grandma_data

by grandma-collaboration Python Version: Current License: No License

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

kandi X-RAY | grandma_data Summary

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

grandma_data

Support

Quality

Security

License

Reuse

Support

grandma_data has a low active ecosystem.

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

It had no major release in the last 6 months.

grandma_data has no issues reported. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of grandma_data is current.

Quality

grandma_data has no bugs reported.

Security

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

License

grandma_data 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

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

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

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grandma_data Key Features

No Key Features are available at this moment for grandma_data.

grandma_data Examples and Code Snippets

No Code Snippets are available at this moment for grandma_data.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install grandma_data

You can download it from GitHub.
You can use grandma_data 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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