The Hobbyist

Would you be able to share more info? I remember reading their issues with docker, but I don’t recall reading about whether or what they switched to. What is it now?

A while back I was looking for a FOSS EDA and saw overwhelming support for Kicad, but some people reluctantly supported it exactly due to poor UX/UI. I was looking for something easy to pick up and I stumbled on LibrePCB and they are very user friendly to me. If you need particularly advanced features or depend on large existing libraries it may not be for you but for smaller hobby projects I think it’s great.

Perhaps worth a shot?

In December they pushed a pretty big update with many new features: https://librepcb.org/blog/2024-12-01_release_1.2.0/

Regarding photos, and videos specifically:

I know you said you are starting with selfhosting so your question was focusing on that, but I would like to also share my experience with ente which has been working beautifully for my family, partner and myself. They are truly end to end encrypted, with the source code available on github.

They have reasonable prices. If you feel adventurous you can actually also host it yourself. They have advanced search features and face recognition which all run on device (since they can’t access your data) and it works very well. They have great sharing and collaborating features and don’t lock features behind accounts so you can actually gather memories from people on your quota by just sharing a link. You can also have a shared family plan.

Ollama is very useful but also rather barebones. I recommend installing Open-Webui to manage models and conversations. It will also be useful if you want to tweak more advanced settings like system prompts, seed, temperature and others.

You can install open-webui using docker or just pip, which is enough if you only care about serving yourself.

Edit: open-webui also renders markdown, which makes formatting and reading much more appealing and useful.

Edit2: you can also plug ollama into continue.dev, an extension to vscode which brings the LLM capabilities to your IDE.

Seems the chapter for Jellyfin has been “coming soon” for 3 years, too bad.

https://docs.ombi.app/settings/jellyfin/

I’m not saying it’s not true, but nowhere on that page is there the word donation. And if it is, the fact that it is described and a license, tied to a server or a user causes a lot of confusion to me, especially when combined with the fact that there is no paywall but that it requires registration.

Why use the term license, server and user? Why not simply say donation and with the option of displaying the support by getting exclusive access to a badge like signal does?

Again, I’m very happy immich is free, it is great software and it deserves support but this is just super confusing to me and the buy.immich.app link does not clarify things nor does that blog post.

Edit: typo

Hi and thank you so much for the fantastic work on Immich! I’m hoping to get a chance to try it out soon, with the first stable release!

One question on the financial support page: is it not a donation? There is a per server and a per user purchase, but I thought immich was exclusively self hosted, is it not? Or is this more like a way to say thanks while giving some hints as to how immich is being used privately? Or is there a way to actually pay to have immich host a server for one?

Thanks for clarifying!

The interface called open-webui can run in a container, but ollama runs as a service on your system, from my understanding.

The models are local and only answer queries by default. It all happens on the system without any additional tools. Now, if you want to give them internet access, you can, it is an option you have to setup and open-webui makes that possible though I have not tried it myself. I just see it.

I have never heard of any llm “answer base queries offline before contacting their provider for support”. It’s almost impossible for the LLM to do it by itself without you setting things up for it that way.

whats great is that with ollama and webui, you can as easily run it all on one computer locally using the open-webui pip package or in a remote server using the container version of open-webui.

Ive run both and the webui is really well done. It offers a number of advanced options, like the system prompt but also memory features, documents for RAG and even a built in python ide for when you want to execute python functions. You can even enable web browsing for your model.

I’m personally very pleased with open-webui and ollama and they both work wonders together. Hoghly recommend it! And the latest llama3.1 (in 8 and 70B variants) and llama3.2 (in 1 and 3B variants) work very well, even on CPU only, for the latter! Give it a shot, it is so easy to set up :)