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.
Please reach out if you're looking for a Node.js API or CLI engineer (11 years of experience). Most recently I have been Netlify Build's and Netlify Plugins' technical lead for 2.5 years. I am available for full-time remote positions.
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
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' ] ]
// ]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.
inputs: Array<Array>
Return value: Array<Array>
Returns a two-dimensional Array where each row is a combination of inputs.
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
For any question, don't hesitate to submit an issue on GitHub.
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 ehmicky 💻 🎨 🤔 📖 |
 Marcel Gerber 💻 |
 Paul Heidenreich 💻 |