I use that lyrics plugin and it works great. Basically you just enable it in navidrome and in your configuration you set the lyrics priority. I have it set so its lrc -> txt -> plugin -> embedded so if i have lrc/txt lyrics already it pulls those and if not the plugin will search. If plugin fails it will check for anyvembedded lyrics. This works with my feishin (pc) and symfonium (android) apps if I'm on my network or vpn'ed in (i don't expose my server).
Another thing you can do is use the LRCGET app which can bulk download them.
I haven't touched the ELRC lyrics yet but will look into pulling those
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My music is on my PC hard drive and synced to my server. Last year I spent a few weeks tagging my old stuff and i tried beets, kid3, and picard but ended up liking picard the most just since it was a lot better at grouping albums together and finding the best matches ime. Any new music is tagged with picard. Then i run a navidrome docker container with the music library mounted. And i use feishin for desktop and symfonium for mobile use.
I imagine it's like the Active Noise Canceling (ANC) mode of headphones which will monitor background noise and then calculate the inverse sound wave and play that sound to you which in effect mostly cancels out the background noise (works better for certain frequencies than others). For a microphone they could do the same but instead of playing you the inverse sound, they could play it through the microphone for whomever is listening.
Navidrome exposes the folder structure via the subsonic api, and any compatible app can then display folders if they want. Both symfonium (mobile) and feishin (desktop) have folder support.
Are there any good apps for android for navidrome/jellyfin respectively?
Symfonium is paid but by far the best i tried. Will work with both via subsonic api.
how easy can I add songs to them/do they pull metadata from somewhere (like jellyfin does for movies)
I use navidrome and can't speak to jellyfin. Navidrome is intentionally read-only for security reasons so you add music to where navidrome can see it and it'll auto-scan them in. For metadata my recommendation is musicbrainz picard. A lot of people recommend beets and it can be good but it's a big learning curve. Musicbrainz picard has a nice gui and easier to get music matched for beginners.
how do they (or any other options) compare in terms of ease of setup/maintainability?
From what i see people use jellyfin because they don't want "yet another container" and most people already have jellyfin for other media content. So that would be easiest route. Navidrome isn't hard to set up though, and overall has a better feel for me.
do you have any overall recommendations?
Look into LRCGET to get the timesynced and/or plaintext lyrics of your songs. There's also a navidrome plugin that will automatically fetch the lyrics when a song is played
Edit: for desktop id recommend feishin. It'll work with both through subsonic api
In your docker-compose.yaml you need to add in your directory if you haven't already
diff
services:
immich-server:
volumes:
# Do not edit the next line. If you want to change the media storage location on your system, edit the value of UPLOAD_LOCATION in the .env file
- ${UPLOAD_LOCATION}:/usr/src/app/upload
- /etc/localtime:/etc/localtime:ro
+ # Add NAS pictures and videos folders to use as External Libraries
+ - "/volume1/data/ Pictures:/usr/src/app/library/pictures"
Then in immich you need to add this as an external library. Click your profile icon -> administration -> external library -> create library. It will ask for a path and you need to use the library mount point within docker which was /usr/src/app/library/pictures from my example. Click add path
In machine learning Accuracy means the correct % of overall classifications. There's some other terms like:
Precision which is the % of correctly identified positives divided by the number of positive classifications. A high precision score would mean that of everyone who flagged as a match you had relatively few who were not actual shoplifters.
Recall (true positive rate) which is the % of correctly identified positives divided by all actual positives. A high recall score measures how many shoplifters you caught and would minimize false negatives, but at the cost of more false positives.
So in the case of classification of shoplifters ideally you would focus on Precision as false positives are undesired, but if a company doesn't care about false positives as much as getting the shoplifters they'd focus on Recall. In either event, Accuracy is a poor metric to use or advertise in an imbalanced data set like shoplifting as most customers are not shoplifters so even if the model didn't classify anyone as a shoplifter they'd still be 99+% accurate.
Hugo (markdown) files that i host on my internal server.
how you organize it
I use basic directory structure. Top level directories are like "dev", "home", "general". Self hosting is a dev/ subdir.
what information you include
Depends on how familiar i am with it and how often I'll be referencing it. Something i know well or access often will be more high level. Things like an annual process i have documented in more detail
how you work documentation into your changes/tinkering flow
My site has an "edit this page" feature which i use to open my IDE and make the change as I'm doing things. Sometimes I'll be lazy and just add in what i did this time and then let future me reconcile the differences 🙃
To be fair MS makes orders of magnitude more money and has the benefit of operations at scale. Whereas codeberg's operational budget for 2025 was 100k euro and they still need to deal with DDoS and bot scraping. They also were running off a single server up until sept'25 when they had two donated hardware services which are now hooked up to make a 3 node ceph cluster.
Yup! Mostly symfonium since i mostly use my phone for music. Started using feishin recently for desktop use and have been really impressed with it. I can recommend both!
for music both jellyfin and navidrome are subsonic API compatible for use with mobile and desktop apps (like symfonium and feishin). Some people choose to just use jellyfin instead of a dedicated music service. Personally i still run navidrome for music. I give some thoughts on that here
I use that lyrics plugin and it works great. Basically you just enable it in navidrome and in your configuration you set the lyrics priority. I have it set so its lrc -> txt -> plugin -> embedded so if i have lrc/txt lyrics already it pulls those and if not the plugin will search. If plugin fails it will check for anyvembedded lyrics. This works with my feishin (pc) and symfonium (android) apps if I'm on my network or vpn'ed in (i don't expose my server).
Another thing you can do is use the LRCGET app which can bulk download them.
I haven't touched the ELRC lyrics yet but will look into pulling those