faker.js VS casual

Compare faker.js vs casual and see what are their differences.

faker.js

Generate massive amounts of fake data in the browser and node.js [Moved to: https://github.com/faker-js/faker] (by faker-js)
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faker.js casual
3 4
1,711 3,024
- -
8.6 0.0
over 2 years ago 10 months ago
JavaScript JavaScript
GNU General Public License v3.0 or later -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

faker.js

Posts with mentions or reviews of faker.js. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-09.

casual

Posts with mentions or reviews of casual. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-30.
  • Show HN: UI Filler – placeholders for your designs
    5 projects | news.ycombinator.com | 30 Jun 2022
    Faker looks cool! We've been using Casual [0] for ages but Faker looks more featureful and more actively maintained.

    0: https://github.com/boo1ean/casual

  • How to Mock an API with random data from NodeJS
    1 project | dev.to | 3 Apr 2022
    In order to create the mockserver we need 2 npm dependencies. json-server and casual so we run npm install json-server casual --save-dev in our project.
  • 📦 Top alternatives for "colors" and "faker"
    6 projects | dev.to | 10 Jan 2022
    https://npm.im/casual (57k weekly downloads) https://github.com/boo1ean/casual (2.8k stars)
  • Generating Fake Data for Dashboards and Data Visualizations
    2 projects | dev.to | 8 Jan 2021
    In the past, I have relied on Google Sheets and a combination of array formulas, vlookups, random value generators to create fake datasets. This approach worked for small, one off datasets. Any time I needed to generate more than 1000 records or needed to update a dataset, this approach proved to be tedious. I also explored Faker and Casual (both of which are fantastic tools) but found that the data they generate was too abstract and that the implementation wasn't ideal for large datasets. I wanted a tool that:

What are some alternatives?

When comparing faker.js and casual you can also consider the following projects:

fake-store-api - FakeStoreAPI is a free online REST API that provides you fake e-commerce JSON data

Faker.js - What really happened with Aaron Swartz?

jest-playwright - Running tests using Jest & Playwright

typeorm-seeding - 🌱 A delightful way to seed test data into your database.

msw - Seamless REST/GraphQL API mocking library for browser and Node.js.

chance.js - Chance - Random generator helper for JavaScript

graphql-editor - 📺 Visual Editor & GraphQL IDE.

faker - Generate massive amounts of fake data in the browser and node.js

file-type - Detect the file type of a Buffer/Uint8Array/ArrayBuffer

plop - Consistency Made Simple

data-spring - Easily generate a dummy dataset based on a provided config