fast-cartesian
v9.0.0
Published
Fast cartesian product
Downloads
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Maintainers
Readme
Fast cartesian product.
Retrieves every possible combination between several arrays (cartesian product).
Fastest available library in JavaScript.
When producing millions of combinations or combining hundreds of arrays,
big-cartesian
should be used
instead.
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Testimonials
We are now using this library for ourworldindata.org and have seen an almost 50-fold performance increase from the naive method we used before!
@MarcelGerber
Example
import fastCartesian from 'fast-cartesian'
console.log(
fastCartesian([
['red', 'blue'],
['circle', 'square'],
]),
)
// [
// [ 'red', 'circle' ],
// [ 'red', 'square' ],
// [ 'blue', 'circle' ],
// [ 'blue', 'square' ]
// ]
// Return initial indexes
console.log(
fastCartesian(
[
['red', 'blue'],
['circle', 'square'],
].map(Object.entries),
),
)
// [
// [ [ '0', 'red' ], [ '0', 'circle' ] ],
// [ [ '0', 'red' ], [ '1', 'square' ] ],
// [ [ '1', 'blue' ], [ '0', 'circle' ] ],
// [ [ '1', 'blue' ], [ '1', 'square' ] ]
// ]
Demo
You can try this library:
- either directly in your browser.
- or by executing the
examples
files in a terminal.
Install
npm install fast-cartesian
This package works in both Node.js >=18.18.0 and browsers.
This is an ES module. It must be loaded using
an import
or import()
statement,
not require()
. If TypeScript is used, it must be configured to
output ES modules,
not CommonJS.
API
fastCartesian(inputs)
inputs
: Array<Array>
Return value: Array<Array>
Returns a two-dimensional Array
where each row is a combination of inputs
.
Benchmarks
The following benchmarks compare the performance of this
library against alternatives
(big-cartesian
,
cx-product
,
cartesian-product
,
fast-cartesian-product
,
power-cartesian-product
,
cartesian
and
lodash.product
).
## fast-cartesian ######################
1 array 1.22ms
2 arrays 1.82ms
4 arrays 3.12ms
8 arrays 1.87ms
16 arrays 4.82ms
## cxproduct ###########################
1 array 1.91ms
2 arrays 3.47ms
4 arrays 3.62ms
8 arrays 2.39ms
16 arrays 5.05ms
## cartesian-product ###################
1 array 4.61ms
2 arrays 2.92ms
4 arrays 11.80ms
8 arrays 14.78ms
16 arrays 21.00ms
## big-cartesian #######################
1 array 7.21ms
2 arrays 6.68ms
4 arrays 8.53ms
8 arrays 7.80ms
16 arrays 18.30ms
## power-cartesian-product #############
1 array 6.84ms
2 arrays 8.54ms
4 arrays 12.35ms
8 arrays 11.78ms
16 arrays 18.98ms
## cartesian ###########################
1 array 3.44ms
2 arrays 11.12ms
4 arrays 13.27ms
8 arrays 16.11ms
16 arrays 22.90ms
## fast-cartesian-product ##############
1 array 23.04ms
2 arrays 24.11ms
4 arrays 30.46ms
8 arrays 45.65ms
16 arrays 65.12ms
## lodash.product ######################
1 array 36.51ms
2 arrays 37.89ms
4 arrays 41.71ms
8 arrays 52.72ms
16 arrays 80.84ms
Support
For any question, don't hesitate to submit an issue on GitHub.
Everyone is welcome regardless of personal background. We enforce a Code of conduct in order to promote a positive and inclusive environment.
Contributing
This project was made with ❤️. The simplest way to give back is by starring and sharing it online.
If the documentation is unclear or has a typo, please click on the page's Edit
button (pencil icon) and suggest a correction.
If you would like to help us fix a bug or add a new feature, please check our guidelines. Pull requests are welcome!