react-relay VS react-apollo

GraphQL Relay is one of the most powerful GraphQL clients that you can found on the web environment. It provides to you a lot of features that lets your development flow in a scalable way.

GQty (https://gqty.dev/) and Relay (https://relay.dev/) will combine fragments or queries you request in your React components and will handle combining these / getting the data each component needs with as few queries as is possible. Are there any other clients I’ve missed? It’s not immediately clear to me whether this is possible with Urql via Exchanges (https://formidable.com/open-source/urql/docs/advanced/authoring-exchanges/).

Inside Woovi, our entire codebase is managed by GraphQL using the Relay client framework. To ensure the best UX possible for our final user, we give some useful features in our payment link, like the real-time update after paying a charge. It's all handled by our GraphQL, which won't be solvable by templates in our use case.

Since you mentioned Node CRUD APIs, I'd probably suggest looking at Relay/GraphQL. Would give you exposure to some interesting and employable skills that wouldn't require you learning an entirely new domain on top of it. They are rewriting the current compiler in Rust, which since you mentioned Rust might be interesting to follow. Uneducated takes, but GraphQL is a schema IDL, so would probably be a good place to start to minimize lexical complexity while still having some cool abstract concepts to learn (interfaces, unions, etc).

You may be familiar with Global Object Identification(GOI), especially if you've used Relay.

Relay (17k ⭐) -> The production-ready GraphQL client for React, developed by Facebook, was designed to be performant from the ground up, built upon locally declaring data dependencies for components.

I think open sourcing for free labor is a common misconception. Most corporate led open source projects (eg, https://github.com/bottlerocket-os/bottlerocket from AWS or https://github.com/facebook/relay from Facebook) still require a team of employees.

If you look at relay.dev, Relay is the GraphQL client that scales with you. This definition is simple and defines Relay pretty well for the ones that already know all the features that Relay brings to the table.

https://github.com/psf/black/issues/338 https://github.com/VeriorPies/ParrelSync/issues/61 https://github.com/prusa3d/PrusaSlicer/issues/5751 https://github.com/iterative/dvc/issues/2530 https://github.com/facebook/relay/issues/3647 And I know godmode9 at one point absolutely freaked when navigating into a symlink. It kinda depends on the app and what it's trying to load

This apollo issue matches my problem: https://github.com/apollographql/react-apollo/issues/2866

We’re heavy users of Apollo GraphQL in my team at Swarmia, but sometimes mocking the queries is bothersome. And based on a few GitHub comments, it looks like we’re not alone. This blog post is here to help!

I'm using the awesome https://github.com/apollographql/react-apollo library and I'm trying to see if there is a better convention to load data into components than how I'm doing it now.

Hello guys, I'm working with GraphQL using Apollo Client and facing a big issue but haven't found a fix yet. The problem is with fetchMore callback. This trigger twice, one is the original call, second is the call with new variables. But onComplete only return the response of the original one. When I use nextFetchPolicy: "cache-first" it not trigger the original variables anymore, but the onComplete doesn't return the result of new call. I've looking for a solution on the internet and found this: https://github.com/apollographql/react-apollo/issues/2177 But a few years passed and there aren't any explain or fix. It makes me nervous about choosing apollo client for long-term usage. Can you suggest a client that still has maintainers?

React Apollo fits perfectly the requirements, and it now supports Hooks for your GraphQL operations.

I've been using Apollo for a couple of years now, and it is infamously nebulous when it comes to moderately complex real-world scenarios, such as parameterized queries. There are many years-spanning github issues on this problem alone, with barely any maintainable solutions proffered. I've written a lengthy guide that explains exactly how Apollo's InMemoryCache works under the hood and how to sanely solve these caching issues.