recipe-tweaker

by j3kstrum Python Version: Current License: MIT

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

kandi X-RAY | recipe-tweaker Summary

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

recipe-tweaker

Support

Quality

Security

License

Reuse

Support

recipe-tweaker 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.

recipe-tweaker has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of recipe-tweaker is current.

Quality

recipe-tweaker has no bugs reported.

Security

recipe-tweaker has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

recipe-tweaker 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

recipe-tweaker releases are not available. You will need to build from source code and install.

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

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recipe-tweaker Key Features

No Key Features are available at this moment for recipe-tweaker.

recipe-tweaker Examples and Code Snippets

No Code Snippets are available at this moment for recipe-tweaker.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install recipe-tweaker

You can download it from GitHub.
You can use recipe-tweaker 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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