Cons of Each Approach**

* **Lodash ( _.groupBy )**: Pros:
	+ More concise and readable code
	+ Handles edge cases, such as grouping empty arrays or null values
* Cons:
	+ Adds an external dependency (Lodash)
	+ May have a higher overhead due to the addition of another library
* **Native ( Array.reduce )**: Pros:
	+ No external dependencies
	+ More control over implementation details
* Cons:
	+ Requires more code and is less concise
	+ May require additional logic for edge cases

**Other Considerations**

* The benchmark only measures execution speed, not memory usage or other performance metrics.
* The test data consists of an array with `max2` number of elements (100), which may be too small to capture the full range of possible performance variations.

**Alternatives**

If you want to write your own group-by function without using a library like Lodash, you can implement it using other methods, such as:

* Using `Object.keys()` and `reduce()`
* Using `Array.prototype.forEach()`
* Implementing a custom loop

Alternatively, if you prefer the conciseness of Lodash's `_groupBy` function but still want to avoid its external dependency, you could consider implementing your own version using pure JavaScript functions.

Overall, this benchmark provides a useful comparison between two common approaches to group-by functionality in JavaScript.

Related benchmarks:

lodash groupBy vs Array.reduce 100 (version: 0)

Comparing performance of: Lodash vs Native

Created: 3 years ago by: Guest

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):