spotifyr VS fma

Compare spotifyr vs fma and see what are their differences.

Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
spotifyr fma
4 1
365 2,108
- -
0.0 0.0
over 1 year ago over 1 year ago
R Jupyter Notebook
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

spotifyr

Posts with mentions or reviews of spotifyr. We have used some of these posts to build our list of alternatives and similar projects.

fma

Posts with mentions or reviews of fma. We have used some of these posts to build our list of alternatives and similar projects.
  • Analyzing music to determine subgenre?
    1 project | /r/datascience | 24 Mar 2021
    This dataset seems worth looking into: https://github.com/mdeff/fma. I think you'll have a hard time identifying subgenres since even people don't know what subgenre a song belongs to. It's a very subjective classification compared to distinguishing between main genres; e.g. rock, rap, and country. Also, from my work with the Spotify API, there a lot of seemingly synonymous subgenres which will make this task even more tedious (what is the difference between "pop dance" and "dance pop"?).

What are some alternatives?

When comparing spotifyr and fma you can also consider the following projects:

madmom - Python audio and music signal processing library

mac-miller-lyrics-dataset - Dataset with lyrics from Mac Miller

awesome-deep-learning-music - List of articles related to deep learning applied to music

SKAB - SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.

toiletmap - API/UI server for the Great British Public Toilet Map

essentia - C++ library for audio and music analysis, description and synthesis, including Python bindings

covid19za - Coronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa

clusterdata - cluster data collected from production clusters in Alibaba for cluster management research

TheVault - [EMNLP 2023] The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation