Run results for: Ramda (/w transducer) vs. Lodash

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 (Macintosh; Intel Mac OS X 10.15; rv:123.0) Gecko/20100101 Firefox/123.0

Browser: Firefox 123

Operating system: Mac OS X 10.15

Device Platform: Desktop

Date tested: 2 years ago

Lodash

868K/s

Ramda with currying and composition

1K/s

Ramda with transducer

1K/s

Ramda without relying on currying or composition

1K/s

View exact numbers

Test name	Executions per second
✓ Lodash	868,011 Ops/sec
Ramda with currying and composition	1,117 Ops/sec
Ramda with transducer	1,057 Ops/sec
Ramda without relying on currying or composition	1,018 Ops/sec

HTML Preparation code:

<script src="https://cdnjs.cloudflare.com/ajax/libs/ramda/0.28.0/ramda.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.15/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:

Lodash
var result = _.chain(data) .pick('counter') .filter(isOdd) .map(square) .filter(lessThanThreeDigits) .value();
Ramda with transducer
var transducer = R.compose ( R.map(R.prop('counter')), R.filter(isOdd), R.map(square), R.filter(lessThanThreeDigits), ); var result = R.transduce ( transducer, (acc, val) => { acc.push(val); return acc; }, [], data, );
Ramda with currying and composition
var result = R.pipe( R.pluck('counter'), R.filter(isOdd), R.map(square), R.filter(lessThanThreeDigits) )(data);
Ramda without relying on currying or composition
var result = R.filter(lessThanThreeDigits, R.map(square, R.filter(isOdd, R.pluck('counter', data))));