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Fancy library for music recommendations, based on datamining algorithms

Project description


libmunin is a fancy music recommendations library which is based on datamining algorithms of all kind. Bonus: It’s able to learn from you! I write it for my bachelor thesis and therefore it’s still in developement.

Documentation is build on every commit

Tests are run on every commit via

Screenshot of the Demo GUI

demo gui screenshot

The Demo GUI is based on moosecat. Source code is available in the naglfar branch, under moosecat/naglfar/


Travis Page PyPI package link Number of PyPI downloads

Required externam programs

The moodbar binary is required for gthe mood-analysis. Future versions might implement the mood-analysis themselves, or at least package it along libmunin.

Your distribution might package it or you can compile it from here:

The moodbar is not strictly required but recommended.

Required Python Modules

All modules are Python3 compatible:

$ sudo pip install -r pip_requirements.txt --use-mirrors

Optional modules and modules useful for Data-Retrieval

$ sudo pip install -r pip_optional_requirements.txt --use-mirrors

Project details

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Source Distribution

libmunin-0.06.tar.gz (91.1 kB view hashes)

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