Run results for: Ramda vs. Lodash (Fixed & IIFE updated asc)

Compares performance on the same task using Lodash vs two styles of Ramda vs two styles of "native" Javascript. In all cases the task is pulling "counter" property from each item in an array, filtering out odd items, squaring them, then returning those squared values that have less than two digits.

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Run details:

User agent: Mozilla/5.0 (X11; Linux x86_64; rv:139.0) Gecko/20100101 Firefox/139.0

Browser: Firefox 139

Operating system: Linux

Device Platform: Desktop

Date tested: one year ago

Native

5K/s

Lodash

2K/s

Ramda with currying and composition

458/s

Ramda

432/s

View exact numbers

Test name	Executions per second
✓ Native	5,166 Ops/sec
Lodash	1,729 Ops/sec
Ramda with currying and composition	458 Ops/sec
Ramda	432 Ops/sec

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:

Native
var result = (() => { var result = []; var { length } = data; for (var i = 0; i < length; i++) { var { counter } = data[i]; if (!isOdd(counter)) { continue; } var s = square(counter); if (!lessThanThreeDigits(s)) { continue; } result.push(s); } return result; })()
Lodash
var result = _.chain(data) .map('counter') .filter(isOdd) .map(square) .filter(lessThanThreeDigits) .value();
Ramda with currying and composition
var result = R.pipe( R.pluck('counter'), R.filter(isOdd), R.map(square), R.filter(lessThanThreeDigits) )(data);
Ramda
var result = R.filter(lessThanThreeDigits, R.map(square, R.filter(isOdd, R.pluck('counter', data))));