music_theory | Simple Interval and Chord Ear Training

by PaulJuliusMartinez Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | music_theory Summary

music_theory is a Python library. music_theory has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However music_theory build file is not available. You can download it from GitHub.

Simple Interval and Chord Ear Training.

Support

Quality

Security

License

Reuse

Support

music_theory has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

music_theory has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of music_theory is current.

Quality

music_theory has no bugs reported.

Security

music_theory has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

music_theory is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

music_theory releases are not available. You will need to build from source code and install.

music_theory has no build file. You will be need to create the build yourself to build the component from source.

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music_theory Key Features

No Key Features are available at this moment for music_theory.

music_theory Examples and Code Snippets

No Code Snippets are available at this moment for music_theory.

Community Discussions

No Community Discussions are available at this moment for music_theory.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install music_theory

You can download it from GitHub.
You can use music_theory like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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