Benchmark: lodash groupBy vs Array.reduce group by 100k

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')
Native
data.reduce((acc, item) => { if (!acc[item.id]) { acc[item.id] = []; } 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

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36

Browser/OS: Chrome 126 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
Lodash	264.4 Ops/sec
Native	187.1 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the provided benchmarking setup and explain what's being tested, the options compared, their pros and cons, and other considerations.

**Benchmark Definition JSON**

The benchmark definition represents two test cases:

1. **Lodash**: The first test case uses Lodash's `groupBy` function to group an array of objects by their `id` property.
2. **Native**: The second test case uses the built-in `reduce` method on the native JavaScript array to achieve a similar grouping functionality.

**Options Compared**

The two options being compared are:

1. Using a third-party library (Lodash) for grouping data.
2. Utilizing the built-in `reduce` method of JavaScript arrays.

**Pros and Cons of Each Approach**

**Lodash:**

Pros:

* Easier to use, especially for complex grouping logic.
* Often provides additional features and optimizations out-of-the-box.
* Can be beneficial for developers who are not familiar with native JavaScript implementation.

Cons:

* Adds extra dependencies (Lodash) to the project.
* May introduce overhead due to library initialization and garbage collection.
* Less control over performance optimization techniques.

**Native `reduce` Method:**

Pros:

* Eliminates the need for an additional library dependency.
* Can be optimized by developers using specific techniques, such as memoization or caching.
* Provides direct access to native JavaScript engine's optimizations.

Cons:

* Requires a good understanding of the `reduce` method and its limitations.
* May require more manual effort to handle edge cases and complex grouping logic.
* Less "out-of-the-box" functionality compared to Lodash.

**Other Considerations**

* **Performance**: Both approaches have their strengths. Lodash provides optimized implementations for common use cases, while the native `reduce` method can be highly performant when optimized correctly.
* **Code Readability and Maintainability**: Using a library like Lodash can make code more readable, as it abstracts away some of the complexity. However, relying on external libraries can also introduce additional dependencies and potential issues.
* **Development Speed**: For developers who are familiar with JavaScript and its ecosystem, using the native `reduce` method might be faster than setting up and importing Lodash.

**Library: Lodash**

Lodash is a popular JavaScript library that provides a wide range of utility functions for tasks such as data manipulation, functional programming, and more. In this benchmark, Lodash's `groupBy` function is used to group the array by its `id` property.

**Special JS Feature or Syntax: None**

There are no special JavaScript features or syntax being tested in this benchmark. The focus is on comparing the performance of two grouping methods.

**Alternatives**

Other alternatives for grouping data include:

* **Array.prototype.forEach**: While not as efficient as `reduce`, `forEach` can be used to iterate over the array and perform group-by operations.
* **ES6 Map**: Maps are a more modern data structure in JavaScript that can be used to store key-value pairs, including groups of objects by their keys.
* **Other libraries**: Depending on the specific requirements, other libraries like Moment.js for date grouping or Immutable.js for immutable data structures might be suitable alternatives.

Keep in mind that each alternative has its strengths and weaknesses, and the choice ultimately depends on the project's specific needs and constraints.

Related benchmarks:

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

Comparing performance of: Lodash vs Native

Created: one year ago by: Guest

Jump to the latest result

Lodash

Native

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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