typeorm-seeding VS casual

typeorm-seeding is used for test data:

Now I will explain two things that I think are fundamental about the library we are going to use (typeorm-seeding).

https://npm.im/typeorm-seeding (35k weekly downloads) https://github.com/w3tecch/typeorm-seeding (700 stars)

- https://www.npmjs.com/package/typeorm-seeding (if you use typeorm)

this is not up to NestJS itself. It depends on which db lib you're using. For typeorm, you could use https://github.com/w3tecch/typeorm-seeding

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

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.

https://npm.im/casual (57k weekly downloads) https://github.com/boo1ean/casual (2.8k stars)

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: