Benchmark: Lodash maxBy vs reduce

HTML Preparation code:

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

Script Preparation code:

function getRandomInt(max) {
  return Math.floor(Math.random() * Math.floor(max));
}

var arr = [];
for(var i = 0; i < 100000; i++){
  arr.push({value:getRandomInt(100)});
}

Tests:

_.maxBy
_.maxBy(arr,"value");
reduce
arr.reduce((prev, next) => next.value > prev.value ? next : prev);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
_.maxBy
reduce

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 9 months ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/138.0.0.0 Safari/537.36

Browser/OS: Chrome 138 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
_.maxBy	1322.0 Ops/sec
reduce	1547.1 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 JSON benchmark data and explain what's being tested, compared, and other considerations.

**Benchmark Definition**

The benchmark is comparing two approaches to find the maximum element in an array:

1. `_.maxBy(arr, "value")`: This uses the Lodash library (`_`) to find the element with the maximum value in the array. The second argument `"value"` specifies that we want to compare the elements based on their `value` property.
2. `arr.reduce((prev, next) => next.value > prev.value ? next : prev)`: This is a native JavaScript approach using the `reduce()` method to iterate over the array and find the maximum element.

**Options Compared**

The two approaches are being compared in terms of performance (measured by executions per second). The Lodash library's `maxBy()` function is optimized for performance, while the native `reduce()` method can be slower due to its iterative nature.

**Pros and Cons**

* **Lodash's `maxBy()`**: Pros:
	+ Optimized for performance
	+ Easy to use with a simple API
* Cons:
	+ Requires an additional library download (lodash)
	+ May not be as familiar to developers without experience with Lodash
* **Native `reduce()` method**:
	+ Pros:
		- No additional library required
		- Familiar to most JavaScript developers
	+ Cons:
		- Can be slower due to its iterative nature
		- Requires more code and a better understanding of the `reduce()` method

**Library: Lodash**

Lodash is a popular utility library for JavaScript that provides a wide range of functions for tasks like array manipulation, string manipulation, and functional programming. In this case, `maxBy` is used to find the element with the maximum value in an array.

**Other Considerations**

* **Data Generation**: The benchmark generates an array of 100,000 random objects with a `value` property using the `getRandomInt()` function. This ensures that both approaches are tested on a large dataset.
* **Test Environment**: The test is run on a Chrome browser on Linux desktop platforms.

**Alternatives**

If you're interested in exploring alternative approaches or libraries for this specific use case, here are some options:

1. Using `Math.max()` with the spread operator (`...`): `Math.max(...arr.map(obj => obj.value))`
2. Using `Array.prototype.map()` and `Array.prototype.reduce()`: `arr.map(obj => obj.value).reduce((max, current) => max > current ? max : current)`
3. Using a library like jQuery (for older browsers that don't support Lodash or native JavaScript methods)

These alternatives might not be as efficient as the original approaches but can provide a different perspective on solving the problem.

Related benchmarks:

Lodash maxBy vs reduce (version: 0)

Comparing performance of: _.maxBy vs reduce

Created: 4 years ago by: Guest

Jump to the latest result

_.maxBy

reduce

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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