community-faker
falso
community-faker | falso | |
---|---|---|
1 | 13 | |
49 | 3,124 | |
- | 0.9% | |
4.3 | 6.8 | |
over 2 years ago | 3 days ago | |
JavaScript | TypeScript | |
GNU General Public License v3.0 or later | MIT License |
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community-faker
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A new modern and tree-shakeable version of Faker.js
How much will this differ from the comunity fork of FakerJS? https://github.com/MilosPaunovic/community-faker
falso
- I Created an API to Generate Mock Information
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An alternative API mocking library for frontend developers
Fake data: http-request-mock has integrated with @ngneat/falso, you can easily generate massive amounts of fake data.
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MongoDB Shell tips and tricks
Sometimes, you just want to generate large volumes of synthetic data for development and testing. One great module that helps with this is Falso.
- Falso β All the Fake Data for All Your Real Needs
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Thank you, Faker. Now itβs Time to Move On.
TL;DR β Falso is a modern, tree-shakeable, well-documented replacement for Faker.js
- Falso v2 is out - A modern, tree-shakable replacement for Faker.js
- A new modern and tree-shakeable version of Faker.js
What are some alternatives?
chance.js - Chance - Random generator helper for JavaScript
faker - Generate massive amounts of fake data in the browser and node.js
typeorm-seeding - π± A delightful way to seed test data into your database.
react-native-get-random-values - A small implementation of `getRandomValues` for React Native
supertest-mocha-chai-javascript - This is a sample API Test Automation framework designed using SuperTest, Mocha, Chai, and FakerJS. And in this framework we will see some basic working examples for learning.
mongosh-snippets - An experimental plugin feature for mongosh
blaver - A JavaScript library built on top of the Faker.JS library. It generates massive amounts of fake data in the browser and node.js.
mongosh-docker - Unofficial dockerized MongoDB Shell
copycat - Generate deterministic fake values: The same input will always generate the same fake-output.
COB-FAKER - COBOL port (partial) of the Python Faker project - used to generate or anonymize test data requiring names, addresses, etc.