<script src="//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>
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);
_.map(data, double)
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
Ramda | |
Array (native) | |
Lodash |
Test name | Executions per second |
---|---|
Ramda | 1142154.2 Ops/sec |
Array (native) | 3379748.8 Ops/sec |
Lodash | 3105115.0 Ops/sec |
Benchmark Overview
The provided JSON represents a JavaScript microbenchmarking test case, specifically comparing the performance of three different libraries: Ramda's map
function, Array (native) map
function, and Lodash's map
function.
Tested Options
The benchmark compares the following options:
map
function to transform an array of numbers by doubling each element.map
function provided by JavaScript, which is built into the language and does not require any external libraries.map
function to transform an array of numbers by doubling each element.Pros and Cons
map
, that can simplify code and improve readability. Cons: It requires importing the library, which may add overhead to the test.Library Descriptions
map
function applies a given transformation function to each element in an array.map
, for working with arrays and objects.Special JS Features/Syntax
None mentioned in the provided test case.
Other Alternatives
If you were to create your own benchmarking test case for comparing different map functions or other functional programming libraries, you could consider using alternatives like:
These alternatives offer different strengths and weaknesses compared to Ramda, Lodash, and the native map
function. When choosing an alternative, consider factors such as your team's familiarity with functional programming concepts, performance requirements, and ease of use.