configurator | A Python library for handling configuration files

by simplistix Python Version: Current License: MIT

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

kandi X-RAY | configurator Summary

configurator is a Python library. configurator has no bugs, it has build file available, it has a Permissive License and it has low support. However configurator has 4 vulnerabilities. You can download it from GitHub.

A Python library for handling configuration files.

Support

Quality

Security

License

Reuse

Support

configurator has a low active ecosystem.

It has 36 star(s) with 5 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 2 have been closed. On average issues are closed in 78 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of configurator is current.

Quality

configurator has no bugs reported.

Security

configurator has 4 vulnerability issues reported (0 critical, 4 high, 0 medium, 0 low).

License

configurator 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

configurator 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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configurator Key Features

No Key Features are available at this moment for configurator.

configurator Examples and Code Snippets

No Code Snippets are available at this moment for configurator.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install configurator

You can download it from GitHub.
You can use configurator 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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