data-science-ipython-notebooks
listenbrainz-server
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| data-science-ipython-notebooks | listenbrainz-server | |
|---|---|---|
| 1 | 61 | |
| 26,459 | 640 | |
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| GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
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data-science-ipython-notebooks
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Beginner in Python for Data Science
data science ipython notebooks
listenbrainz-server
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Analyzing Spotify Stream History
There's also ListenBrainz, run by the MusicBrainz org, which offers similar functionality without API restrictions or other paid features that Last.FM tries to push.
https://listenbrainz.org/
If you wish to use your scrobble data at all programmatically this is a far better tool to use.
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EP Showing Twice
If you really <3 clean data you can give listenbrainz.org a go (you can scrobble to that and last.fm concurrently so no need to ‘jump ship’)
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Seeking Feedback: Tracking Vinyl Listening History
Thanks for sharing, yea listenbrainz.org has been doing some great work. Also has an API which can make things interesting.
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Non-Reddit Ways to find new MV releases?
One way I keep up is using https://listenbrainz.org/ to track my listening habits. Then when you're logged in https://listenbrainz.org/explore/fresh-releases/ will show new releases from artists you listen to, and with KPop you can assume there is video(s) to go with each new release so I just go to youtube then to find them.
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Last.fm is slowly becoming more and more irritating to use
Spotify at least was the problem when there was tons of people complaining daily. But if last.fm is the problem now and otherwise you could try https://listenbrainz.org/ as well. You can even import your last.fm history.
- Can somebody help me find this one kpop website ?
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Last FM is getting to the point where it's not worth the trouble anymore
But if you have issues with last.fm itself there is always ListenBrainz as well. I recommend both to everyone. I scrobble to last.fm, then import to ListenBrainz, but you can send your listens straight to ListenBrainz as well.
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How does Last.fm determine an album? billy woods & Kenny Segal - Maps
listenbrainz.org solves this problem, but it’s not as feature complete as last.fm, yet.
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cool apps/sites to use for finding obscure music.
A friend who's hard into obscura sent me this: https://listenbrainz.org Could be hot, could be not.
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Ah, two of my favourite artists: Jim O'Rourke and Jim O’Rourke
p.s. listenbrainz.org doesn’t have this duplication problem 👍
What are some alternatives?
manjaro-linux - Shell scripts for setting up Manjaro Linux for Python programming and deep learning
Navidrome Music Server - 🎧☁️ Modern Music Server and Streamer compatible with Subsonic/Airsonic
BirdNET - Soundscape analysis with BirdNET.
Surprise - A Python scikit for building and analyzing recommender systems
fugue - A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.
hyperglass - hyperglass is the network looking glass that tries to make the internet better.
kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
mlToolKits - learningOrchestra is a distributed Machine Learning integration tool that facilitates and streamlines iterative processes in a Data Science project.
sports-betting - Collection of sports betting AI tools.
Plex-Audiobook-Guide - A walkthrough for optimal Audiobook experience using Plex
PMapper - A tool for quickly evaluating IAM permissions in AWS.
foo_listenbrainz2 - A foobar2000 component to submit the music you listened to to ListenBrainz.