Analyze music with a large dataset that includes thousands of tracks and albums.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeFMA: A Dataset For Music Analysis
fma has 2.6k stars on GitHub. It has been forked 455 times. fma is written mainly in Jupyter Notebook. It has been in active development since 2016. fma is available under the MIT license. Its main topics are dataset, deep-learning, music-analysis, music-information-retrieval.
FMA: A Dataset For Music Analysis
fma is an open-source project. It is released under the MIT license.
Yes. fma is free and open source — you can use, modify and self-host it.
fma is available under the MIT license.
fma is written mainly in Jupyter Notebook.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/mdeff-fma.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.