class-validator VS typedi

You can learn more from the documentation here.

This is the request body when creating a new task. The IsString decorator provided by class-validator rejects all types other than strings, including undefined or null. The task name value object does not consider the possibility of values other than strings.

In this class, we are using the famous class-validator to decorate our request parameters. This way it is more clear how we are going to use our request object and everything.

We add validation using https://github.com/typestack/class-validator.

I will make sure we get this documented.

Also OP can check out class-transformer + class-validator if he want to properly instantiate objects and validate them with precise and verbose output of potential format errors. OP can even go the god tier way by setting up a custom RxJS operator that does that for him easily.

Start by installing the class-transformer and class-validator packages for dto validation (see more in the docs), sharp for image optimization, and the S3 client packages.

The description of the request body model in NestJS is similar to the description of Ditsmod models, but NestJS uses decorators provided by the utility class-validator. In NestJS, it is customary to name the request body model with the ending *Dto (this is an abbreviation of Data transfer object):

You could use Zod or Superstruct to validate the types of values, or use typestack/class-validator if it makes sense.

Also, title of before article was I made 1,000x faster TypeScript validator library, but today's benchmark is showing that typescript-json is maximum 6,500x times faster. It's just because I added a new library class-validator in the benchmark and it is much slower than previous zod. Of course, I've continuously tuned the performance, but it just improved the performance about 2x times only.

In this tutorial, we're building a simple application which uses Cerbos inside of a GraphQL server. The server is written in typescript and uses type-graphql to create the schema and resolvers, and TypeDI to handle dependency injection.

typedi

If you don’t want to tie yourself to a full web framework like Nest, there are a few DI-only frameworks that work with decorators, like TypeDI, TSyringe, or Typed Inject.

For existing projects, or if you don't want the weight of an opinionated framework like Nest, libraries like TypeDI and TSyringe can help.

The TypeDI project aims for simplicity by leveraging decorators and decorator metadata. It supports dependency scoping with singletons and transient objects and allows for multiple DI containers to exist. You have two options for working with TypeDI:

There are a number of Javascript dependency injection container libraries out there. Some of my personal favourites are TypeDI and InversifyJS. Here is an example demonstrating basic usage of Typedi with JavaScript.

typedi TypeDI is a powerful dependency injection package that has many features. One of this features is having Singleton Services which is how we use it in our case.