Class_net

by WildfootW Python Version: Current License: MIT

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

kandi X-RAY | Class_net Summary

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

Class_net

Support

Quality

Security

License

Reuse

Support

Class_net has a low active ecosystem.

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

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of Class_net is current.

Quality

Class_net has no bugs reported.

Security

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

License

Class_net 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

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

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

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Class_net Key Features

No Key Features are available at this moment for Class_net.

Class_net Examples and Code Snippets

No Code Snippets are available at this moment for Class_net.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install Class_net

You can download it from GitHub.
You can use Class_net 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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