Benchmark: Group Lodash vs Group Reduce

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; // 100,000,000 (100 Million)

var data = [];
for (var i = 0; i <= max2; i++) { data.push({ id: i }); }

Tests:

GroupBy - Lodash
_.groupBy(data, ({ id }) => id)
GroupBy - Reduce Javascript
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
GroupBy - Lodash
GroupBy - Reduce Javascript

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 and explain what's being tested, compared, and considered.

**Benchmark Overview**

The benchmark compares two approaches for grouping data in JavaScript: `lodash`'s `groupBy` function and the built-in `reduce` method.

**Options Compared**

Two options are compared:

1. **Lodash's `groupBy`**: This is a utility function from the popular JavaScript library Lodash. It takes an array of objects as input and returns an object with grouped results.
2. **Built-in `reduce` method**: This is a standard JavaScript method that can be used to accumulate values in an array.

**Pros and Cons**

Here are some pros and cons of each approach:

* **Lodash's `groupBy`**:
	+ Pros:
		- Easy to use and concise syntax
		- Well-documented and widely used library
	+ Cons:
		- Adds additional dependency (Lodash) to the project
		- May not be suitable for small projects or personal use cases
* **Built-in `reduce` method**:
	+ Pros:
		- No additional dependency required
		- Highly customizable and flexible
	+ Cons:
		- Requires manual configuration of accumulator and callback functions
		- Can be more error-prone due to the complexity of the syntax

**Library: Lodash**

Lodash is a popular JavaScript library that provides a collection of high-quality, tested, and well-maintained functions for tasks like data manipulation, string manipulation, and functional programming. The `groupBy` function is one of its most useful utilities.

**Special JS Feature/Syntax: None**

This benchmark does not use any special JavaScript features or syntax beyond what's typically available in modern browsers.

**Other Alternatives**

For grouping data, other alternatives to Lodash's `groupBy` could include:

* **Array.prototype.reduce()**: The built-in `reduce` method can be used with some creativity and manual configuration.
* **Underscore.js**: Another popular JavaScript library that provides a similar `groupBy` function.
* **ES6 Map**: Some developers use the `Map` data structure to group data, although this approach requires manual management of keys.

In summary, the benchmark compares two approaches for grouping data: Lodash's `groupBy` and the built-in `reduce` method. The choice between these options depends on personal preference, project requirements, and dependency considerations.

Related benchmarks:

Group Lodash vs Group Reduce (version: 0)

Group Lodash vs Group Reduce

Comparing performance of: GroupBy - Lodash vs GroupBy - Reduce Javascript

Created: 5 years ago by: Guest

Jump to the latest result

GroupBy - Lodash

GroupBy - Reduce Javascript

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):