canuvit | To carry out UVIT safety checks

by prajwel Python Version: 0.5.1 License: Apache-2.0

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

kandi X-RAY | canuvit Summary

canuvit is a Python library. canuvit has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However canuvit build file is not available. You can install using 'pip install canuvit' or download it from GitHub, PyPI.

To carry out UVIT safety checks

Support

Quality

Security

License

Reuse

Support

canuvit has a low active ecosystem.

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

There were 1 major release(s) in the last 12 months.

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

It has a neutral sentiment in the developer community.

The latest version of canuvit is 0.5.1

Quality

canuvit has no bugs reported.

Security

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

License

canuvit is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

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

Deployable package is available in PyPI.

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

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canuvit Key Features

No Key Features are available at this moment for canuvit.

canuvit Examples and Code Snippets

No Code Snippets are available at this moment for canuvit.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install canuvit

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