Benchmark: lodash vs arr - MeasureThat.net

HTML Preparation code:

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

Script Preparation code:

var arr = [
    {
        "id": 3,
        "name": "Поездка с животным",
        "desc": "",
        "order_by": 9,
        "disabled": "0"
    },
    {
        "id": 4,
        "name": "Машина без брендирования",
        "desc": "",
        "order_by": 2,
        "disabled": "0"
    },
    {
        "id": 9,
        "name": "Брендированная (зелёная) машина",
        "desc": "",
        "order_by": 1,
        "disabled": "0"
    },
    {
        "id": 12,
        "name": "Квитанция об оплате",
        "desc": "",
        "order_by": 6,
        "disabled": "0"
    },
    {
        "id": 15,
        "name": "Проезд по КАД",
        "desc": "",
        "order_by": 11,
        "disabled": "0"
    },
    {
        "id": 16,
        "name": "Проезд по КАД через Кронштадт",
        "desc": "",
        "order_by": 12,
        "disabled": "0"
    },
    {
        "id": 17,
        "name": "Молчаливый водитель",
        "desc": "",
        "order_by": 10,
        "disabled": "0"
    },
    {
        "id": 19,
        "name": "Деликатное вождение",
        "desc": "",
        "order_by": 7,
        "disabled": "0"
    },
    {
        "id": 38,
        "name": "Данные для пропуска",
        "desc": "",
        "order_by": 36,
        "disabled": "0"
    },
    {
        "id": 95,
        "name": "Помощь водителя",
        "desc": "",
        "order_by": 32,
        "disabled": "0"
    },
    {
        "id": 98,
        "name": "Экспедирование",
        "desc": "",
        "order_by": 35,
        "disabled": "0"
    },
    {
        "id": 100,
        "name": "Страховка груза",
        "desc": "",
        "order_by": 0,
        "disabled": "0"
    },
    {
        "id": 101,
        "name": "Упаковка XS",
        "desc": "1 стрейч (2кг)",
        "order_by": 37,
        "disabled": "0"
    }
]

Tests:

sortBy(arr, "order_by")
_.sortBy(arr, "order_by");
arr sort
arr.sort((a, b) =>Number.parseInt(a.order_by) - Number.parseInt(b.order_by));

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
sortBy(arr, "order_by")
arr sort

Fastest: N/A

Slowest: N/A

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

LLMs can make mistakes. Check important info.

I'll do my best to explain the benchmark and its results.

**Benchmark Overview**

The benchmark measures the performance of two approaches for sorting an array of objects:

1. Using Lodash's `sortBy` function with a custom compare function.
2. Implementing a simple sorting algorithm using the `Array.sort()` method.

**Lodash `sortBy` Approach**

In this approach, the `sortBy` function is used to sort the `arr` array based on the `order_by` property of each object. The custom compare function is used to determine the order of two objects in the sorted array.

The Lodash `sortBy` function is a utility function that takes an array and a compare function as input. It returns a new sorted array based on the comparison function. In this case, the comparison function is simply returning the difference between the `order_by` values of two objects.

**Array.sort() Approach**

In this approach, the `Array.sort()` method is used to sort the `arr` array. The sorting algorithm used by the browser's JavaScript engine is not explicitly specified in the benchmark results. However, it is likely that the V8 JavaScript engine (used by Chrome) uses a variation of the merge sort or insertion sort algorithm.

**Comparison**

The two approaches have different performance characteristics:

* Lodash `sortBy` approach:
	+ Pros: More flexible and customizable sorting order.
	+ Cons: May have overhead due to the use of a separate library.
* Array.sort() approach:
	+ Pros: Fast and lightweight, with minimal overhead.
	+ Cons: Less flexible and customizable sorting order.

**Device-Specific Optimizations**

The benchmark results show that both approaches are executed at a high rate on Chrome 97 on desktop devices. However, the Lodash `sortBy` approach has slightly higher execution rates than the Array.sort() approach. It is likely that the browser's JavaScript engine has optimized the sorting algorithm for this specific use case.

**Other Considerations**

There are other factors to consider when evaluating the performance of these two approaches:

* Memory usage: The Lodash library may have a larger memory footprint than the built-in `Array` object.
* Code size: The Lodash `sortBy` function is typically larger and more complex than the simple sorting algorithm used by Array.sort().
* Compatibility: The Lodash library may not be compatible with older browsers or environments.

**Alternatives**

If you need to sort an array of objects, other alternatives include:

* Using a different JavaScript library, such as Moment.js for date sorting.
* Implementing a custom sorting algorithm using a language like C++ or Rust.
* Using a specialized sorting library, such as QuickSort or Merge Sort.

Latest run results:

Run details: (Test run date: 2 years ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/97.0.4692.99 Safari/537.36

Browser/OS: Chrome 97 on Windows

View result in a separate tab

Test name	Executions per second
sortBy(arr, "order_by")	479538.6 Ops/sec
arr sort	291705.2 Ops/sec

Related benchmarks:

lodash vs arr (version: 0)

Comparing performance of: sortBy(arr, "order_by") vs arr sort

Created: 2 years ago by: Guest

Jump to the latest result

sortBy(arr, "order_by")

arr sort

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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