<script src="//cdnjs.cloudflare.com/ajax/libs/ramda/0.25.0/ramda.min.js"></script>
function double(n) {
return n*2;
}
var data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30];
R.map(double, data);
data.map(double);
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
Ramda | |
Array (native) |
Test name | Executions per second |
---|---|
Ramda | 2693953.8 Ops/sec |
Array (native) | 1997023.1 Ops/sec |
Benchmark Overview
MeasureThat.net is a website that allows users to create and run JavaScript microbenchmarks, comparing the performance of different approaches to solve specific problems. The provided benchmark definition json measures the speed of Ramda's map
function versus the native map
function in JavaScript arrays.
Options Compared
The benchmark compares two options:
map
function: A functional programming library that provides a more expressive and concise way to perform operations on arrays.map
function: The built-in array method for applying a transformation function to each element of an array.Pros and Cons
map
function:curry
and memoize
.map
function:map
, less expressive.Library Used
In this benchmark, the library used is Ramda, a functional programming library for JavaScript. Ramda provides a set of higher-order functions that can be composed together to solve problems in a more declarative and concise way.
Special JS Feature or Syntax
There are no special JavaScript features or syntax mentioned in this benchmark definition. Both options, Ramda's map
function and Array's native map
, use standard JavaScript syntax.
Other Alternatives
If you prefer not to use Ramda, there are other functional programming libraries for JavaScript that provide similar functionality, such as:
Alternatively, you can also use ES6-style array methods, which provide a more concise and expressive way to perform operations on arrays, such as map
, filter
, and reduce
.