conda-recipes | Conda recipes for VACUMM packages

by VACUMM Python Version: Current License: No License

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

kandi X-RAY | conda-recipes Summary

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

Conda recipes for VACUMM packages

Support

Quality

Security

License

Reuse

Support

conda-recipes has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

conda-recipes has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of conda-recipes is current.

Quality

conda-recipes has no bugs reported.

Security

conda-recipes has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

conda-recipes does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

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

Installation instructions, examples and code snippets are available.

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conda-recipes Key Features

No Key Features are available at this moment for conda-recipes.

conda-recipes Examples and Code Snippets

No Code Snippets are available at this moment for conda-recipes.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install conda-recipes

You can download it from GitHub.
You can use conda-recipes 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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