Run results for: meanBy vs native vs using sumBy

Run details:

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/136.0.0.0 Safari/537.36

Browser: Chrome 136

Operating system: Windows

Device Platform: Desktop

Date tested: one year ago

avgByNative

78.6M/s

avgByLodash

49.6M/s

avgByLodashUsingSumBy

13.0M/s

View exact numbers

Test name	Executions per second
✓ avgByNative	78,623,464 Ops/sec
avgByLodash	49,636,812 Ops/sec
avgByLodashUsingSumBy	13,049,640 Ops/sec

HTML Preparation code:

<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.21/lodash.min.js'></script>

Script Preparation code:

const smallArray = Array.from({ length: 10 }, (_, i) => i);

// 1. Native avgBy (using reduce for sum and dividing by length)
const avgByNative = (arr, fn) => {
  const sum = arr.reduce((acc, item) => acc + fn(item), 0);
  return sum / arr.length;
};

// 2. Lodash meanBy
const avgByLodash = (arr, fn) => _.meanBy(arr, fn);

// 3. Lodash using sumBy and dividing by length
const avgByLodashUsingSumBy = (arr, fn) => {
  const sum = _.sumBy(arr, fn);
  return sum / arr.length;
};

Tests:

avgByNative
avgByNative(smallArray, item => item.value)
avgByLodash
avgByLodash(smallArray, item => item.value)
avgByLodashUsingSumBy
avgByLodashUsingSumBy(smallArray, item => item.value)