Allows users to import reusable hooks for common tasks such as authentication. Example from React-firebase-hooks: https://github.com/CSFrequency/react-firebase-hooks/tree/master/auth

RNFirebase currently support android & ios. it would be great if RNFirebase can support desktop version as well.

I am not able to install @react-native-firebase/analytics on my react native tvOS project. Is this supported ?

Right now the whole Javascript stack trace is based on the index.bundle js which does not really help in tracing down to which file + line of the source code file the error comes from. It would be more ideal if we take reference from the sourcemap file

Could you please add support for: https://firebase.google.com/docs/ml-kit/use-custom-models

I'm using the v6 and TS typings are a bit broken. I think migrating the source code to TypeScript could help in many aspects: Immediately catch type errors; More signal, less noise (because a lot of duck typing won't be needed anymore); Self-documenting nature of static typing will make it a lot easier for other people to contribute; Less chances of accidentally breaking things during refactorings. Those are only some of the benefits. There are other less important ones like better IDE experience and not needing to keep separate, unsynced d.ts files. If you think it's a good idea, I may be able to help with PRs.

The Firebase SDK has exposed a withConverter() method, on a Document/CollectionReference and Query, since 7.6.0 ( https://firebase.google.com/support/release-notes/js#cloud-firestore_15 ) It would be great to see that exposed in react-native-firebase. API Reference here: https://firebase.google.com/docs/reference/js/firebase.firestore.FirestoreDataConverter

RNfirebase only supports Native Express Ads which will be deprecated soon. Is there a plan to add the new native format?

In June Google decided to split the ML Kit's on-device functions to a separate SDK, which means the firebase functions for it won't get any updates anymore and probably won't work at some point. Do you have any plans of integrating the standalone ML Kit as well for keeping the on-deivce operations functioning?

any plans to support App Check security feature to protect backend resources from abuse