10 releases

0.1.2 May 28, 2024
0.1.1 Apr 4, 2024
0.1.0 Mar 31, 2024
0.0.16 Mar 30, 2024

#384 in Development tools


Used in faking

MPL-2.0 license

2MB
101K SLoC

@dataconstruct/data-faking

Generate massive amounts of fake (but realistic) data for testing and development.

Docs Status Latest Version npm version

Try using our playground for your data gen needs, it supports code gen for much more than rust and javascript.

Docs (WIP)

Features

  • Defaults data types - numbers, lorem ipsum, bools, uuids
  • People - generate names, emails, jobs
  • Locations - generate addresses for north america (more coming soon), and coordinates
  • Various media - games, show, and books from across the globe
  • API data - generate data resembling real apis (ex. stripe)

Note: We try to generate realistic data. The generated names, addresses, emails, phone numbers, and/or other data might be coincidentally valid information. Please do not send any of your messages / calls to them from your test setup.

Usage Rust

cargo add data-faking
use data_faking as faking;

fn main() {
  println!("{}", faking::defaults::types::f64());
}

Usage Javascript / Typescript

npm i --save-dev data-faking
import * as faking from "data-faking";

console.log(faking.f64());

Randomness seed

If you want consistent results, you can set your own seed:

faking::utils::seeder::set_seed(2);
println!("{}", faking::defaults::types::f64());
faking.set_seed(BigInt(2));
console.log(faking.f64());

Unsupported Seeded Generation

The following data generators do not support seeded generation:

Dependencies

~18MB
~265K SLoC