Benchmark: Lodash maxBy vs Native

HTML Preparation code:

<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.21/lodash.min.js'></script>

Script Preparation code:

var data = [{ value: 6 }, { value: 2 }, { value: 4 }]

Tests:

Lodash
var maxItem = _.maxBy(data, 'value')
Native
var maxItem = data.reduce(function(a, b) { return a.value >= b.value ? a : b }, {})

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/124.0.0.0 Safari/537.36

Browser/OS: Chrome 124 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
Lodash	7492871.5 Ops/sec
Native	23092700.0 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 benchmark and explain what's being tested.

**Overview**

The benchmark compares the performance of two approaches to find the maximum item in an array:

1. Using Lodash's `maxBy` function, which returns the element with the maximum value in a specified property.
2. Implementing the same logic using the built-in `reduce` method and comparison operators.

**Options being compared**

The two options are:

1. **Lodash's `maxBy`**: This is a utility function from the Lodash library that provides a concise way to find the maximum item in an array based on a specific property.
2. **Native implementation using `reduce`**: This approach uses the built-in `reduce` method and comparison operators to find the maximum item in the array.

**Pros and Cons of each approach**

1. **Lodash's `maxBy`**:
	* Pros:
		+ Concise and readable code
		+ Handles arrays with varying lengths and data types
	* Cons:
		+ Requires importing an external library (Lodash)
		+ May have a larger overhead due to the addition of another dependency
2. **Native implementation using `reduce`**:
	* Pros:
		+ No additional dependencies required
		+ Can be more efficient since it uses built-in methods
	* Cons:
		+ Code can become more complex and harder to read
		+ May not handle edge cases as elegantly

**Library used: Lodash**

Lodash is a popular JavaScript utility library that provides a wide range of functional programming helpers. The `maxBy` function is one of its many useful tools for data processing and manipulation.

**Special JS feature or syntax**

There are no special features or syntaxes mentioned in this benchmark. Both approaches use standard JavaScript language features, such as arrays, functions, and comparison operators.

**Other alternatives**

If you wanted to implement the `maxBy` function from scratch without using Lodash, you could consider using other JavaScript libraries like Underscore.js or creating your own implementation using recursion or a different algorithm. Alternatively, if you want to use only built-in methods, you can explore approaches like sorting the array and taking the first element (which would have the maximum value).

For those interested in exploring alternative implementations, here's an example of how you could implement `maxBy` from scratch:
```javascript
function maxBy(arr, key) {
  return arr.reduce((max, current) => {
    if (current[key] > max[key]) return current;
    return max;
  }, { value: -Infinity });
}
```
Keep in mind that this implementation assumes the array has at least one element with a maximum value.

Related benchmarks:

Lodash maxBy vs Native (version: 0)

Comparing performance of: Lodash vs Native

Created: 3 years 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):