MGNM | Open source data and code of the MGNM

by WHUIR Python Version: Current License: MIT

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

kandi X-RAY | MGNM Summary

MGNM is a Python library. MGNM has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Open source data and code of the MGNM. The paper link:

Support

Quality

Security

License

Reuse

Support

MGNM has a low active ecosystem.

It has 19 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 2 have been closed. On average issues are closed in 23 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of MGNM is current.

Quality

MGNM has no bugs reported.

Security

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

License

MGNM 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

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

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

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MGNM Key Features

No Key Features are available at this moment for MGNM.

MGNM Examples and Code Snippets

No Code Snippets are available at this moment for MGNM.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install MGNM

You can download it from GitHub.
You can use MGNM 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 .

Find more information at: