Run results for: Array vs ramda vs ramda-transducer vs Array-non-chain

Run details:

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.61 Safari/537.36

Browser: Chrome 83

Operating system: Windows

Device Platform: Desktop

Date tested: 3 years ago

Test name	Executions per second
Array	40805.4 Ops/sec
Ramda	147350.0 Ops/sec
Ramda Transducer	466.8 Ops/sec
Array non chain	38444.2 Ops/sec

HTML Preparation code:

<script src="https://cdnjs.cloudflare.com/ajax/libs/ramda/0.27.1/ramda.min.js" integrity="sha512-rZHvUXcc1zWKsxm7rJ8lVQuIr1oOmm7cShlvpV0gWf0RvbcJN6x96al/Rp2L2BI4a4ZkT2/YfVe/8YvB2UHzQw==" crossorigin="anonymous"></script>

Script Preparation code:

var source = Array(1000).fill(1).map((_, i) => Math.random());

Tests:

Array
const arrayResult = source .map(n => n * 2) .filter(n => n > 0.5) .map(n => n / 2);
Ramda
const rResult = R.compose( R.map(n => n * 2), R.filter(n => n > 0.5), R.map(n => n / 2) )(source);
Ramda Transducer
const transducer = R.compose( R.map(n => n * 2), R.filter(n => n > 0.5), R.map(n => n / 2), ); const rtResult = R.transduce(transducer, R.flip(R.append), [], source);
Array non chain
const res1 = source.map(n => n * 2); const res2 = res1.filter(n => n > 0.5); const res3 = res2.map(n => n / 2);

Run results for: Array vs ramda vs ramda-transducer vs Array-non-chain

Array

Ramda

Ramda Transducer

Array non chain