i've tried grocy a few times over and it's burned a lot of time and brain cells. is there anything that does this (or even much less than this) and just works?
i understand why it was made this complex - i code and i work with people who want everything to be so theoretically 'flexible' that nothing simple works, so i'm used to the abstraction layers. but
- first try: looked at number and size of packages, no tree-shaking, code doesn't pass sniff test. dozens of megabyes for this? nope
- second try: well i don't want to build this myself. i'll put it in its own instance to minimize security exposure. but hey, this release is months old and these terrible bugs have been fixed, i'll just grab newer code. missed the thing where database migrations are tested only from official releases. database breaks.
- i learn sqlite syntax and reconstruct the database.
- months later i download new grocy android client, which expects a v4 grocy back end. all recipes break.
- i download official grocy v4 release (the third one in rapid succession, due to major bugs - luckily i hadn't tried too early).
- database breaks.
i'm done. i don't care that i lose the work i already put into it. i just want to open the cupboard twice and have the same thing be there both times. help
You could give KitchenOwl a try (disclaimer: I'm the developer). Has apps for iOS/android and other platforms.
looks great! the catch for me is that my current host doesn't have docker support. your dependencies don't look crazy so in theory i could burst it and install directly to the host environment, but at that point i'm giving myself grocy-level headaches.
reading about docker-capable hosts, i was surprised to see them starting at 1GB RAM - i couldn't run pac-man in that. what would be a reasonable expectation for kitchenowl?
Thanks! I've explained how to manually install here in a bit more details. But I wouldn't recommend it, like you said it will be annoying to manage if something changes, and I honestly would stick with grocy in that case as you don't loose all your recipes and so on.
Python is not the ram friendliest language so it's using somewhere around 200-400mb of ram. Although there seems to be a bug for some people where it uses much more.