Benchmark: Lodash min vs Math.min findinex1

HTML Preparation code:


<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.7.11/lodash.min.js'></script>

Script Preparation code:

function getRandomInt(max) {
  return Math.floor(Math.random() * Math.floor(max));
}

var arr = [];
var min = 8;
for(var i = 0; i < 1000; i++){
  arr.push({value:getRandomInt(100)});
}

Tests:

_.min
_.min(arr);
Math.min
Math.min(...arr)
findIndex
arr.findIndex((v) => v < min)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
_.min
Math.min
findIndex

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.

**Overview of the Benchmark**

The provided JSON represents a JavaScript microbenchmarking test case, specifically designed to compare the performance of different approaches for finding the minimum value in an array. The test utilizes the `Lodash` library and measures the execution speed of three variants:

1. Using Lodash's `min` function
2. Using the built-in `Math.min` function
3. Using a custom implementation with `findIndex`

**Options Compared**

The benchmark compares three options:

### 1. Lodash's `min` Function

Lodash is a popular JavaScript utility library that provides various functions for common tasks, including array manipulation. The `min` function returns the smallest element in an array.

Pros:

* Well-documented and widely used
* Efficient implementation optimized for performance

Cons:

* Adds external dependency (Lodash)
* May introduce additional overhead due to library loading

### 2. Built-in `Math.min` Function

The built-in `Math.min` function returns the smallest of zero or more numbers.

Pros:

* No external dependencies required
* Low overhead and fast execution

Cons:

* May not be as efficient as optimized implementations
* Requires care when handling edge cases (e.g., empty arrays)

### 3. Custom Implementation with `findIndex`

The custom implementation uses the `findIndex` function to find the index of the smallest element in the array, then returns that index.

Pros:

* No external dependencies required
* Can be optimized for performance

Cons:

* May require additional logic and handling for edge cases
* Less readable and maintainable compared to Lodash's implementation

**Library: Lodash**

Lodash is a popular JavaScript library that provides various functions for common tasks, including array manipulation. The `min` function is part of the Lodash API.

Pros:

* Well-documented and widely used
* Efficient implementation optimized for performance

Cons:

* Adds external dependency (Lodash)
* May introduce additional overhead due to library loading

**Special JS Feature/Syntax**

The benchmark uses a special JavaScript feature called an " Immediately Invoked Function Expression" (IIFE) in the `getRandomInt` function. This syntax is used to create a function that is executed immediately after its definition.

Pros:

* Allows for concise and readable code
* Enables the use of JavaScript features like closures

Cons:

* May be unfamiliar to developers without experience with IIFEs or advanced JavaScript concepts

**Other Alternatives**

Alternative approaches to find the minimum value in an array include:

1. Using `reduce`: A more functional programming approach that iterates over the array and applies a reduction function to each element.
2. Using `every` and `some`: By using these functions with callback functions, you can create a custom implementation for finding the minimum value.
3. Using `forEach`: You could use `forEach` with a callback function to iterate over the array and find the minimum value.

However, these alternatives are not directly compared in this benchmarking test case.

Related benchmarks:

Lodash min vs Math.min findinex1 (version: 0)

Comparing performance of: _.min vs Math.min vs findIndex

Created: 6 years ago by: Guest

Jump to the latest result

_.min

Math.min

findIndex

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):