Benchmark: orderBy vs .order x2

HTML Preparation code:

<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.15/lodash.min.js'></script>

Script Preparation code:

var arr = [{text: 'a'},{text: 'b'},{text: 'c'},{text: 'd'},{text: 'e'},{text: 'f'}];

Tests:

Lodash
_.orderBy(arr, 'text');
Vainilla
arr.sort((a,b) => { if (a.date > b.date) { return -1; } else if (a.date < b.date) { return 1; } else { return 0; } });

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lodash
Vainilla

Fastest: N/A

Slowest: N/A

Latest 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 MeasureThat.net and analyze the provided benchmark.

**Benchmark Definition**

The benchmark is defined by a JSON object with the following properties:

* `Name`: The name of the benchmark, which is "orderBy vs .order x2".
* `Description`: An empty string indicating no description for this benchmark.
* `Script Preparation Code`: A JavaScript code snippet that creates an array `arr` containing six objects with a `text` property. This code will be executed before each test case to set up the benchmark.
* `Html Preparation Code`: A link to include the Lodash library, which is used in one of the test cases.

**Test Cases**

There are two individual test cases:

1. **Lodash**
The benchmark definition for this test case is: `_.orderBy(arr, 'text');`. This code snippet uses the `lodash` library to sort the array `arr` based on the `text` property.
2. **Vanilla (Vainilla)**
The benchmark definition for this test case is: `arr.sort((a,b) => {\r\n\tif (a.date > b.date) {\r\n      return -1;\r\n    } else if (a.date < b.date) {\r\n      return 1;\r\n    } else {\r\n      return 0;\r\n    }\r\n});`. This code snippet sorts the array `arr` using a custom sorting function that compares two objects based on their `date` property.

**Options Compared**

In this benchmark, two approaches are compared:

* **Lodash**: Uses the `lodash` library to sort the array.
* **Vanilla (Vainilla)**: Sorts the array using a custom JavaScript function without any external libraries.

**Pros and Cons of Each Approach**

1. **Lodash**:
	* Pros:
		+ Faster execution times due to optimized sorting algorithms implemented in Lodash.
		+ Easier to maintain and update sorting logic, as it's encapsulated in a library.
	* Cons:
		+ Adds an external dependency (the Lodash library) that may not be desirable for some use cases.
2. **Vanilla**:
	* Pros:
		+ No additional dependencies or overhead, making it suitable for smaller projects or prototyping.
		+ Allows for more control over the sorting algorithm and its implementation.
	* Cons:
		+ May have slower execution times due to custom implementation of the sorting function.
		+ Requires more maintenance effort to keep the sorting logic up-to-date.

**Library: Lodash**

Lodash is a popular JavaScript library that provides a wide range of utility functions, including sorting algorithms. It's commonly used for its convenience and performance in tasks like array manipulation, string processing, and more.

**Special JS Feature/Syntax**

There doesn't seem to be any special JavaScript features or syntax being used in this benchmark. The code snippets are standard JavaScript with no proprietary or experimental features.

**Other Alternatives**

For sorting arrays, other alternatives besides Lodash and vanilla implementation include:

* Using the built-in `Array.prototype.sort()` method.
* Utilizing a library like jQuery, which provides a `sort()` function.
* Implementing a custom sorting algorithm using algorithms like merge sort, quick sort, or heap sort.

Keep in mind that the choice of sorting approach depends on the specific requirements of your project, such as performance, ease of maintenance, and compatibility with other libraries or frameworks.

Related benchmarks:

orderBy vs .order x2 (version: 0)

Comparing performance of: Lodash vs Vainilla

Created: 3 years ago by: Guest

Jump to the latest result

Lodash

Vainilla

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):