Benchmark: Ramda.pickBy() vs Array.filter()

HTML Preparation code:

<script src="path/to/yourCopyOf/ramda.min.js"></script>

Script Preparation code:

var obj = Array(1000)
  .fill()
  .reduce((acc, curr, i) => {
    acc[i] = i;
    return acc;
  }, []);
var predicate = v => v % 2 === 0;

Tests:

Ramda.pickBy()
_.pickBy(obj, predicate);
Array.filter()
obj.filter(e => predicate(e))

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Ramda.pickBy()
Array.filter()

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.

I'll break down the benchmark and explain what's being tested.

**Benchmark Overview**

The benchmark compares two approaches for filtering an array of objects: Ramda's `pickBy` function and the built-in `Array.prototype.filter()` method.

**Options Compared**

There are two options being compared:

1. **Ramda.pickBy()**: This is a higher-order function that takes an object, an index, and a predicate function as arguments. It returns a new array containing only the properties of the original object where the predicate function returns `true`.
2. **Array.prototype.filter()**: This is a built-in JavaScript method that takes a callback function and returns a new array with all elements for which the callback function returns `true`.

**Pros and Cons**

Both approaches have their strengths and weaknesses:

* **Ramda.pickBy()**:
	+ Pros: More explicit, flexible, and composable. It allows for more control over the filtering process.
	+ Cons: Requires an additional library (Ramda), which may introduce overhead or dependencies.
* **Array.prototype.filter()**:
	+ Pros: Built-in, efficient, and widely supported. It's a straightforward and simple approach.
	+ Cons: May not be as flexible or composable as Ramda's `pickBy()`.

**Library Usage**

The benchmark uses the Ramda library for its `pickBy` function. Ramda is a functional programming library that provides a set of higher-order functions for working with arrays, objects, and other data structures.

**Special JS Feature/Syntax**

There are no special JavaScript features or syntax being used in this benchmark. The only notable aspect is the use of Arrow Function Syntax (`v => v % 2 === 0`) to define the predicate function in the `Array.prototype.filter()` test case.

**Other Alternatives**

If you're interested in exploring alternative approaches, here are a few options:

* Using Lodash's `pickBy` function instead of Ramda's.
* Implementing your own custom filtering logic using a traditional loop or recursion.
* Utilizing other libraries or frameworks that provide similar functionality to Ramda or the built-in `Array.prototype.filter()` method.

These alternatives may offer different trade-offs in terms of performance, readability, and maintainability.

Related benchmarks:

Ramda.pickBy() vs Array.filter() (version: 0)

Comparing performance of: Ramda.pickBy() vs Array.filter()

Created: 3 years ago by: Guest

Jump to the latest result

Ramda.pickBy()

Array.filter()

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):