helmut | Deine Zauber binden wieder , was die Mode streng geteilt

by juergens Python Version: Current License: GNU GPLv3

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

kandi X-RAY | helmut Summary

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

Deine Zauber binden wieder, was die Mode streng geteilt

Support

Quality

Security

License

Reuse

Support

helmut 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.

There are 6 open issues and 0 have been closed. On average issues are closed in 88 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of helmut is current.

Quality

helmut has no bugs reported.

Security

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

License

helmut is licensed under the GNU GPLv3 License. This license is Strong Copyleft.

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

Reuse

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

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

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helmut Key Features

No Key Features are available at this moment for helmut.

helmut Examples and Code Snippets

No Code Snippets are available at this moment for helmut.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install helmut

You can download it from GitLab.
You can use helmut 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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