hvcc VS PyJNIus

Also check this project:

https://github.com/enzienaudio/hvcc

The heavy hvcc compiler for Pure Data patches. Very useful for working with embedded devices, which is also my current focus.

There was this https://github.com/enzienaudio/hvcc

FYI, you can't run SuperCollider on microcontrollers, it requires a desktop OS. So usually modules that run it have some SOC with Linux. Also, PureData on MCUs is not the same thing that you run on desktop, it's using a compiler called Heavy that has some restrictions (not every object is supported)

I am not aware of any good example code for this, but you can access platform-specific APIs with pyjnius (android) and pyobjus (ios). This should allow you to implement fingerprint authentication using Google/Apple APIs for those platforms -- for Windows, Linux, MacOS you probably will need to research other solutions for doing this with Python (it doesn't really involve kivy)

[INFO]: -> running basename https://github.com/kivy/pyjnius/archive/1.3.0.zip

In terms of Kivy and Android, there are two main repositories worth checking out. The first is pyjnius which is a bridge to the Android APIs, and the second is plyer which uses pyjnius to implement Android-specific features (see plyer/platforms/android directory)

I have never used KeyStore to be clear, but yes, you would use pyjnius to access native Android classes/services. Just a quick google landed this issue which contains some partial autoclass that probably is something like how you'd do this..