Run results for: Lodash meanBy vs JS (with small and large size)

Run details:

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/135.0.0.0 Safari/537.36

Browser: Chrome 135

Operating system: Windows

Device Platform: Desktop

Date tested: one year ago

JS (10k entries)

2.0M/s

Lodash meanBy (10k entries)

130K/s

JS (100k entries)

1K/s

Lodash meanBy (100k entries)

801/s

View exact numbers

Test name	Executions per second
✓ JS (10k entries)	1,972,422 Ops/sec
Lodash meanBy (10k entries)	130,094 Ops/sec
JS (100k entries)	1,282 Ops/sec
Lodash meanBy (100k entries)	801 Ops/sec

Script Preparation code:

window.data = [];
for (let i = 0; i < 1000; i++) {
    data.push({n: Math.random()});
}

window.dataBig = [];
for (let i = 0; i < 100000; i++) {
    dataBig.push({n: Math.random()});
}

Tests:

Lodash meanBy (10k entries)
const avg = _.meanBy(data, v => v.n)
JS (10k entries)
const sum = data.reduce((acc, item) => { return acc + item.v; }, 0); const avg = sum / data.length;
Lodash meanBy (100k entries)
const avg = _.meanBy(dataBig, v => v.n)
JS (100k entries)
const sum = dataBig.reduce((acc, item) => { return acc + item.v; }, 0); const avg = sum / data.length;