lego_operator | Charmed K8s operator for LEGO

by ghislainbourgeois Python Version: Current License: Apache-2.0

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

kandi X-RAY | lego_operator Summary

lego_operator is a Python library. lego_operator has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

TODO: Describe your charm in a few paragraphs of Markdown.

Support

Quality

Security

License

Reuse

Support

lego_operator has a low active ecosystem.

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

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of lego_operator is current.

Quality

lego_operator has no bugs reported.

Security

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

License

lego_operator is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

Build file is available. You can build the component from source.

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lego_operator Key Features

No Key Features are available at this moment for lego_operator.

lego_operator Examples and Code Snippets

No Code Snippets are available at this moment for lego_operator.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install lego_operator

You can download it from GitHub.
You can use lego_operator 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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