Benchmark: lodash forEach vs reduce

HTML Preparation code:

<script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.11/lodash.core.js"></script>

Script Preparation code:

var users = [
  { 'user': 'joey',  'age': 32 },
  { 'user': 'ross',    'age': 41 },
  { 'user': 'chandler', 'age': 39 }
]

Tests:

reduce
var x = _.reduce(users, function (sum, o) { return sum+o.age; })
forEach
var x = 0; _.forEach(users, function (o) {x+o.age; })

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
reduce
forEach

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 on MeasureThat.net.

**Overview**

The website allows users to create and run JavaScript microbenchmarks, comparing different approaches to achieve similar results. In this case, we have two benchmark definitions:

1. `lodash forEach vs reduce`
2. `reduce` and `forEach` individually

Our focus will be on the first benchmark: `lodash forEach vs reduce`.

**Tested Options**

The provided JSON represents a benchmark that compares two options:

* **Lodash's `forEach` function**: This is a utility function from the Lodash library, which iterates over an array (or any other iterable) and executes a callback function for each item.
* **Built-in JavaScript `reduce` function**: This is a native function in JavaScript that applies a reduction operation to an array, aggregating values as it goes.

**Pros and Cons of Each Approach**

### Lodash's `forEach`

* Pros:
	+ Easy to use: The `forEach` function has a simple syntax, making it easy to understand and implement.
	+ Fast: Lodash is optimized for performance, so `forEach` should be relatively fast.
* Cons:
	+ Additional dependency: To use `forEach`, you need to include the Lodash library in your project.
	+ Overhead: While fast, there's still some overhead due to the function call and context object creation.

### Built-in JavaScript `reduce`

* Pros:
	+ No additional dependencies: You don't need any external libraries to use `reduce`.
	+ Native performance: Since it's a built-in function, you can expect optimal performance.
* Cons:
	+ Steeper learning curve: Understanding the `reduce` algorithm and its nuances might take some time.
	+ Less intuitive syntax: The callback function is more verbose than Lodash's `forEach`.

**Other Considerations**

When deciding between these two approaches, consider the following:

* **Performance**: If you need blazing-fast performance, built-in JavaScript `reduce` might be a better choice. However, if you prioritize ease of use and don't mind including an external library, Lodash's `forEach` could be a good option.
* **Code readability**: Choose `reduce` if you want to write more concise code that clearly expresses the intention behind the aggregation operation.

**Library: Lodash**

Lodash is a popular JavaScript utility library created by Isaac Schlueter. It provides a large collection of functions for various tasks, including iteration, data manipulation, and functional programming. In this benchmark, `forEach` is used to iterate over an array and sum its elements.

The benchmark code uses the `lodash.core.js` version 4.17.11, which is an older version but still widely supported.

There are other alternatives to these two approaches, such as:

* **Array.prototype.forEach()**: This is a native JavaScript function that can be used instead of Lodash's `forEach`.
* **Closures and loops**: You could implement your own iterative loop or use closures to achieve the same result without relying on built-in functions.
* **Other libraries**: Other utility libraries like Underscore.js, Moment.js, or Ramda offer similar functionality to Lodash.

For this benchmark, we'll stick with the options provided in the JSON representation.

Related benchmarks:

lodash forEach vs reduce (version: 0)

var x = _.reduce(users, function (o) { return o.age < 40; }) console.log(x);

Comparing performance of: reduce vs forEach

Created: 6 years ago by: Guest

Jump to the latest result

reduce

forEach

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):