join-monster VS json-api

GraphQL could be efficiently translated into SQL and things certainly try, but the only thing close to a "bulletproof" implementation I found was Join Monster (https://github.com/join-monster/join-monster) in NodeJS-land and even that I think is now mostly abandoned. GraphQL as a system was built assuming random-access to data stores is ~free because that's what Facebook has, but the rest of us don't :)

REST is not a strict specification and it's not a single implementation, you can just start doing it.

That said, I wouldn't recommend going the allow everything flexible resolver way like GraphQL: it's terrible for performance (eg. most APIs use N+1 queries unless you have something like https://github.com/join-monster/join-monster), the complexity of the codebase skyrockets and having to specify all the fields you want is not exactly ergonomic in most situations.

In addition to saving you time on boilerplate, the API provided by Hatchify fully implements the JSON: API specification, which stipulates solid standards to define the peculiarities of CRUD REST APIs. Get back all the time spent bike-shedding how to implement standard API features like filtering, pagination, including related data, etc. JSON: API offers consistent practices for frontend and backend developers to agree on how resources are fetched and returned. Since Hatchify provides the core of your API for you, you can count on it’s standardized functionality to give your API a consistent start.

-JSON:API format responses (https://jsonapi.org) for better standardization.

Built using Ruby on Rails, Sunnybox is designed to offer a powerful yet easy-to-use solution for developers managing email systems.

I'd really appreciate your feedback on:

- The API's user-friendliness and efficiency.

https://github.com/json-api/json-api/issues/795

There is an atomic operations extension:

JSON:API to format each message

As we’re building a RESTful API that’s formatted by the JSON:API specification and store our data in a MySQL8 relational database, a few things were pretty straightforward – we need a new model and we’ll name it Custom Field (naming wasn’t an issue here 🥲).

I found json api spec[1] recently. This kind of is better standard for REST APIs. It is bit rough to handle client side but once you get the hang of it, it is breeze to use

[1] https://jsonapi.org/

That's it! Now we have a complete set of RESTful CRUD APIs at "/api/zen" that conforms to the JSON:API specification, and the access policies fully protect the APIs. The API provides rich filtering and relation-fetching capabilities. The following are some examples; you can find more details here.

Does this have any relation to https://jsonapi.org/ ?

Basic REST and JSON RPC are very simple to start with, but have common problems when application gets bigger. How do you represent relations, pagination, filtering etc? My go-to specification for structuring JSON documents is https://jsonapi.org/ It covers most basic needs of a standard API.