Benchmark: spread vs ramda filter vs boolean filter

HTML Preparation code:

<script src="https://cdnjs.cloudflare.com/ajax/libs/ramda/0.25.0/ramda.js"></script>

Script Preparation code:

var params = { a: 1, b: 2 };

Tests:

ramda filter true
const x = true var result = [ x ? {a: 3, b: 4} : null, { a: params.a, b: params.b } ] result.filter(R.identity)
ramda filter false
const x = false var result = [ x ? {a: 3, b: 4} : null, { a: params.a, b: params.b } ] result.filter(R.identity)
Boolean true
const x = true var result = [ x ? {a: 3, b: 4} : null, { a: params.a, b: params.b } ] result.filter(Boolean)
Boolean false
const x = true var result = [ x ? {a: 3, b: 4} : null, { a: params.a, b: params.b } ] result.filter(Boolean)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
ramda filter true
ramda filter false
Boolean true
Boolean false

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 2 months ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/149.0.0.0 Safari/537.36

Browser/OS: Chrome 149 on Windows

View result in a separate tab

ramda filter true

70.1M/s

ramda filter false

62.8M/s

Boolean false

60.9M/s

Boolean true

59.8M/s

View exact numbers

Test name	Executions per second
✓ ramda filter true	70,116,704 Ops/sec
ramda filter false	62,814,728 Ops/sec
Boolean false	60,890,556 Ops/sec
Boolean true	59,811,988 Ops/sec

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

LLMs can make mistakes. Check important info.

The provided JSON represents a benchmark test on MeasureThat.net, where users can create and run JavaScript microbenchmarks. The test compares the performance of three different approaches to filter an array:

1. **Ramda Filter**: Ramda is a functional programming library for JavaScript that provides a variety of higher-order functions, including `filter()`. In this test, the `R.filter()` function is used to filter out elements from the `result` array that meet certain conditions.
2. **Boolean Filter**: The Boolean filter uses a simple condition to determine which elements to keep in the result array. If `x` is true, the element with key-value pairs `{a: 3, b: 4}` is included; otherwise, null is included.

Now, let's discuss the pros and cons of each approach:

**Ramda Filter**

Pros:

* Provides a standardized way to filter arrays using a functional programming style.
* Can be more concise and expressive than a simple Boolean filter.

Cons:

* May have a higher overhead due to the additional function call and potential dependencies on the Ramda library.
* Requires users to familiarize themselves with the Ramda API and syntax.

**Boolean Filter**

Pros:

* Lightweight and easy to understand, as it only requires basic understanding of JavaScript conditional statements.
* Does not rely on any external libraries, making it a good choice for simple cases or for those who want to avoid additional dependencies.

Cons:

* May require more boilerplate code to achieve the same result as Ramda's `filter()` function.
* Less concise and expressive than Ramda's filter, as it requires explicit condition checks.

Other considerations:

* The use of `Boolean` as a filter function is an interesting choice. In JavaScript, `true` and `false` are primitive values that behave differently from boolean expressions (`true` and `false`). This might lead to unexpected behavior if not used carefully.
* The test uses `R.identity` as the second argument to `filter()`, which returns the original array element when no condition is met. This could be considered a "identity" filter, but it's worth noting that this might not be the most efficient or effective approach in all cases.

Alternatives:

* For those who want to avoid external libraries, one could use a simple loop or `Array.prototype.filter()` method instead of Ramda's `filter()`.
* Another alternative is to use a more concise and expressive filter implementation, such as using arrow functions or template literals.

In summary, the choice between Ramda Filter and Boolean Filter depends on personal preference, project requirements, and familiarity with functional programming concepts. Both approaches have their pros and cons, and users should consider these factors when selecting an approach for their specific use case.

spread vs ramda filter vs boolean filter (version: 0) Benchmark.js

<script src="https://cdnjs.cloudflare.com/ajax/libs/ramda/0.25.0/ramda.js"></script>

Comparing performance of: `ramda filter true vs ramda filter false vs Boolean true vs Boolean false`

Created: 8 years ago by: Guest

Go to the latest result

ramda filter true

ramda filter false

Boolean true

Boolean false

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

spread vs ramda filter vs boolean filter (version: 0) Benchmark.js

<script src="https://cdnjs.cloudflare.com/ajax/libs/ramda/0.25.0/ramda.js"></script>

Comparing performance of: ramda filter true vs ramda filter false vs Boolean true vs Boolean false

Created: 8 years ago by: Guest

Go to the latest result

ramda filter true

ramda filter false

Boolean true

Boolean false

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

Related benchmarks

Comparing performance of: `ramda filter true vs ramda filter false vs Boolean true vs Boolean false`