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Run results for:
Lodash FP vs. Ramda
Go to the benchmark
Embed
Embed Benchmark Result
<iframe src="https://measurethat.net/Embed?id=533099" width="100%" height="500px"></iframe>
Run details:
User agent:
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36
Browser:
Chrome 126
Operating system:
Mac OS X 10.15.7
Device Platform:
Desktop
Date tested:
2 years ago
Benchmark engine:
Benchmark.js
Lodash.filter
3.8M/s
Lodash.map
3.3M/s
Ramda.map
3.1M/s
Ramda.filter
2.7M/s
Lodash.sortBy
565K/s
Ramda.sortBy
169K/s
View exact numbers
Test name
Executions per second
✓
Lodash.filter
3,755,839 Ops/sec
Lodash.map
3,276,577 Ops/sec
Ramda.map
3,146,183 Ops/sec
Ramda.filter
2,738,998 Ops/sec
Lodash.sortBy
564,903 Ops/sec
Ramda.sortBy
168,849 Ops/sec
HTML Preparation code:
<script src="https://cdn.jsdelivr.net/npm/ramda@0.26.1/dist/ramda.min.js"></script> <script src="https://cdn.jsdelivr.net/npm/lodash@4.17.11/lodash.fp.min.js"></script>
Script Preparation code:
// var array = Array(100).fill().map(Math.random); var array = [0.9017467706848585,0.21272564120328719,0.6962267619498075,0.6422277838711532,0.9593646394969273,0.384545707843011,0.9621549107377982,0.3310154380805628,0.5888331288848434,0.6021934672232572,0.3867214245632906,0.44002551285037295,0.7844416925009745,0.4683798326064532,0.09530742807118653,0.9494980110682019,0.5517627476737859,0.27075531846293566,0.6368142865072488,0.09941470583217682,0.933486501012984,0.4985221065955707,0.41904389585011526,0.923596140305686,0.5228002084782135,0.6077779467188327,0.42320840902905843,0.731232440539773,0.9307780531862417,0.29836024021648444,0.554579757093159,0.4053992807493627,0.16091630002749158,0.7705124075175338,0.9608223557179418,0.4394781888577608,0.01095432401863472,0.03136616679676041,0.6997676761412202,0.8588471864228564,0.8832188299348112,0.30846541709664077,0.36841129639164527,0.6844774184833411,0.9170193800972171,0.8570589565501101,0.9903224465308713,0.46032265724049126,0.5709604148146583,0.0001866705452648887,0.5168371304925241,0.13473327748744635,0.5859259608223231,0.5700380981079469,0.9893382756645077,0.9439062611356868,0.25842777584107135,0.5175197385104873,0.8277673822532123,0.16940444558441392,0.9629376000774428,0.7036197679062814,0.05362073290108893,0.011749950514384988,0.461644467239795,0.5679559578600983,0.005852925686180566,0.25155196362153487,0.23808044097825154,0.7301283807008514,0.4721677297582094,0.8140865649653599,0.4171062433916495,0.7387615337866364,0.2049969302657242,0.8503063101238413,0.6927389337217917,0.5935962195783708,0.6749398160799638,0.5016852297473815,0.5741557769313446,0.48198287652961147,0.1864714353069341,0.3902550000789753,0.6095121876925051,0.45837885640334997,0.3455932965299935,0.6084466832174058,0.26804226969749556,0.7079598206946047,0.8858262390845866,0.16575163490735023,0.6046967890110588,0.7853141397533452,0.6680692400578638,0.6944725307476995,0.9711447815982044,0.3973398417805829,0.8772853006110772,0.9056997760024414];
Tests:
Ramda.filter
R.filter(Math.round, array);
Lodash.filter
_.filter(Math.round, array);
Ramda.map
R.map(Math.round, array);
Lodash.map
_.map(Math.round, array);
Ramda.sortBy
R.sortBy(val => val, array);
Lodash.sortBy
_.sortBy(val => val, array);