Run results for: Native filter VS Lodash omit VS custom (map & forEach)

Run details:

User agent: Mozilla/5.0 (Windows NT 10.0; rv:68.0) Gecko/20100101 Firefox/68.0

Browser: Firefox 68

Operating system: Windows

Device Platform: Desktop

Date tested: 4 years ago

Test name	Executions per second
Native filter	2.6 Ops/sec
Lodash omit	0.7 Ops/sec
Lodash omit with function	0.2 Ops/sec
Map based	1.5 Ops/sec
forEach case	1.4 Ops/sec

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.4/lodash.min.js"></script>

Script Preparation code:

var data = [];
var omitedValues = [];
var mappedValues = [];
var dataObject = {};
var max = 1000000;
var limit = max / 2;

for (let i = 0; i < max; i ++) {
	data.push({
  	id: i,
    name: `item_${i}`
  });
  dataObject[i] = { id: i, name: `item_${i}`};
  if (i < limit) {
  	omitedValues.push(i.toString());
  }
}

const filter = data.filt

Tests:

Native filter
const filter = data.filter(item => { const name_index = item.name.split('_')[1]; return parseInt(name_index, 10) < limit; });
Lodash omit
const omitData = _.omit(dataObject, omitedValues);
Lodash omit with function
const omitByData = _.omit(data, (value, key) => { const name_index = value.name.split('_')[1]; return parseInt(name_index, 10) > limit; });
Map based
data.map(item =>{ const name_index = item.name.split('_')[1]; if (parseInt(name_index, 10) < limit) { mappedValues.push(item); } });
forEach case
data.forEach(item =>{ const name_index = item.name.split('_')[1]; if (parseInt(name_index, 10) < limit) { mappedValues.push(item); } });

Run results for: Native filter VS Lodash omit VS custom (map & forEach)

Comparing Native filter VS Lodash omit (2 ways)

Native filter

Lodash omit

Lodash omit with function

Map based

forEach case