# random-large-data

> Generate different types of data quickly, great for things such as prototyping and testing.

Latest version **1.4.0** (published 2023-06-27) · ISC license · 0 weekly downloads

## Install

```sh
npm install random-large-data
pnpm add random-large-data
yarn add random-large-data
bun add random-large-data
```

## Health

**Score 20/100 (F)** — status: abandoned.

Positive: esm support; no vulnerabilities.

Warnings: low downloads; no types.

Negative: abandoned; low maintenance score.

## Facts

| | |
|---|---|
| Version | 1.4.0 |
| Published | 2023-06-27 |
| First published | 2019-10-01 |
| Weekly downloads | 0 |
| License | ISC |
| TypeScript types | none |
| Module format | ESM + CommonJS |
| Dependencies | 1 |
| Unpacked size | 137.4 KB |
| Known vulnerabilities | 0 |
| Install scripts | no |
| Author | Jenesh |
| Maintainers | jenesh |
| Keywords | random-data, random, data, array, object, array, numbers, random-large-data, large-data, strings, javascript, js, javascript-data, js-data, javascript-random-data, js-random-data, javascript-random-large-data, js-random-large-data, javascript-large-data, js-large-data, javascript-random, js-random, javascript-random-large, js-random-large, javascript-large, js-large |

## Links

- npm: https://www.npmjs.com/package/random-large-data
- Repository: https://github.com/jenesh/random-large-data
- Homepage: https://github.com/jenesh/random-large-data#readme
- Issues: https://github.com/jenesh/random-large-data/issues
- npm.io page: https://npm.io/package/random-large-data

## Dependencies (1)

- [typescript](https://npm.io/package/typescript.md) ^5.1.3

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## Recent versions

- 1.4.0 (latest) — 2023-06-27
- 1.2.0 — 2023-06-20
- 1.1.0 — 2023-06-19
- 1.0.0 — 2019-10-01

## README

# random-large-data

## Installation
Using npm:
```bash
$ npm i random-large-data
```

In Node.js
```js
// Load the package
var rld = require('random-large-data');
```

## Why random-large-data? 
Because this is a super light weight package that will get you the necessary random large data you need for your current and future projects. With 0 dependencies, I promise you this is as fast and easy as it can get. ⚡️

## Requests 👀
If you have any requests please feel free to create a [New issue](https://github.com/jenesh/random-large-data/issues) and I will get to it in no time!

## Contribution 🙌
I'd be more than happy for any contribution to this package! Simply make your changes in a new branch and create a [Pull Request](https://github.com/jenesh/random-large-data/pulls)

## Currently Available Methods (more coming soon!) 👨‍💻

```js
// Returns a random whole number from 0 < num
randomNumber(num = 100)
> randomNumber(10)
> 5

// Returns an array of the given arrSize based on the min and max number
arrayNumGenerator(min = 0, max = 1, arrSize = 10)
> arrayNumGenerator(0, 100, 5)
> [ 29, 0, 52, 0, 96, 0 ]

// Returns an array of the given arrSize and the strSize
arrayStrGenerator(arrSize = 10, strSize = 5)
> arrayStrGenerator(5, 5)
> [ 'njplr', 'hkkbt', 'zfdup', 'fvnbp', 'khztm' ]
```

## Report all bugs 🐛 here:
https://github.com/jenesh/random-large-data/issues

## Todo
- ~~Update to TypeScript~~ [Done]
- Add other data types
- Support different use cases/categories (Personal data, Business data)
- Add random chat data
- Add username and password generators
- Add common dialog and language

---
_Source: https://npm.io/package/random-large-data · Machine-readable twin of the npm.io package page. Health data is recomputed on every publish._