interactive VS Navidrome Music Server

All of this will be accomplished inside of a single Polyglot Notebook. If you're not familiar with Polyglot Notebooks, they're a technology built on top of Jupyter Notebooks that allow you to use additional language kernels, including a F# Kernel. This lets you run interactive data science experiments in a single notebook as shown here in VS Code:

I use .NET on Linux and the experience with Rider has been great. The workflow transfers really well between Mac, Windows, and Linux, and everything works the way you expect. The only problems I run into are that there are still things that are Windows focused. For example MAUI does not run on Linux which is a shame because we could use another cross platform GUI.

There are still bugs, for example I ran into one with Polyglot Notebooks not working on Manjaro or Pop!_OS https://github.com/dotnet/interactive/issues/3159

First of all, if you have a small amount of code that lives in an individual C# file and you wanted to reference it in your notebook, you can do this via the #!import magic command as shown below:

My 2 cents: use a Personal Access Token instead of a password, it is much safer (even though not 100% safe). Some references: https://github.com/dotnet/interactive/discussions/1340 https://learn.microsoft.com/en-us/azure/devops/organizations/accounts/use-personal-access-tokens-to-authenticate

See also https://github.com/dotnet/interactive

U have Powershell notebooks https://github.com/dotnet/interactive

Or Rider or simply install dotnet by itself (very easy) and code in a notepad or VSCode. .NET interactive is another awesome way to start: https://github.com/dotnet/interactive/blob/main/docs/display-output-csharp.md

Hi! My name is Claudia and I am a PM at Microsoft (opinions are my own) working on Polyglot Notebooks in VS Code. Polyglot Notebooks are exactly what you are describing! They are notebooks where you can use multiple languages AND share variables between them to ensure a continuous workflow. Not only that, but each language has language server support. Polyglot Notebooks currently supports C#, F#, PowerShell, JavaScript, HTML, SQL, KQL, and Mermaid.

We have just added support for Python and R integration and I am actually in search of external testers! If you are willing to sign an NDA to try out our Python and R integration and give us feedback please drop your email in the form below and I will reach out with instructions for you to try it out!

https://forms.office.com/r/UQchfQSGa5

If you'd like to start trying it out today you can install the extension from the marketplace here: https://marketplace.visualstudio.com/items?itemName=ms-dotne...

https://github.com/dotnet/interactive

I've been excited about a lot of the work being done in .NET Interactive and Polyglot Notebooks, particuarly with ML with F#. I don't know too much about ML, so I thought I'd check out ML.NET.

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.