musiclang_predict | Prediction library of musiclang

by MusicLang Python Version: Current License: MIT

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

kandi X-RAY | musiclang_predict Summary

musiclang_predict is a Python library. musiclang_predict has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install musiclang_predict' or download it from GitHub, PyPI.

This library is the prediction module from musiclang (

Support

Quality

Security

License

Reuse

Support

musiclang_predict has a low active ecosystem.

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

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of musiclang_predict is current.

Quality

musiclang_predict has no bugs reported.

Security

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

License

musiclang_predict 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

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

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

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musiclang_predict Key Features

No Key Features are available at this moment for musiclang_predict.

musiclang_predict Examples and Code Snippets

No Code Snippets are available at this moment for musiclang_predict.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install musiclang_predict

You can install using 'pip install musiclang_predict' or download it from GitHub, PyPI.
You can use musiclang_predict 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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