Some thoughts on Tidal after a few weeks of using it after more than a decade on Spotify

This page summarizes the projects mentioned and recommended in the original post on /r/TIdaL

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  • tidal-connect-docker

    This is the dockerized version of Tidal Connect Raspberry binairies. Can be seemlessly used in HifiberryOS or any other RPi based operating system running Docker.

  • Tidal connect: meh. I have several issues with getting it to work. It simply isn't as good as Spotify Connect. Not sure why you can't control any playing devices from any device, maybe to sell more streamers, or have companies pay for the licensing? Last.fm scrobbling isn't integrated on the backend. There are workarounds and you can install local scrobblers for your android app and scrobbling works when controlling a stream via android, but it doesn't work from the desktop (i.e.: you need an instance of tidal running so a scrobbler can pick up the metadata). There are issues with scrobbling from time to time too, but this happens regardless of platform. There isn't an API that will allow all sorts of third party implementations and tools (i.e.: like a last.fm scrobbler that will scrobble regardless of playback source), or an open source client like Raspotify, that will allow a headless rasberrypi act as client. This isn't strictly true, there is a package for hifiberry, but in my experience it isn't really that stable (https://github.com/TonyTromp/tidal-connect-docker) and once again you run into issue that your tracks are not reliably sent to last.fm You can't drag playlists. This isn't a huge deal, but it is kind of annoying. I've had to resort to numbering them. It would also be really nice if you could add playlist images. It gives them a nice personalised touch, especially when your playlists contains albums. Visually, it is also hard to locate different albums when scrolling a playlist. This could be solved by displaying a tiny thumbnail of the track.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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