Dat VS GraphQL

Yes there are some really interesting projects, also in the ML replicability space. One really nice approach is the DAT project [1]. The protocol [2] looks pretty sensible and useful. Unfortunately, the tooling has been in such a state of permanent flux (i.e. Perpetual deprecation) that I've never bothered to invest much time. [1] https://datproject.org/ [1] https://datproject.org/. - Source: Hacker News / about 2 years ago

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. - Source: dev.to / 27 days ago

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. - Source: dev.to / about 1 month ago

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. - Source: dev.to / about 1 month ago

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. - Source: dev.to / about 2 months ago

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:. - Source: dev.to / 7 months ago