This is a good point, the client is an important consideration. My setup is the similar, with Jellyfin running in docker in an Ubuntu Proxmox VM (host system CPU is an i7-6700t), but the client is an Nvidia Shield Pro, which so far has been able to handle everything Jellyfin throws at it, with the exception of AV1.
Vikunja is great. Classic tasks, Gantt, tables and kanban - take your pick. Very stable as well, have been using it for years now.
How about a dreamatorium in a linen closet?
It is my time to shine! I’ve had 3 3D printers thus far: I started with an Ender 3 Pro that I modified extensively, converting it to direct drive, 3D printed belt tensioners, cable chains, fan ducts, upgraded board with quiet drivers, and a Raspberry Pi running Klipper. All of the modifications led to a decrease in quality over time.
I also had a Qidi for a while, and it was…fine. Not great, but serviceable. Not super repairable or upgradeable, and I had to use their version of the Cura slicer, which they did not do a good job of keeping up to date.
When the Ender 3 Pro started to become unreliable, I switched to the Elegoo Neptune 4 Pro, which is basically the final form of what I was trying to turn the Ender into, plus a bit extra. From the factory, it has direct drive, linear rails, runs klipper, has automatic bed leveling, filament runout detection, etc. It does NOT have wifi, but does have an ethernet port, which I prefer.
Using Fluidd is much better than Octoprint, and I’ve finally switched away from using Cura and am a convert to OrcaSlicer, which is EXCELLENT. It can send prints directly to the printer as well. It’s a great combination that I’m having a lot of fun with.
Full disclosure: I recently discovered that the version of Klipper this printer uses is out of date (2022) and does not fully comply with the klipper license, which I am NOT a fan of, but there is a very well documented way to “upgrade” to a “de-Elegood”, fully operational Klipper.
This is a good point, the client is an important consideration. My setup is the similar, with Jellyfin running in docker in an Ubuntu Proxmox VM (host system CPU is an i7-6700t), but the client is an Nvidia Shield Pro, which so far has been able to handle everything Jellyfin throws at it, with the exception of AV1.