On Ubuntu in my personal dev setup I’m totally fine with apt or snap. However when it comes to MLOps where you potentially have to plumb a lot of stuff together there is no way around dockerized software. It’s the defacto standard. Of course there are exceptions to this general best practices e.g. when production code runtime matters (e.g. like when checking and optimizing the prediction time of classifiers on ARM boards, etc.). However obviously the majority of people is not interested in checking and optimizing these kind of things. Otherwise there would be already tooling available w.r.t. this.

Please do not misinterpret my request. I’d never ask for help without giving back either (a) contribution to open source or (b) money for your development effort. I have everything I need right now. And in case I need something I will implement it on my own :slight_smile:

However I saw that you search for sponsors. The effort for setting up and maining MLOps functionality is drastically underestimated. It’s way more efficient to use the generic functionality of a E2E ML Platform and integrate domain, use case, whatever specific stuff on top. And I think there could be huge demand for ROS2 integration with E2E ML Platforms including w.r.t. visualization in the future.