puma | puma is a command line tool for interfacing with nova

by joelbm24 Python Version: Current License: No License

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

kandi X-RAY | puma Summary

puma is a Python library. puma has no bugs and it has low support. However puma has 5 vulnerabilities and it build file is not available. You can download it from GitHub.

puma is a command line tool for interfacing with nova

Support

Quality

Security

License

Reuse

Support

puma has a low active ecosystem.

It has 2 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of puma is current.

Quality

puma has no bugs reported.

Security

puma has 5 vulnerability issues reported (0 critical, 4 high, 1 medium, 0 low).

License

puma 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

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

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

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puma Key Features

No Key Features are available at this moment for puma.

puma Examples and Code Snippets

No Code Snippets are available at this moment for puma.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install puma

You can download it from GitHub.
You can use puma 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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