icns-python

by suny-downstate-medical-center Python Version: v1.0 License: No License

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

kandi X-RAY | icns-python Summary

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

icns-python

Support

Quality

Security

License

Reuse

Support

icns-python has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 4 watchers for this library.

It had no major release in the last 12 months.

icns-python has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of icns-python is v1.0

Quality

icns-python has no bugs reported.

Security

icns-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

icns-python does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

icns-python releases are available to install and integrate.

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

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

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icns-python Key Features

No Key Features are available at this moment for icns-python.

icns-python Examples and Code Snippets

No Code Snippets are available at this moment for icns-python.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install icns-python

You can download it from GitHub.
You can use icns-python 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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