cloudvision | Vision About NVDA addon

by alekssamos Python Version: v3.0.1.2 License: MIT

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

kandi X-RAY | cloudvision Summary

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

Vision About NVDA addon

Support

Quality

Security

License

Reuse

Support

cloudvision has a low active ecosystem.

It has 6 star(s) with 7 fork(s). There are 4 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 2 have been closed. On average issues are closed in 223 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of cloudvision is v3.0.1.2

Quality

cloudvision has no bugs reported.

Security

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

License

cloudvision 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

cloudvision releases are available to install and integrate.

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

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cloudvision Key Features

No Key Features are available at this moment for cloudvision.

cloudvision Examples and Code Snippets

No Code Snippets are available at this moment for cloudvision.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install cloudvision

You can download it from GitHub.
You can use cloudvision 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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