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Ramda vs native map speed vs for loop
(version: 0)
Benchmark.js
Comparing performance of:
native add 1 vs ramda add 1 vs for loop
Created:
4 years ago
by:
Guest
Go to the latest result
HTML Preparation code:
<script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/ramda/0.27.1/ramda.js"></script>
Script Preparation code:
var data = [ 1, 2, 3 ]
Tests:
native add 1
data.map(item => item + 1)
ramda add 1
R.map(item => item + 1, data)
for loop
for (var i = 0; i < data.length; i++) { data[i] = data[i] + 1; }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
Fork
Test case name
Result
native add 1
ramda add 1
for loop
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
7 months ago
)
User agent:
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/144.0.0.0 Safari/537.36
Browser/OS:
Chrome 144 on Mac OS X 10.15.7
View result in a separate tab
Embed
Embed Benchmark Result
<iframe src="https://measurethat.net/Embed?id=624837" width="100%" height="500px"></iframe>
for loop
43.7M/s
native add 1
17.5M/s
ramda add 1
16.7M/s
View exact numbers
Test name
Executions per second
✓
for loop
43,712,568 Ops/sec
native add 1
17,478,306 Ops/sec
ramda add 1
16,678,512 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided JSON and explain what's being tested, along with the pros and cons of each approach. **Benchmark Definition JSON** The benchmark is designed to compare the performance of three different methods: 1. **Native JavaScript Map**: The `map()` method built into JavaScript, which applies a given function to each element in an array. 2. **Ramda's `R.map()`**: A functional programming library (Ramda) that provides a `map()` function with additional features and optimizations. 3. **Manual Loop with For Each**: A traditional loop using a for-each construct to iterate over the array. **Script Preparation Code** The script preparation code includes: * An example array `data` defined in JavaScript, which will be used as input for the benchmark tests. * A script tag that loads Ramda's library (`ramda.js`) into the webpage. **Individual Test Cases** Each test case represents a different method for adding 1 to each element of the `data` array: 1. **Native add 1**: Uses the built-in JavaScript `map()` method. 2. **Ramda add 1**: Uses Ramda's `R.map()` function with an arrow function (`item => item + 1`) to transform each element in the array. 3. **For loop**: A traditional loop using a for-each construct (in this case, `for` keyword followed by parentheses containing the loop condition and increment). **Pros and Cons of Each Approach** * **Native JavaScript Map**: + Pros: Built-in functionality, easy to use, no external dependencies. + Cons: May not be optimized for performance, can lead to slower execution times due to additional overhead. * **Ramda's R.map()**: + Pros: Optimized for performance, provides additional features and flexibility (e.g., currying, memoization). + Cons: Additional dependency on Ramda library, potentially introduces additional overhead. * **Manual Loop with For Each**: + Pros: No external dependencies, direct control over loop iterations and optimizations. + Cons: More verbose code, prone to errors due to manual iteration. **Library: Ramda** Ramda is a functional programming library that provides various functions for manipulating arrays, objects, and other data structures. In this benchmark, Ramda's `R.map()` function is used to transform each element in the array using an arrow function (`item => item + 1`). The purpose of using Ramda is likely to provide performance optimizations and additional features compared to the native JavaScript `map()` method. **Special JS Feature: Arrow Functions** Arrow functions are a shorthand syntax for defining small, single-expression functions in JavaScript. In this benchmark, arrow functions are used with both the native JavaScript `map()` method (`item => item + 1`) and Ramda's `R.map()` function. The use of arrow functions provides a concise way to define simple transformations without declaring a full-fledged function using the traditional syntax (`function() { ... }`). **Other Alternatives** Other alternatives for adding 1 to each element in an array could include: * Using `Array.prototype.forEach()` or `Array.prototype.reduce()` methods, which provide additional features and flexibility. * Implementing custom loop logic using JavaScript's built-in `for` keyword with manual iteration. * Utilizing other libraries or frameworks that provide optimized map functionality (e.g., Lodash). Note that these alternatives may not be directly comparable to the benchmarked approaches without further modifications.
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