Benchmark: Ramda sort vs JS native sort vs Lodash

HTML Preparation code:

<script src="https://cdnjs.cloudflare.com/ajax/libs/ramda/0.29.0/ramda.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.21/lodash.min.js" integrity="sha512-WFN04846sdKMIP5LKNphMaWzU7YpMyCU245etK3g/2ARYbPK9Ub18eG+ljU96qKRCWh+quCY7yefSmlkQw1ANQ==" crossorigin="anonymous" referrerpolicy="no-referrer"></script>

Script Preparation code:

var diff = (a, b) => (a - b);
var bigArray = (new Array(1000)).fill(null).map(() => Math.floor(Math.random() * 200) );

Tests:

Ramda
R.sort(diff, bigArray)
Native
bigArray.sort(diff)
Lodash
_.sortedUniqBy(bigArray, diff)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Ramda
Native
Lodash

Fastest: N/A

Slowest: N/A

Latest 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 benchmark compares the performance of three sorting algorithms: Ramda's `R.sort`, JavaScript's native `Array.prototype.sort`, and Lodash's `_.sortedUniqBy`.

**Options Compared**

1. **Ramda's R.sort**: This function uses a custom comparison function (`diff`) to sort an array in ascending order.
2. **JavaScript's Native Sort**: This function uses the default comparison function of the JavaScript engine to sort an array in ascending order.
3. **Lodash's _.sortedUniqBy**: This function sorts an array and removes duplicates, using a custom comparison function (`bigArray`) to determine uniqueness.

**Pros and Cons**

* **Ramda's R.sort**:
	+ Pros: Highly customizable comparison function, suitable for complex sorting scenarios.
	+ Cons: May be slower than native JavaScript sort due to the overhead of a custom comparison function.
* **JavaScript's Native Sort**:
	+ Pros: Optimized for performance, uses the browser's built-in comparison logic.
	+ Cons: Limited customization options, may not perform well with non-standard data types.
* **Lodash's _.sortedUniqBy**:
	+ Pros: Convenient and easy to use, provides a clear example of how to sort an array while removing duplicates.
	+ Cons: May be slower than native JavaScript sort due to the additional overhead of Lodash.

**Library Used**

The benchmark uses Ramda, a functional programming library that provides a simple and expressive way to manipulate data. In this case, `R.sort` is used to perform the sorting operation.

**Special JS Feature/Syntax**

None are mentioned in the provided code snippets, but it's worth noting that the use of a custom comparison function (`diff`) is an example of using a higher-order function (a function that takes other functions as arguments) in JavaScript.

**Other Alternatives**

If you're looking for alternative sorting algorithms or libraries, here are some options:

* **JavaScript's built-in sort method**: While not as customizable as Ramda's R.sort, JavaScript's native sort is optimized for performance and provides a good balance between speed and flexibility.
* **Sort comparison functions**: If you need more control over the sorting algorithm than provided by native JavaScript sort or Lodash's _.sortedUniqBy, consider implementing your own custom comparison function using a library like jQuery or a generic sorting algorithm.
* **Alternative libraries**: Other popular JavaScript libraries for data manipulation include Underscore.js (similar to Lodash), Moment.js (for date-based sorting), and MathJax (for mathematical operations).

Keep in mind that the choice of sorting algorithm or library ultimately depends on your specific use case, performance requirements, and personal preference.

Related benchmarks:

Ramda sort vs JS native sort vs Lodash (version: 0)

Comparing performance of: Ramda vs Native vs Lodash

Created: 2 years ago by: Registered User

Jump to the latest result

Ramda

Native

Lodash

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):