Benchmark: Lodash max vs Math.max 2

HTML Preparation code:


<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/3.10.1/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 < 12000; i++){
  arr.push({value:getRandomInt(10000)});
}

Tests:

_.max
_.max(arr);
Math.max
Math.max(...arr)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
_.max
Math.max

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):

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark definition and test cases to understand what is being tested, compared, and the pros and cons of different approaches.

**Benchmark Definition:**

The benchmark defines two test cases:

1. `_.max(arr);` - This line uses the Lodash library (`_`) to find the maximum value in an array `arr`.
2. `Math.max(...arr);` - This line uses the built-in JavaScript `Math.max()` function with the spread operator (`...`) to find the maximum value in the same array `arr`.

**Script Preparation Code:**

The script preparation code generates a large array of 12,000 objects, each containing a random integer value between 0 and 10,000. This array is stored in the `arr` variable.

**Html Preparation Code:**

The HTML preparation code includes a link to include the Lodash library (`lodash.min.js`) in the benchmark.

**What is being tested?**

In this benchmark, we are testing two approaches:

1. Using the Lodash library's `_max()` function.
2. Using the built-in JavaScript `Math.max()` function with the spread operator.

**Options compared:**

The two options are compared in terms of execution time, which is measured as executions per second.

**Pros and Cons of different approaches:**

1. **Lodash `_max()`**: This approach uses a dedicated library to perform the maximum value calculation. Pros:
	* May be optimized for performance.
	* Can provide better code readability and maintainability due to its abstraction layer.
Cons:
	* Requires including an additional library, which can add overhead.
	* May not be as efficient as native JavaScript implementation.
2. **Built-in JavaScript `Math.max()`**: This approach uses the built-in JavaScript function for maximum value calculation. Pros:
	* Native performance optimization.
	* No additional library overhead.
Cons:
	* May require more complex code to implement, especially for non-standard use cases.

**Library: Lodash**

Lodash is a popular utility library for JavaScript that provides various functions for tasks like array manipulation, object creation, and more. In this benchmark, the `_max()` function from Lodash is used to find the maximum value in an array. The purpose of Lodash is to provide a convenient and efficient way to perform common programming tasks.

**Special JS feature or syntax:**

There is no special JavaScript feature or syntax being tested in this benchmark. Both test cases rely on standard JavaScript features like arrays, functions, and the spread operator.

**Other alternatives:**

If you wanted to compare other approaches for finding the maximum value in an array, some possible alternatives could be:

* Using a custom implementation with native JavaScript functions (e.g., `for` loop or recursion).
* Using other libraries or frameworks that provide similar functionality (e.g., AngularJS or React).

However, these alternatives are not included in this benchmark.

In conclusion, the Lodash `_max()` function and the built-in JavaScript `Math.max()` function are compared to determine which approach is more efficient for finding the maximum value in an array.

Related benchmarks:

Lodash max vs Math.max 2 (version: 0)

Comparing performance of: _.max vs Math.max

Created: 4 years ago by: Guest

Jump to the latest result

_.max

Math.max

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):