Benchmark: Ramda VS Loadash 2

HTML Preparation code:

<script src="https://cdnjs.cloudflare.com/ajax/libs/ramda/0.25.0/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 = _.range(10000).map(function(i) {
  return {
    counter: i
  }
});

function isOdd(num) {
  return num % 2 === 1;
}

function square(num) {
  return num * num;
}

function lessThanThreeDigits(num) {
  return num.toString().length < 3;
}

Tests:

Loadash
var result = _.chain(data) .pick('counter') .filter(isOdd) .map(square) .filter(lessThanThreeDigits) .value();
Ramda with currying
var result = R.pipe( R.filter(lessThanThreeDigits), R.map(square), R.filter(isOdd), R.pick('counter') )(data);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Loadash
Ramda with currying

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.

Let's break down the provided benchmark definitions and explain what is being tested, compared, and considered.

**Benchmark Definition**

The benchmark definition consists of two parts: Script Preparation Code and Html Preparation Code. The Script Preparation Code defines the JavaScript functions used in the benchmark, including:

* `data`: an array of objects with a counter property.
* `isOdd(num)`: a function that returns true if a number is odd.
* `square(num)`: a function that squares a number.
* `lessThanThreeDigits(num)`: a function that checks if a number has fewer than three digits.

The Html Preparation Code includes links to external JavaScript libraries: Ramda (version 0.25.0) and Lodash (version 4.17.5).

**Individual Test Cases**

There are two test cases:

1. **Loadash**: This test case uses the `lodash` library to perform a series of operations on the `data` array:
	* `.chain()`: creates a pipeline.
	* `.pick('counter')`: selects only the 'counter' property from each object in the array.
	* `.filter(isOdd)`: filters out odd numbers.
	* `.map(square)`: squares each number.
	* `.filter(lessThanThreeDigits)`: filters out numbers with three or more digits.
	* `.value()`: returns the final result.
2. **Ramda with currying**: This test case uses the Ramda library to perform a similar pipeline of operations on the `data` array, but with some differences:
	* `R.pipe()`: creates a pipelined function composition.
	* `R.filter(lessThanThreeDigits)`, `R.map(square)`, `R.filter(isOdd)`, and `R.pick('counter')`: use Ramda's functional programming utilities.

**Comparison**

The two test cases are compared in terms of performance. The Loadash test case uses the `.chain()` method, while the Ramda with currying test case uses `R.pipe()`. Both methods create a pipeline of operations, but Ramda's pipelining approach is more explicit and allows for easier debugging.

**Pros and Cons**

* **Loadash (.chain())**: Pros:
	+ Easy to read and maintain.
	+ Uses Lodash's familiar API.
* Cons:
	+ Can be slower due to the overhead of creating a chain of methods.
	+ May not be as efficient as Ramda's pipelining approach.
* **Ramda with currying (R.pipe())**: Pros:
	+ More explicit and flexible piping syntax.
	+ Allows for easier debugging and optimization.
* Cons:
	+ Steeper learning curve due to Ramda's functional programming utilities.

**Library Considerations**

Both libraries are widely used and well-maintained. However, Ramda is more focused on functional programming principles and provides a more comprehensive set of utility functions. Lodash, on the other hand, has a broader range of utility functions and is more suited for specific tasks or domain-specific libraries.

**Special JavaScript Features or Syntax**

Neither test case uses any special JavaScript features or syntax. The code is written in standard JavaScript syntax and does not rely on any advanced language features.

**Other Alternatives**

Other popular JavaScript libraries that can be used for data processing and manipulation include:

* **D3.js**: A library for producing dynamic, interactive data visualizations.
* **Papaparse**: A library for parsing CSV or JSON data.
* **Moment.js**: A library for working with dates and times.

However, these libraries are not as focused on functional programming principles as Ramda and Lodash, and may have different strengths and use cases.

Related benchmarks:

Ramda VS Loadash 2 (version: 0)

Comparing performance of: Loadash vs Ramda with currying

Created: 5 years ago by: Guest

Jump to the latest result

Loadash

Ramda with currying

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):