Fancy library for music recommendations, based on datamining algorithms
Project description
Introduction
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 http://www.readthedocs.org:
Tests are run on every commit via http://travis-ci.org:
Screenshot of the Demo GUI
The Demo GUI is based on moosecat. Source code is available in the naglfar branch, under moosecat/naglfar/main.py.
Installation
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-mirrorsOptional modules and modules useful for Data-Retrieval
$ sudo pip install -r pip_optional_requirements.txt --use-mirrors
