GraphQL VS Jsonnet

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 / 19 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 / 27 days 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 1 month 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

Jsonnet[1] and kapitan[2] are the tools I currently use. Their learning curve is not optimal (and I tried to contribute to smoothen it with a jsonnet course[3] and a 'get started wit kapitan' blog post[4]), but once used to it it's hard to do without, and their combination makes them even more useful (esp. If you deploy K8s). In Ruud's case, Jsonnet might have been worth looking at as Hashicorp tools can be... - Source: Hacker News / 3 months ago

Kubernetes config is a decent example. I had ChatGPT generate a representative silly example -- the content doesn't matter so much as the structure: https://gist.github.com/cstrahan/528b00cd5c3a22e3d8f057bb1a75ea61 Now consider 100s (if not 1000s) of such files. I haven't given Pkl an in depth look yet, but I can say that the Industry Standard™ of "simple YAML" + string substitution (with delicate, error prone... - Source: Hacker News / 3 months ago

Maybe you'd like jsonnet: https://jsonnet.org/ I find it particularly useful for configurations that often have repeated boilerplate, like ansible playbooks or deploying a bunch of "similar-but" services to kubernetes (with https://tanka.dev). Dhall is also quite interesting, with some tradeoffs: https://dhall-lang.org/ A few years ago I did a small comparison by re-implementing one of my simpler ansible... - Source: Hacker News / 8 months ago

Apologies for the lack of context, and for missing this comment until today. Both are tools for defining kubernetes manifests (which are YAML) in a reusable manner. Jsonnet is a formally specified extension of JSON. It’s essentially a functional programming language (w/some object oriented features) that generates config files in JSON/YAML/etc, so it’s straightforward to determine whether an input file is valid,... - Source: Hacker News / 11 months ago

I like Google's Jsonnet [1], which has all of this except for 4. Jsonnet is quite mature, with fairly wide language adoption, and has the benefit of supporting expressions, including conditionals, arithmetic, as well as being able to define reusable blocks inside function definitions or external files. It's not suitable as a serialization format, but great for config. It's popular in some circles, but I'm sad that... - Source: Hacker News / 11 months ago