azure-inject-script | linux script to fit Azure template customData attribute

by nisnis84 Python Version: Current License: MIT

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

kandi X-RAY | azure-inject-script Summary

azure-inject-script is a Python library. azure-inject-script has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However azure-inject-script build file is not available. You can download it from GitHub.

Convert any linux script to fit Azure template customData attribute in mainTemplate.json and inject it to a Linux VM

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Support

azure-inject-script 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.

azure-inject-script has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of azure-inject-script is current.

Quality

azure-inject-script has no bugs reported.

Security

azure-inject-script has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

azure-inject-script is licensed under the MIT License. This license is Permissive.

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

Reuse

azure-inject-script releases are not available. You will need to build from source code and install.

azure-inject-script has no build file. You will be need to create the build yourself to build the component from source.

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azure-inject-script Key Features

No Key Features are available at this moment for azure-inject-script.

azure-inject-script Examples and Code Snippets

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Community Discussions

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

Vulnerabilities

No vulnerabilities reported

Install azure-inject-script

You can download it from GitHub.
You can use azure-inject-script 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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