Benchmark: native find vs lodash _.groupBy

HTML Preparation code:

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

Script Preparation code:

var data = ['one', 'two', 'three']

Tests:

Native
data.reduce((r, v, i, a, k = v.length) => ((r[k] || (r[k] = [])).push(v), r), {})
Lodash
_.groupBy(data, 'length')

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:

No previous run results

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

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Let's dive into the world of JavaScript microbenchmarks and explore what's being tested in this specific benchmark.

**Benchmark Overview**

The provided JSON represents a JavaScript microbenchmark that compares two approaches: native array reduction and using the popular library Lodash for grouping data. The test is designed to measure which approach is faster.

**Script Preparation Code**

The script preparation code defines an array `data` with three elements: `'one'`, `'two'`, and `'three'`. This array will be used as input for both benchmark definitions.

**Html Preparation Code**

The HTML preparation code includes a script tag that loads the Lodash library, version 4.17.5, from a CDN. This library is used in one of the test cases to provide its own implementation of grouping data.

**Benchmark Definitions**

There are two benchmark definitions:

1. **Native**: This definition uses the native JavaScript `reduce()` method to group the elements in the `data` array by their length. The first argument to `reduce()` is an initial value `{}`, which will be populated with grouped values during the iteration.
2. **Lodash**: This definition uses the Lodash library's `groupBy()` function to achieve the same result as the native approach.

**Options Compared**

Both benchmark definitions are comparing two options:

* Native array reduction using JavaScript built-in methods
* Using the Lodash library for grouping data

**Pros and Cons of Each Approach**

1. **Native Array Reduction**
	* Pros:
		+ Faster execution time due to optimized JavaScript engine performance.
		+ Minimal dependencies, making it a lightweight solution.
		+ Easy to implement and understand.
	* Cons:
		+ May not be as concise or readable for more complex operations.
2. **Lodash GroupBy**
	* Pros:
		+ Provides a concise and expressive way to group data using the familiar syntax of Lodash functions.
		+ Often used in production code, making it a well-tested and reliable option.
	* Cons:
		+ Requires an additional library dependency, which may impact loading times or bundle size.
		+ May incur a performance overhead due to the added complexity.

**Library: Lodash**

Lodash is a popular JavaScript utility library that provides a wide range of functions for tasks such as array manipulation, object transformation, and event handling. The `groupBy()` function is one of its most useful tools, allowing developers to easily group data by a specific key or attribute.

**Special JS Feature/ Syntax: None**

There are no special JavaScript features or syntax used in this benchmark that would require additional explanation.

**Other Alternatives**

If you prefer not to use Lodash for grouping data, other alternatives include:

1. **Array.prototype.reduce()**: As mentioned earlier, the native JavaScript `reduce()` method can be used to achieve group-by functionality.
2. **Manual Looping**: You could implement a manual loop using `for` or `forEach()` to iterate over the array and group elements based on their length.
3. **Other Libraries**: Depending on your specific requirements, you might consider using other libraries like Underscore.js, Ramda, or Fastify's built-in grouping functionality.

Keep in mind that each alternative has its own trade-offs, and the best choice depends on your project's specific needs, performance requirements, and personal preferences.

Related benchmarks:

native find vs lodash _.groupBy (version: 0)

Comparing performance of: Native vs Lodash

Created: 5 years ago by: Guest

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 llama3.2:3b, generated one year ago):