TypeGraphQL VS Gatsby

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.

Using decorators required setting an --experimentalDecorators experimental compiler flag. Several popular TypeScript libraries, such as type-graphql and inversify, rely on this implementation.

TypeGraphQL

Have you tried TypeGraphQL v2 (it's in beta). Some in this thread have reported success with it.

When moving away from Apollo Server, and you're looking for a replacement built with JavaScript or TypeScript, let me give you some options. If you want to keep building your GraphQL API schema first, you might want to consider Mercurius (which relies on Fastify) or GraphQL Yoga. If you're going to build your GraphQL API code or resolver first, have a look at TypeGraphQL or Nexus. Alternatively, there are great GraphQL-as-a-Service solutions such as StepZen in case you no longer want to build, maintain and host your own GraphQL API.

There are two main approaches to keeping the types of the GraphQL schema and entities in business logic in sync. You can generate the schema based on your TypeScript code (e.g. TypeGraphQL), or you can generate types based on your schema (e.g. GraphQL Code Generator). We opted for the latter since it slotted right into our existing GraphQL server implementation using Apollo Server.

I've used tools (e.g. TypeGraphQL) in the past, and for smaller schemas I've just manually written the schema.

I'll be honest and say I don't think python is the right language to implement graphql. It's possible of course and if you're looking for a graphene tutorial, I'm sure you can find one (and I'll help you evaluate one, if you'd like). I'd personally go with node.js, typescript, and typegraphql.

Foal's dependencies have been updated so as to support the latest version of TypeGraphQL.

The first time I started building static websites is when I discovered Gatsby. I built several projects using Gatsby and hosted it on Netlify free tier. It felt like a really robust architecture and I loved that it was free.

A Gatsby site uses Gatsby, which leverages React and GraphQL to create fast and optimized web experiences. Gatsby is often used for building static websites, progressive web apps (PWAs), and even full-blown dynamic web applications.

While Next.js is a powerful framework for building server-rendered React applications, it's not the only option for developers looking to create high-performance websites. One notable alternative is Gatsby, a static site generator that leverages React and GraphQL.

The other piece of important information to acknowledge here is that when we say RSCs need a framework, “framework” effectively just means “Next.js.” There are some smaller frameworks (like Waku) that support RSCs. There are also some larger and more established frameworks (like Redwood) that have plans to support RSCs or (like Gatsby) only support RSCs in beta. We will likely see this change once we get React 19 and RSCs are part of the Stable version. However, for now, Next.js is currently the only framework recommended in the official React docs that supports server components.

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GatsbyJS

Babel plugins are everywhere. From being used to remove unwanted exports from files in Gatsby to being used to disallow users from doing re-exports in Nextjs.

In terms of GitHub stars, SSGs like Next.js, Hugo, Gatsby, Docusaurus, Nuxt.js, and Jekyll top the list. Some popular SSGs even host conferences and workshops, providing resources and networking opportunities for those looking to explore more advanced topics in depth.

Flexibility : Developers have complete control over the frontend so they can use their preferred tools and frameworks like React, Next.js, Gatsby, or Remix.