Experimental Boost.DI VS ZXing

I love: https://github.com/boost-ext/di for dependency injection

https://github.com/boost-ext/di (To detect constructor parameters and inject dependencies without runtime dispatch)

I was looking to try boost.di for some time, looks nice. https://boost-ext.github.io/di/

Things like Dependency Injection/Inversion are a little more cumbersome in C++ but certainly can be done, and I believe there's libraries for that as well (found a couple searching around, like fruit and boost-ext di ).

Dependency injection does not have to be dynamic, it can totally be done at compile time. Boost DI is an example: https://boost-ext.github.io/di/

Funny you mention dependency injection, proposed Boost.DI shall be up for Boost peer review probably in March. https://boost-ext.github.io/di/

The biggest difference between the two plugins is the SDK used to recognise the barcodes. The Capacitor Community Barcode Scanner plugin currently uses the ZXing decoder and the Capacitor ML Kit Barcode Scanning plugin uses the ML Kit from Google.

This is using Excel, but it is still VBA, https://www.youtube.com/watch?v=NIFjw8z__dI they're utilizing a third-party library called ZXing which is available on GitHub https://github.com/zxing/zxing

I'm sure it works, but thezxing github project appears in maintenance mode, so I'm not sure i should use it in a new project

PyXing (website here) is supposedly a Python port of the popular Java ZXing library, but the initial and only commit is 6 years old and the project has no readme or documentation whatsoever.