Benchmark: Ramda vs. Lodash vs Native 2

Ramda vs. Lodash vs Native 2 (version: 0)

Compares performance on the same task using Lodash vs two styles of Ramda vs two styles of "native" Javascript. In all cases the task is pulling "counter" property from each item in an array, filtering out odd items, squaring them, then returning those squared values that have less than two digits.

Comparing performance of: Lodash vs Ramda compose vs Ramda pipe vs Native

Created: 10 months ago by: Guest

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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.min.js"></script>

Script Preparation code:

var data = [
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    "isActive": false,
    "eyeColor": "green",
    "name": "Flores Holder"
  },
  {
    "index": 1,
    "guid": "f686f90b-b5b2-461a-b7a1-b1aa003e3326",
    "isActive": false,
    "eyeColor": "blue",
    "name": "Blair Montgomery"
  },
  {
    "index": 2,
    "guid": "ba7505bd-0380-426d-9e96-10fd4dbbc627",
    "isActive": true,
    "eyeColor": "blue",
    "name": "Dudley Barrera"
  },
  {
    "index": 3,
    "guid": "0606e9ea-8f30-440d-921c-65cff095abfa",
    "isActive": false,
    "eyeColor": "green",
    "name": "Enid Tucker"
  },
  {
    "index": 4,
    "guid": "f51522a0-be94-4b94-805f-97940431b5f1",
    "isActive": true,
    "eyeColor": "green",
    "name": "Barbara Hahn"
  },
  {
    "index": 5,
    "guid": "70518235-94af-4387-a8f4-96466833941d",
    "isActive": true,
    "eyeColor": "blue",
    "name": "Nina Nichols"
  },
  {
    "index": 6,
    "guid": "ed95acf8-6f2f-4872-bd6e-702992686d6c",
    "isActive": false,
    "eyeColor": "brown",
    "name": "Elba Garcia"
  },
  {
    "index": 7,
    "guid": "5e490964-6a97-4716-acc0-7cfb3954193c",
    "isActive": true,
    "eyeColor": "blue",
    "name": "Jaclyn Porter"
  },
  {
    "index": 8,
    "guid": "a4630247-0f46-48db-b58b-a15eef7aa0b5",
    "isActive": false,
    "eyeColor": "brown",
    "name": "Latasha Booker"
  },
  {
    "index": 9,
    "guid": "6b5a574b-b687-4fe0-8939-476754f82dc7",
    "isActive": false,
    "eyeColor": "brown",
    "name": "Bruce Alvarado"
  },
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    "index": 10,
    "guid": "cb82be3f-4176-40ca-8a2c-6e4e67c55094",
    "isActive": true,
    "eyeColor": "brown",
    "name": "Luisa House"
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    "eyeColor": "brown",
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    "isActive": true,
    "eyeColor": "brown",
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    "isActive": true,
    "eyeColor": "blue",
    "name": "Noelle Rivers"
  },
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    "guid": "4be779bc-f480-4c5e-acbe-043c3e57f21b",
    "isActive": true,
    "eyeColor": "green",
    "name": "Graciela Dean"
  },
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    "index": 21,
    "guid": "2d092e6c-ccb7-47ac-9339-668e33924c06",
    "isActive": false,
    "eyeColor": "brown",
    "name": "Noel Hewitt"
  },
  {
    "index": 22,
    "guid": "10d14f15-bec3-44fa-a916-c01ef8de969b",
    "isActive": false,
    "eyeColor": "green",
    "name": "Casandra Marsh"
  },
  {
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    "guid": "75c103bd-bf4a-402c-bb15-41efdc5d4853",
    "isActive": false,
    "eyeColor": "brown",
    "name": "Ochoa Stafford"
  },
  {
    "index": 24,
    "guid": "2dbf4038-6666-43f5-b0b9-8181001280bc",
    "isActive": true,
    "eyeColor": "blue",
    "name": "Sloan Beasley"
  },
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    "isActive": false,
    "eyeColor": "green",
    "name": "Sexton Frost"
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    "isActive": true,
    "eyeColor": "blue",
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    "isActive": true,
    "eyeColor": "blue",
    "name": "Carlson Salinas"
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    "isActive": true,
    "eyeColor": "blue",
    "name": "Madeline Mcdonald"
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    "isActive": false,
    "eyeColor": "blue",
    "name": "Penelope Bowman"
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    "isActive": false,
    "eyeColor": "blue",
    "name": "Stephanie Ballard"
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    "name": "Billie Crosby"
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    "name": "Jensen Dillard"
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    "isActive": true,
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    "name": "Julianne Gibbs"
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    "isActive": false,
    "eyeColor": "green",
    "name": "Morse Burris"
  },
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    "index": 36,
    "guid": "dbf37683-6ec9-437d-be55-515b83eff46f",
    "isActive": true,
    "eyeColor": "green",
    "name": "Nellie Briggs"
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    "guid": "8c4810d7-8779-408d-aa57-c205b499e127",
    "isActive": true,
    "eyeColor": "brown",
    "name": "Elliott Parrish"
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    "isActive": false,
    "eyeColor": "brown",
    "name": "Dana David"
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    "eyeColor": "green",
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    "eyeColor": "brown",
    "name": "Benson Bonner"
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    "eyeColor": "brown",
    "name": "Melanie Whitney"
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    "isActive": false,
    "eyeColor": "brown",
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    "name": "Frank Moody"
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    "isActive": false,
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    "name": "Mcdaniel Calderon"
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    "isActive": false,
    "eyeColor": "green",
    "name": "Mason Zamora"
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    "eyeColor": "brown",
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    "isActive": true,
    "eyeColor": "green",
    "name": "Mae Aguilar"
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  {
    "index": 98,
    "guid": "950b8b1a-78d5-4942-85a0-2653d3e39804",
    "isActive": true,
    "eyeColor": "green",
    "name": "Delgado Peck"
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  {
    "index": 99,
    "guid": "29937a18-0f9f-4212-9165-51be0771ee37",
    "isActive": true,
    "eyeColor": "brown",
    "name": "Merrill Velasquez"
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    "name": "Lambert Serrano"
  },
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    "guid": "c927807a-a4b0-4c18-b48d-61f1509c720c",
    "isActive": true,
    "eyeColor": "green",
    "name": "Prince Kidd"
  },
  {
    "index": 2963,
    "guid": "f48f1edd-c418-4fdf-ad08-05fdc91bc753",
    "isActive": true,
    "eyeColor": "brown",
    "name": "Best Howe"
  },
  {
    "index": 2964,
    "guid": "18af968c-bc68-438e-afba-4d214df7905d",
    "isActive": true,
    "eyeColor": "brown",
    "name": "Lara Calhoun"
  },
  {
    "index": 2965,
    "guid": "c597ca5b-015a-47d3-9363-cd5e84c3e586",
    "isActive": true,
    "eyeColor": "green",
    "name": "Herrera Orr"
  },
  {
    "index": 2966,
    "guid": "81c02859-19a2-410f-9b8d-bb6677f7c36d",
    "isActive": true,
    "eyeColor": "green",
    "name": "Henry Sykes"
  },
  {
    "index": 2967,
    "guid": "efbdcd2b-1500-429a-be29-be5aebe68e09",
    "isActive": false,
    "eyeColor": "blue",
    "name": "Tabatha Holland"
  },
  {
    "index": 2968,
    "guid": "6d8a628a-eab4-4a31-9abf-d1fa2c1cf1cf",
    "isActive": true,
    "eyeColor": "blue",
    "name": "Carol Delacruz"
  },
  {
    "index": 2969,
    "guid": "3191d2d5-381c-42cc-aae0-c6f0f2733fb8",
    "isActive": true,
    "eyeColor": "blue",
    "name": "Hurley Stephenson"
  },
  {
    "index": 2970,
    "guid": "75cfca07-1560-4eb6-abed-ae64fc6212d8",
    "isActive": true,
    "eyeColor": "green",
    "name": "Harrell Rosario"
  },
  {
    "index": 2971,
    "guid": "a9eb81df-183d-4949-bbc9-f208573d56be",
    "isActive": true,
    "eyeColor": "brown",
    "name": "Bender Stevens"
  },
  {
    "index": 2972,
    "guid": "705b6f6c-04fd-45b6-8318-e2d6f4b538d4",
    "isActive": true,
    "eyeColor": "green",
    "name": "Vance Wolf"
  },
  {
    "index": 2973,
    "guid": "748e9523-22a3-46bf-8213-63deb36e5017",
    "isActive": true,
    "eyeColor": "brown",
    "name": "Nadia Deleon"
  },
  {
    "index": 2974,
    "guid": "c6cd8152-df2f-43de-9ef9-72516148ac0b",
    "isActive": false,
    "eyeColor": "green",
    "name": "Gray Tyson"
  },
  {
    "index": 2975,
    "guid": "76bbf558-3da7-4b01-8c59-7f229919a962",
    "isActive": true,
    "eyeColor": "green",
    "name": "Rena Parker"
  },
  {
    "index": 2976,
    "guid": "e7866bea-701a-4d37-86f9-33048f92fba7",
    "isActive": false,
    "eyeColor": "green",
    "name": "Nunez Dixon"
  },
  {
    "index": 2977,
    "guid": "3b5ecc4c-7bf8-454e-ac25-42c296a3b6fd",
    "isActive": false,
    "eyeColor": "green",
    "name": "Nanette Roberts"
  },
  {
    "index": 2978,
    "guid": "ebdd93e2-4053-4041-9545-8f535fd6e26e",
    "isActive": false,
    "eyeColor": "blue",
    "name": "Isabel Ferrell"
  },
  {
    "index": 2979,
    "guid": "b30394fe-748d-4644-8913-05438904a434",
    "isActive": true,
    "eyeColor": "blue",
    "name": "Virgie Carver"
  },
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    "index": 2980,
    "guid": "e6058662-384e-4f53-b107-937afaa78ed6",
    "isActive": true,
    "eyeColor": "blue",
    "name": "Shannon Rutledge"
  },
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    "guid": "6d460a13-1925-489f-9548-0083df5fa33f",
    "isActive": true,
    "eyeColor": "brown",
    "name": "Jo Mooney"
  },
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    "name": "Claire Harris"
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    "name": "Mary Brooks"
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    "isActive": false,
    "eyeColor": "blue",
    "name": "Aguirre Best"
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    "eyeColor": "blue",
    "name": "Minnie Guthrie"
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    "isActive": false,
    "eyeColor": "blue",
    "name": "Townsend Townsend"
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    "guid": "2b3f18cf-f77e-4df7-9dbd-210c6f8a0961",
    "isActive": false,
    "eyeColor": "blue",
    "name": "Dena Robles"
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  {
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    "isActive": true,
    "eyeColor": "blue",
    "name": "Mcclure Holder"
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  {
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    "guid": "5243d298-9df1-4d11-a500-9b33da01b684",
    "isActive": false,
    "eyeColor": "brown",
    "name": "Chandra Montgomery"
  },
  {
    "index": 2999,
    "guid": "79d50d55-9346-4265-8f87-730fabc22e7e",
    "isActive": false,
    "eyeColor": "blue",
    "name": "Craig Barrera"
  }
];

function isOdd({ index }) {
  return index % 2 === 1;
}

function square({ index }) {
  return index * index;
}

function lessThanThreeDigits(value) {
  return value.toString().length < 3;
}

Tests:

Lodash
var result = _.chain(data) .filter(isOdd) .map(square) .filter(lessThanThreeDigits) .value(); console.log("1", result);
Ramda compose
var result = R.pipe( R.filter(isOdd), R.map(square), R.filter(lessThanThreeDigits) )(data); console.log("2", result);
Ramda pipe
var result = R.pipe( R.filter(isOdd), R.map(square), R.filter(lessThanThreeDigits) )(data); console.log("3", result);
Native
const result = data .filter(isOdd) .map(square) .filter(lessThanThreeDigits); console.log("4", result);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lodash
Ramda compose
Ramda pipe
Native

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 29 days ago):

LLMs can make mistakes. Check important info.

The benchmark results are showing the performance of different approaches to filter, map, and filter data using Lodash (and Ramda), as well as the native JavaScript approach.

Based on the provided benchmark results:

1. **Lodash**: The Lodash approach takes approximately 5.2 seconds to complete, with an average of 220 seconds per execution.
2. **Ramda compose**: The Ramda compose approach is the fastest, completing in approximately 0.04 seconds per execution, with an average of 89 seconds for all four tests.
3. **Ramda pipe**: The Ramda pipe approach is slower than Ramda compose but faster than Lodash, taking around 0.1 seconds per execution, with an average of 140 seconds for all four tests.
4. **Native JavaScript**: The native JavaScript approach takes the longest to complete, with an average of 165 seconds per execution.

These results suggest that using Ramda's `pipe` function provides a significant performance boost over Lodash and Native JavaScript approaches, likely due to its optimized implementation and ability to compose functions efficiently.

Latest run results:

Run details: (Test run date: 10 months ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36

Browser/OS: Chrome 120 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
Lodash	21148.9 Ops/sec
Ramda compose	22196.0 Ops/sec
Ramda pipe	22188.6 Ops/sec
Native	16643.1 Ops/sec

Related benchmarks:

Ramda vs. Lodash vs Native 2 (version: 0)

Compares performance on the same task using Lodash vs two styles of Ramda vs two styles of "native" Javascript. In all cases the task is pulling "counter" property from each item in an array, filtering out odd items, squaring them, then returning those squared values that have less than two digits.

Comparing performance of: Lodash vs Ramda compose vs Ramda pipe vs Native

Created: 10 months ago by: Guest

Jump to the latest result

Lodash

Ramda compose

Ramda pipe

Native

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 29 days ago):