graphql-go VS foundation

And gqlgen is not alone in this. We found several more GraphQL frameworks that don’t take it upon themselves to address this problem. Widely used GraphQL server implementations, such as graphql-go/graphql and Python’s graphene, have the exact same gap of exposing messages of unexpected errors by default.

I have briefly looked into this and leaning towards GraphQL Go but don't yet know how it'll all come together. I'd prefer to stick with GraphQL if I can without it getting messy.

The tutorial uses the https://github.com/graphql-go/graphql

graphql-go. I use this to help me to implement the GraphQL.

I've done a bit of research and have found 99designs/gqlgen and graphql-go/graphql but I would like to hear from your experience.

Dude to readability and friendliness being my biggest concern, I decided to use https://github.com/graphql-go/graphql. First drawback I noticed is that you don’t have the option for a playground baked into your server. I’ve been using hoppscotch for testing my operations as a workaround. Only real struggle I faced was dealing with nullable arguments, but I grew to realize that it’s more of a feature

Best resource for learning stuff is the docs imo. The most popular library currently for graphql in Go is this one GitHub graphql-go/graphql.

For my current project we use ent (https://entgo.it) + gqlgen and its a really nice combo. As well as the two other popular graphql libraries for go (https://github.com/graphql-go/graphql and https://github.com/graph-gophers/graphql-go), I’ve also kept my eyes on graphjin (https://github.com/dosco/graphjin) and thunder (https://github.com/samsarahq/thunder) but to me there is no reason to not use ent with gqlgen - it’s just so nice :)

gqlgen is GraphQL server library. There are some graphql libraries for golang such as graphql-go/graphql. But I selected gqlgen becuase I really like a point of generating code after I defined schema.

A GraphQL server as an API Gateway for REST endpoints using graphql-go/graphql

GraphQL is a query language and runtime for APIs. It provides a flexible and efficient way for clients to request and retrieve specific data from a server using a single API endpoint.

When you use technologies like GraphQL, it is trivial to derive TypeScript types. A GraphQL API is created by implementing a schema. Generating the TypeScript type definitions from this schema is simple, and you do not have to do any more work than just making the GraphQL API. This is one reason why I like GraphQL so much.

REST and GraphQL have advantages, drawbacks, and use cases for different environments. REST is for simple logic and a more structured architecture, while GraphQL is for a more tailored response and flexible request.

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.

In my usual NodeJS tech stack, which includes GraphQL, NestJS, SQL (predominantly PostgreSQL with MikroORM), I encountered these limitations. To overcome them, I've developed a new stack utilizing Rust, which still offers some ease of development:

At Woovi we are GraphQL lovers, hence we develop many helpers around this tool to bring a good developer experience.

A query language for APIs that allows clients to request only the data they need. It provides a more flexible and efficient alternative to RESTful APIs. GraphQL provides a single endpoint for multiple data sources, making it efficient for clients to retrieve only the necessary information forexample if a Node.js microservice uses GraphQL, a client can send a query to request specific data, and the GraphQL service will fetch the required information from the underlying data sources and respond accordingly.

This approach is particularly beneficial for teams looking to enhance their digital presence without the need for extensive coding or software development. By leveraging the GraphQL API endpoint, developers can prepare and execute queries to retrieve the desired content. This makes the Headless Channel a valuable tool 🔨 for content managers and developers, offering ease of use and practicality.

To know about Graphql and why it's being used head over to for more details, Now let's cut to the chase.

GraphQL is an excellent choice for real-time data synchronization in React Native apps. By using GraphQL, you can retrieve precisely the data you need and receive updates in real-time, reducing network usage and providing a seamless user experience.