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Socket’s threat research team has detected six malicious npm packages typosquatting popular libraries to insert SSH backdoors.
The casual npm package is a versatile library for generating random data. It can be used to create fake data for testing, prototyping, and development purposes. The package offers a wide range of functionalities, including generating random strings, numbers, dates, addresses, and more.
Random String Generation
Generates a random string. This can be useful for creating random usernames, passwords, or other text data.
const casual = require('casual');
console.log(casual.string);
Random Number Generation
Generates a random integer between the specified range. This is useful for creating random IDs, quantities, or other numerical data.
const casual = require('casual');
console.log(casual.integer(1, 100));
Random Date Generation
Generates a random date in the specified format. This can be useful for creating random timestamps, birthdates, or other date-related data.
const casual = require('casual');
console.log(casual.date('YYYY-MM-DD'));
Random Address Generation
Generates a random address. This can be useful for creating random location data for testing or development purposes.
const casual = require('casual');
console.log(casual.address);
Random Email Generation
Generates a random email address. This can be useful for creating random user data for testing or development purposes.
const casual = require('casual');
console.log(casual.email);
Faker is a popular library for generating fake data. It offers a wide range of functionalities similar to casual, including generating random names, addresses, dates, and more. Faker is known for its extensive localization support, allowing users to generate data in various languages and formats.
Chance is another library for generating random data. It provides a comprehensive set of functionalities, including random string, number, date, and address generation. Chance is known for its simplicity and ease of use, making it a good alternative to casual for basic random data generation needs.
Random-js is a library focused on generating random numbers and other random data. It offers a variety of random number generation methods, including uniform, normal, and exponential distributions. While it may not have as many features as casual, it excels in providing high-quality random number generation.
Better faker api.
$ npm install casual
var casual = require('casual');
// Generate random sentence
var sentence = casual.sentence;
// Generates random city name
var city = casual.city;
// And so on..
Casual uses javascript properties for common generators so you don't need to use function call operator
Property generators:
The MIT License (MIT) Copyright (c) 2014 Egor Gumenyuk boo1ean0807@gmail.com
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
FAQs
Fake data generator
The npm package casual receives a total of 114,267 weekly downloads. As such, casual popularity was classified as popular.
We found that casual demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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