Software Alternatives, Accelerators & Startups

Spotify-qt VS Gnoosic

Compare Spotify-qt VS Gnoosic and see what are their differences

Spotify-qt logo Spotify-qt

A Spotify client using Qt as a simpler, lighter alternative to the official client, inspired by spotify-tui.

Gnoosic logo Gnoosic

Even if you don't know what you are looking for - gnod will find it.
  • Spotify-qt Landing page
    Landing page //
    2023-09-08
  • Gnoosic Landing page
    Landing page //
    2021-09-19

Category Popularity

0-100% (relative to Spotify-qt and Gnoosic)
Music
35 35%
65% 65
Audio Player
33 33%
67% 67
Audio & Music
0 0%
100% 100
Spotify
100 100%
0% 0

User comments

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Social recommendations and mentions

Spotify-qt might be a bit more popular than Gnoosic. We know about 4 links to it since March 2021 and only 3 links to Gnoosic. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Spotify-qt mentions (4)

  • Trying to make e ink device with Linux. Kind of lost
    If you want to run Spotify on a Raspberry (or PinePhone or some other device), there’s Spot, which is great, but kinda heavy and slow. There’s Spotify-qt which is faster, requires messing with Spotify developer dashboard, and UI doesn’t fit on small screens. Spotify-qt is itself based on Spotify-tui which runs in the terminal (pretty cool IMO). And a bare client/daemon is spotifyd. So you have quite a few choices... Source: over 1 year ago
  • Flatpak Spotify vs Tab in Firefox browser
    Would like to add that you can also use clients such as spotify-qt and Spotify TUI to control said "device". There's also Spot and psst that are standalone (librespot not required but no Connect functionality). Source: over 1 year ago
  • Dear Spotify. Can we just get table of songs?
    I have been using spotify-qt[1] lately. It's quite close to the original client from more than 10 years ago. 1. https://github.com/kraxarn/spotify-qt. - Source: Hacker News / almost 2 years ago
  • linux good windows bad
    You could use an an unofficial client, for example: - Spot (GTK, can stream directly) - spotify-qt (QT, just a Spotify connect frontend, so you need something like spotifyd running) - spotify-tui (terminal, again just a Spotify connect frontend) - spotifyd (daemon that is controlled via Spotify connect). Source: over 2 years ago

Gnoosic mentions (3)

  • like you do-Joji n About Us- the 1975
    I'd recommend visiting gnoosic.com and adding Joji/The 1975 etc. Into the algorithm to generate similar artist recommendations. Alternatively, you could probably type generic keywords into Spotify like 'young love' or 'the one that got away' and find some relevant playlists there. Source: over 1 year ago
  • Listen to Suishou no Fune!
    After LRD's songs were removed from Spotify I really had nothing that sounded like them to listen to except the recent version of White Awakening. About a week ago I discovered a website called gnoosic that recommends music based on a few bands you like. I put in LRD and it recommended Suishou no Fune so I checked them out. They sound so much like LRD and I finally found some LRD-esque music to listen to. If you... Source: over 2 years ago
  • Share your favourite site, best one I like will get Gold
    My whole life changed when I found this website. Source: about 3 years ago

What are some alternatives?

When comparing Spotify-qt and Gnoosic, you can also consider the following products

PSST - Fast Spotify client with native GUI, without Electron, built in Rust.

Music-Map - The Music-Map is the Tourist Map of Music, part of Gnod, the Global Network of Discovery.

Spot by Alexandre Trendel - Native Spotify client for the Gnome desktop

TasteDive - TasteDive recommends similar music (musicians, bands), movies, TV shows, books, authors and games, based on what you like.

AudioTube - Client for YouTube Music

BandNext - Discover bands that sound similar to artists you already love with BandNext. A single click saves your results to a Youtube playlist.