Benchmark: flatten : Lodash vs Ramda

HTML Preparation code:

<script src="https://cdnjs.cloudflare.com/ajax/libs/ramda/0.27.0/ramda.min.js"></script>
<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>

Script Preparation code:

var data = R.range(0, 10000).map(function(i) {
      return Math.floor(Math.random() * i) % 2 === 0 ? R.range(0, 3) : i;
  });

Tests:

Ramda
const result = R.flatten(data)
Lodash
const result = _.flatten(data)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Ramda
Lodash

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36

Browser/OS: Chrome 131 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
Ramda	3735.9 Ops/sec
Lodash	6866.9 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.

**Benchmark Overview**

The benchmark compares the performance of two JavaScript libraries: Lodash and Ramda, when it comes to flattening an array using the `flatten` function. The test case uses a randomly generated dataset with 10,000 elements, where each element is either an array of three random integers or itself (depending on whether its index is even).

**Library Overview**

* **Ramda**: Ramda is a functional programming library for JavaScript that provides a set of reusable functions for various tasks. The `flatten` function in Ramda takes an array as input and returns a new flattened array.
* **Lodash**: Lodash is another popular utility library for JavaScript that provides a wide range of functions, including the `flatten` function.

**Options Compared**

The benchmark compares two options:

1. **Ramda's `flatten` function**
2. **Lodash's `flatten` function**

**Pros and Cons of Each Approach**

* **Ramda's `flatten` function**:
	+ Pros:
		- Optimized for performance, with a simple and efficient implementation.
		- Uses recursion, which can be faster than iteration for large arrays.
	+ Cons:
		- May have higher overhead due to the recursive nature of its implementation.
* **Lodash's `flatten` function**:
	+ Pros:
		- More flexible and versatile, allowing for customization through options (e.g., depth).
		- Can be slower than Ramda's implementation due to additional logic.

**Other Considerations**

The benchmark doesn't account for other factors that could affect performance, such as:

* **Array size**: The test case uses an array of 10,000 elements, which is relatively small. Larger arrays may lead to different results.
* **Browser and platform differences**: Different browsers and platforms might have varying performance characteristics.

**Special JS Features or Syntax**

None of the benchmark's test cases use any special JavaScript features or syntax that would affect the comparison between Lodash and Ramda.

**Alternative Benchmarks**

If you want to compare similar benchmarks, consider these alternatives:

* **Array.prototype.flat()**: This is a newer method introduced in ECMAScript 2019, which provides a more efficient flattening algorithm.
* **Other libraries or implementations**: You can also compare other libraries or custom implementations of the `flatten` function to see how they perform.

Keep in mind that benchmarking JavaScript performance can be complex and influenced by many factors. Always ensure you have a clear understanding of the test cases, libraries, and environments being compared.

Related benchmarks:

flatten : Lodash vs Ramda (version: 0)

Comparing performance of: Ramda vs Lodash

Created: 5 years ago by: Registered User

Jump to the latest result

Ramda

Lodash

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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