Run results for: Ramda -> Lodash -> Native -> for Loop -> Transdusers

Run details:

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10.14; rv:63.0) Gecko/20100101 Firefox/63.0

Browser: Firefox 63

Operating system: Mac OS X 10.14

Device Platform: Desktop

Date tested: 4 years ago

Test name	Executions per second
Ramda	7.4 Ops/sec
Lodash	6.9 Ops/sec
Native	9.9 Ops/sec
for Loop	12.6 Ops/sec
transdusers	9.6 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.core.min.js"></script>

Script Preparation code:

var sqr = x => x * x
var isEven = x => x > 0 && 0 === x % 2
var sum = (x, y) => x + y
var toString = x => '' + x
var len = x => x.length

var limit = 1e6
var arr = new Array(limit).fill().map((_, i) => i + 1)

Tests:

Ramda
var ramdaResult = R.pipe( R.filter(isEven), R.map(sqr), R.map(toString), R.map(len), R.reduce(sum, 0) )(arr)
Lodash
var lodashResul = _.chain(arr) .filter(isEven) .map(sqr) .map(toString) .map(len) .reduce(sum, 0) .value()
Native
var result = arr .filter(isEven) .map(sqr) .map(toString) .map(len) .reduce(sum, 0)
for Loop
let loopResult = 0 for (let i = 1; i <= limit; i++) { if (isEven(i)) { loopResult += ('' + sqr(i)).length } }
transdusers
const xForm = R.compose( R.filter(isEven), R.map(sqr), R.map(toString), R.map(len) ) const transduserResul = R.transduce(xForm, sum, 0, arr)

Run results for: Ramda -> Lodash -> Native -> for Loop -> Transdusers

Ramda

Lodash

Native

for Loop

transdusers