Snapcast VS Navidrome Music Server

https://github.com/badaix/snapcast!

Works perfectly on pis scattered around the house.

Snapcast: The cheapest and most modular option is deploying small form factor linux clients (raspberry pis, or any host all) with an audio interface (3.5mm, RCA, or otherwise), and connect the audio output interface to your choice of speaker. Snapcast is the open-source multi-room brains. It works well in my experience, but it is tricky to get setup properly to start with. Spotify Connect support is possible so you can launch your Spotify listening session from the Spotify app. Snapcast also integrates into Home Assistant for ease of adding/removing clients from the active listening sessions (yes, plural. You can have multiple listening sessions from multiple audio input sources at once).

- snapcast - this server/client software will broadcast synchronized audio from any source to any snapcast client. The server and clients can all run on the same computer. Individual clients are assigned to their own usb soundcard. Source and volume for each client is controlled through the webpage and/or homeassistant.

I have a music library on my home server that I use mopidy to play via the iris plugin integrated into my home assistant UI. It plays over Snapcast which streams over the network to multiple devices in the home with independent volume control. I can fire up the Snapcast client in my phone to get it going there as well, which does work over vpn if I'm away, though I generally just fire up the files from my phones SD card for out-of-home listening. I recently started using whipper on Linux to extract audio from craigslist cds.

https://mopidy.com/

https://mopidy.com/ext/iris/

https://github.com/badaix/snapcast

https://github.com/whipper-team/whipper

You want SnapCast. You'd run snapserver on your Linux box and snapclient on your Pi's. Snapserver has support for Airplay (via shairport-sync) and Spotify (via librespot). I recommend using MPD for your music library, as I don't think PlexAmp can output audio in a way that's useful for snapserver.

Instead of splitting audio from the jack output you can create a Little network with a router and have more rpi streaming music over It using snapcastsnapcast .

If you're into the idea of an open-source client/server architecture, then there's Snapcast. If you have a few Raspberry Pis (one per output source) or any other box that can run Linux and has an audio out interface, then this is cheap and easy with an active Home Assistant integration too.

I'm setting up a whole home audio set up and looking for suggestions in the design. Currently, I run Snapcast on Raspberry pis connected to various soundbars or amps. It's working ok, but has issues (Mostly on some of the 2.4GHz WiFi Pis that can't keep up with the bandwidth).

For the multi-room audio, check out snapcast. If you like it, we could try to convince the Symfonium dev to add the ability to cast music directly to snapcast, which I would love to have!

My primary way to play music is from my self-hosted navidrome[1] server with my collection of albums I've mostly purchased from bandcamp. I can stream it to many different devices at home or on the go.

But sitting next to my bed is a Walkman (actually a $10 Jensen version) with a few of my favorite cassettes in the nightstand drawer. Granted, I listen to raw black metal, so the format fits the music well, but I really enjoy just popping in a cassette and hitting play. When I "metaltate", I listen to full albums and do not want to ever be interrupted or have skipping audio due to bluetooth or anything else. It is a really simple and great experience.

Would I ever take my walkman with me or want to carry around a bunch of tapes on a trip? Of course not! But it does have a time and place that is valuable.

When friends come over, we use either vinyl or my custom built RFID cards. There is more of a ceremony to digging through a physical stack of albums and being forced to listen to the album front to back.

[1] https://www.navidrome.org/

Basically, you run a server on your Mac that scans your music collection and "broadcasts" it to the network (LAN or WAN) via either the venerable UPnP/DLNA[1] family of technologies or the newish Subsonic API[2]. Of course, there are others, like DAAP or AURA, etc..

From there, you need to point a compatible player to said server to play your music on any supported device.

If you want to listen to your music on the go, pairing a Subsonic-compatible server on your Mac and a Subsonic-compatible app on your iPhone is probably the way to go. On the server side, I have only used the original Subsonic[3], which was good, but Navidrome[4] seems to be OK. But be aware that the whole "scene" is super messy and fragmented, with the usual abandoned forks of open source alternatives of everything.

Note that this means opening your local network, which comes with its own complexity.

This r/selfhosted thread[5] should give you an idea.

My use case is slightly different. I only care about streaming to my Denon CEOL mini system, which only supports UPnP/DLNA, so my current setup is:

- All my music is stored on a 2011 Mac Mini,

- I use Kazoo Server[6] (not perfect but reliable) to stream it to my audio system,

- which I control via the HEOS app provided by Denon.

Whatever stack you choose, make sure your files are tagged correctly and consistently.

[1] https://en.wikipedia.org/wiki/DLNA

[2] http://www.subsonic.org/pages/api.jsp

[3] http://www.subsonic.org/pages/index.jsp

[4] https://www.navidrome.org/

[5] https://old.reddit.com/r/selfhosted/comments/pz9dpb/lets_mak...

[6] https://docs.linn.co.uk/wiki/index.php/Kazoo_Server_setup_Ma...

[Scanner] Fix Windows scanner (#2633). Thanks @caiocotts

EDIT: This version has a bug when running on Windows that breaks your database! I deleted the Windows binary from the download page and will publish a fix very soon. For details see: https://github.com/navidrome/navidrome/issues/2630

Jellyfin is great for movies & shows. As an anecdote, it's not so good for music if you're a collector. I personally use Navidrome for that[0].

Anyway, Sonarr[1] makes use of .NET, too. Very reliable software, in my experience.

[0]: https://github.com/navidrome/navidrome

I am running ND via the docker container (deluan/navidrome:latest which is 0.49.3 (8b93962f) at the time of this writing) and interact with ND using the web interface.