Run results for: Lodash vs Ramda vs Underscore 1.9.0

Run details:

User agent: Mozilla/5.0 (iPhone; CPU iPhone OS 17_4_1 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.4.1 Mobile/15E148 Safari/604.1

Browser: Mobile Safari 17

Operating system: iOS 17.4.1

Device Platform: Mobile

Date tested: 2 years ago

Benchmark engine: Benchmark.js

Lodash

1K/s

Underscore

1K/s

Ramda without relying on currying or composition

825/s

Ramda with currying and composition

802/s

View exact numbers

Test name	Executions per second
✓ Lodash	1,124 Ops/sec
Underscore	1,110 Ops/sec
Ramda without relying on currying or composition	825 Ops/sec
Ramda with currying and composition	802 Ops/sec

HTML Preparation code:

<script src="https://cdnjs.cloudflare.com/ajax/libs/ramda/0.25.0/ramda.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.4/lodash.js"></script>
<script type="text/javascript">
  window.lodash = _;
  _ = null;
</script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/underscore.js/1.9.0/underscore.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 = lodash.chain(data) .map(item => item.counter) .filter(isOdd) .map(square) .filter(lessThanThreeDigits) .value();
Ramda without relying on currying or composition
var result = R.filter(lessThanThreeDigits, R.map(square, R.filter(isOdd, R.pluck('counter', data))));
Ramda with currying and composition
var result = R.pipe( R.pluck('counter'), R.filter(isOdd), R.map(square), R.filter(lessThanThreeDigits) )(data);
Underscore
var result = _.chain(data) .map(item => item.counter) .filter(isOdd) .map(square) .filter(lessThanThreeDigits) .value();