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Fancy library for music recommendations, based on datamining algorithms

Project Description

Introduction

Note

This library is in a very early developement stage and far from being usable.

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:

http://libmunin.readthedocs.org/en/latest/

Tests are run on every commit via http://travis-ci.org:

https://travis-ci.org/sahib/libmunin

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:

http://pwsp.net/~qbob/moodbar-0.1.2.tar.gz

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
Release History

Release History

This version
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0.06

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0.06d

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0.06c

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0.06b

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0.06a

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0.05

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0.05a

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0.04

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0.03a

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0.02

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0.01

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0.01a

Download Files

Download Files

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
libmunin-0.06.tar.gz (91.1 kB) Copy SHA256 Checksum SHA256 Source Mar 12, 2014

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