Analyze your favorite music

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  • License: MIT
  • Author: Quinten Roets
  • Requires: Python >=3.10
  • Provides-Extra: ci, dev

Project description

Music

PyPI version PyPI downloads Python version Operating system Coverage

example view

A project to analyze your favorite music

The package achieves this by:

  • Letting you select your favorite artists in a web interface
    • Search for new artists with search bar
    • Click on suggestions provided by AI recommender system
  • Downloading the songs of your favorite artists
    • All songs if the artist is marked as favorite
    • Top 10 songs otherwise
  • Letting you select your favorite songs to download in a web interface
  • Postprocessing the downloaded songs:
    • Adding lyrics, title, ...
    • Setting the modified time to the release date of the song
      • useful for ordering
  • Keeping track of all downloaded songs and only downloading new songs

Usage

  1. Start webapp to manage liked/favorite artists: 
    music-webapp
  2. Download new songs: 
    music

progress example

Set the following variables in your environment:

  • SPOTAPI_ID:
  • SPOTAPI_SECRET

obtain here

Installation

pip install musicmaster

Project details

Verified details

These details have been verified by PyPI
Project links
GitHub Statistics
Maintainers
Avatar for Quinten from gravatar.com Quinten

Unverified details

These details have not been verified by PyPI
Meta
  • License: MIT
  • Author: Quinten Roets
  • Requires: Python >=3.10
  • Provides-Extra: ci, dev

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This version

1.4.0

1.3.2

1.3.1

1.3.0

1.2.15

1.2.14

1.2.13

1.2.12

1.2.11

1.2.10

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1.2.3

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1.2.1

1.2.0

1.1.14

1.1.13

1.1.12

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  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.6

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