3
I Use This!
Low Activity
Analyzed about 6 hours ago. based on code collected about 6 hours ago.

Project Summary

Although computers have transformed how we listen to, obtain, compose, and notate music, they have not fundamentally changed how we research and analyze music. Though many computer databases have been created for musicology, they are not well adapted for sophisticated music queries. For instance, melodies can be found if exact matches exist. But melodic variations such as the repetition of a phrase or a change in embellishment are extremely common, yet cause searches to fail. More complex investigations, such as finding all melodies that imply a particular underlying harmony, can barely begin to be created with existing software packages. The lack of relevant software for analyzing music hampers scientific attempts to understand what we listen for and how we process what we hear; these act

Tags

audio composition lilypond music musicology musictheory musicxml python

MIT
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These details are provided for information only. No information here is legal advice and should not be used as such.

Project Security

Vulnerabilities per Version ( last 10 releases )

There are no reported vulnerabilities

Project Vulnerability Report

Security Confidence Index

Poor security track-record
Favorable security track-record

Vulnerability Exposure Index

Many reported vulnerabilities
Few reported vulnerabilities

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About Project Security

Languages

XML
78%
Python
22%
5 Other
<1%

30 Day Summary

Jan 8 2025 — Feb 7 2025

12 Month Summary

Feb 7 2024 — Feb 7 2025
  • 93 Commits
    Down -205 (68%) from previous 12 months
  • 5 Contributors
    Down -10 (66%) from previous 12 months