Benchmark: Lodash_4.17.21.sortBy vs .sort vs custom

HTML Preparation code:

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

Script Preparation code:

window.users = [
  { name: 'Ваня', level: '3' },
  { name: 'Саша', level: '1' },
  { name: 'Маша', level: '2' },
  { name: 'Ника', level: '3' },
  { name: 'Вера', level: '1' },
  { name: 'Саша', level: '2' },
  { name: 'Ваня', level: '2' }
];

window.sortBy = (key) => {
  return (a, b) => (a[key] > b[key]) ? 1 : ((b[key] > a[key]) ? -1 : 0);
};


function insertionSort(array, fieldName) {
  let { length } = array, items = [];
  let i, j, current;
  while (length--) {
    items[length] = array[length];
  }

  for (i = 1; i < length; i++) {
    current = items[i];
    j = i;
    while (j > 0 && getItem(items[j - 1], fieldName) > getItem(current, fieldName)) {
      items[j] = items[j - 1];
      j--;
    }
    items[j] = current;
  }
  return items;
}

function getItem(item, fieldName) {
  if (fieldName) {
    item = item[fieldName]
  }
  return item;
}

Tests:

Lo-Dash sortBy()
_.sortBy(users, 'name');
Vanilla sort()
users.sort(sortBy("name"));
Vanilla CUSTOM sort method
insertionSort(users, "name");

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lo-Dash sortBy()
Vanilla sort()
Vanilla CUSTOM sort method

Fastest: N/A

Slowest: N/A

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/124.0.0.0 Safari/537.36

Browser/OS: Chrome 124 on Windows

View result in a separate tab

Vanilla CUSTOM sort method

4.6M/s

Vanilla sort()

1.8M/s

Lo-Dash sortBy()

529K/s

View exact numbers

Test name	Executions per second
✓ Vanilla CUSTOM sort method	4,580,862 Ops/sec
Vanilla sort()	1,780,777 Ops/sec
Lo-Dash sortBy()	529,300 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, compared options, pros and cons of each approach, and other considerations.

**Benchmark Overview**

The provided JSON represents a JavaScript microbenchmarking test case on MeasureThat.net. The test compares three sorting algorithms:

1. `_.sortBy` from Lodash library
2. Vanilla JavaScript's built-in `sort()` method
3. A custom implementation using insertion sort

**What's being tested**

The benchmark tests the performance of each sorting algorithm on an array of objects, specifically when sorting by a "name" field.

**Options compared**

1. **Lodash's `_sortBy`**: A functional programming approach that takes a key function as an argument and returns a sorted array.
2. **Vanilla JavaScript's `sort()`**: A built-in method that sorts the array in-place using a compare function.
3. **Custom insertion sort**: An implementation of the insertion sort algorithm, which is a simple sorting algorithm with a time complexity of O(n^2).

**Pros and Cons**

1. **Lodash's `_sortBy`**:
	* Pros: Easy to use, concise code, and well-maintained library.
	* Cons: May have a higher memory overhead due to the creation of an intermediate array.
2. **Vanilla JavaScript's `sort()`**:
	* Pros: Built-in method, easy to understand, and fast for large datasets.
	* Cons: Requires a compare function, which can be error-prone if not implemented correctly.
3. **Custom insertion sort**:
	* Pros: Simple to implement, efficient for small datasets, and can be optimized for specific use cases.
	* Cons: Higher time complexity (O(n^2)) compared to other algorithms, making it less suitable for large datasets.

**Other considerations**

* The benchmark uses Chrome 124 as the test browser, which may not represent the entire user base.
* The test executes per second metric might not accurately reflect real-world performance, as it's a simplified measure that doesn't account for factors like garbage collection and other overheads.

**Library used - Lodash**

Lodash is a popular JavaScript library providing various utility functions, including sorting. `_sortBy` is a part of the Lodash collection and allows for easy and expressive sorting of arrays using a key function.

**Special JS feature/Syntax**

There are no special JavaScript features or syntaxes mentioned in this benchmark that would require any additional explanations.

**Alternatives**

Other sorting algorithms that could be included in this benchmark include:

* Quicksort
* Merge sort
* Heap sort
* Radix sort (for string-based data)

However, these alternatives might not provide significant enough performance differences to justify the added complexity and might not be as easily comparable to Lodash's `_sortBy` and vanilla JavaScript's `sort()` methods.

Lodash_4.17.21.sortBy vs .sort vs custom (version: 0) Benchmark.js

Comparing performance of: `Lo-Dash sortBy() vs Vanilla sort() vs Vanilla CUSTOM sort method`

Created: 2 years ago by: Guest

Go to the latest result

Lo-Dash sortBy()

Vanilla sort()

Vanilla CUSTOM sort method

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

Lodash_4.17.21.sortBy vs .sort vs custom (version: 0) Benchmark.js

Comparing performance of: Lo-Dash sortBy() vs Vanilla sort() vs Vanilla CUSTOM sort method

Created: 2 years ago by: Guest

Go to the latest result

Lo-Dash sortBy()

Vanilla sort()

Vanilla CUSTOM sort method

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

Comparing performance of: `Lo-Dash sortBy() vs Vanilla sort() vs Vanilla CUSTOM sort method`