Benchmark: lodash groupBy vs Array.reduce 3

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 = 1000000; // 100,000,000 (100 Million)

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 benchmark and explain what is tested, compared options, pros and cons, and other considerations.

**Benchmark Definition**

The test case uses two different approaches to implement grouping data: Lodash's `groupBy` function and native JavaScript's `reduce` method. The script preparation code generates an array of 1 million objects with a unique `id` property.

**Options Compared**

The benchmark compares the performance of:

1. **Lodash's `groupBy`**: A popular utility library for functional programming in JavaScript.
2. **Native JavaScript's `reduce`**: A built-in method for reducing arrays to a single value.

**Pros and Cons**

**Lodash's `groupBy`:**

Pros:

* Highly optimized and tested by a large community
* Provides a simple, concise way to group data
* Reduces boilerplate code

Cons:

* Introduces an external dependency (the Lodash library)
* May have slower startup time due to the need to load the library
* Not as efficient as native JavaScript's `reduce` method for very large datasets

**Native JavaScript's `reduce`:**

Pros:

* No external dependencies or overhead
* Optimized for performance by Google and other browser vendors
* Can be more efficient than Lodash's `groupBy` for very large datasets

Cons:

* Requires a good understanding of the `reduce` method and its limitations
* May not be as concise or readable for some developers
* May have slower startup time due to the need to parse the code and execute it in the browser.

**Library: Lodash**

Lodash is a popular utility library for JavaScript that provides a wide range of functions for tasks such as string manipulation, array manipulation, and functional programming. The `groupBy` function is one of its most commonly used features, allowing developers to easily group data based on a specified property.

**Special JS feature or syntax: None**

There are no special JavaScript features or syntaxes being tested in this benchmark. Both Lodash's `groupBy` and native JavaScript's `reduce` methods use standard JavaScript concepts.

**Other Alternatives**

If you're interested in exploring alternative ways to group data, here are a few options:

1. **Array.prototype.reduce() with an object**: You can create an object to accumulate the results of each iteration and return it at the end.
2. **For...of loop**: You can use a for...of loop to iterate over the array and accumulate the results in an object.
3. **D3.js's `groupBy` function**: D3.js is a popular data visualization library that provides a `groupBy` function similar to Lodash's.
4. **Papaparse's `groupBy` function**: Papaparse is a library for parsing CSV and JSON files, which also includes a `groupBy` function.

Keep in mind that each of these alternatives has its own strengths and weaknesses, and may not be as optimized or widely tested as Lodash's `groupBy` function.

Related benchmarks:

lodash groupBy vs Array.reduce 3 (version: 0)

Comparing performance of: Lodash vs Native

Created: 5 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):