fast-cartesian
v9.0.0
Published
Fast cartesian product
Downloads
26,105
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!