fdroiddata | main F-Droid repository

by indicproject Python Version: Current License: GNU AGPLv3

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

kandi X-RAY | Data Summary

Data is a Python library. Data has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However Data build file is not available. You can download it from GitLab.

Data for the main F-Droid repository at https://f-droid.org

Support

Quality

Security

License

Reuse

Support

Data has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of Data is current.

Quality

Data has no bugs reported.

Security

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

License

Data is licensed under the GNU AGPLv3 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

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

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

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Data Key Features

No Key Features are available at this moment for Data.

Data Examples and Code Snippets

No Code Snippets are available at this moment for Data.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install Data

You can download it from GitLab.
You can use 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 GitLab. If you have any questions check and ask questions on community page Stack Overflow .

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