grayskull | Grayskull : skull : - Recipe generator for Conda

 by   conda-incubator Python Version: 2.2.2 License: Apache-2.0

kandi X-RAY | grayskull Summary

kandi X-RAY | grayskull Summary

grayskull is a Python library. grayskull has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install grayskull' or download it from GitHub, PyPI.

Grayskull is an automatic conda recipe generator. The main goal of this project is to generate concise recipes for conda-forge. The Grayskull project was created with the intention to eventually replace conda skeleton. Presently Grayskull can generate recipes for Python packages available on PyPI and also those not published on PyPI but available as GitHub repositories. Future versions of Grayskull will support recipe generation for packages of other repositories such as CRAN and Conan etc..
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            kandi-support Support

              grayskull has a low active ecosystem.
              It has 189 star(s) with 38 fork(s). There are 6 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 30 open issues and 156 have been closed. On average issues are closed in 310 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of grayskull is 2.2.2

            kandi-Quality Quality

              grayskull has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              grayskull 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.

            kandi-Reuse Reuse

              grayskull releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed grayskull and discovered the below as its top functions. This is intended to give you an instant insight into grayskull implemented functionality, and help decide if they suit your requirements.
            • Return the git version and tag for the given tag
            • Fetch latest metadata from a GitHub repo
            • Get the most similar tag in a repo
            • Fetch all tags from GitHub
            • Search for a license file
            • Returns a list of all available license names
            • Return the short license id
            • Match a license
            • Generate Grays from a list of packages
            • Get metadata for current user
            • Add extra sections to the recipe
            • Get GitHub user name from GitHub
            • Print the requirements
            • Check if a package is available
            • Return an instance of cls
            • Create a new Recipe from a given repo type
            • Get the value of a variable in the recipe
            • Create a progressbar with progress bar
            Get all kandi verified functions for this library.

            grayskull Key Features

            No Key Features are available at this moment for grayskull.

            grayskull Examples and Code Snippets

            No Code Snippets are available at this moment for grayskull.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install grayskull

            It is possible to install this project using pip:.

            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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            Install
          • PyPI

            pip install grayskull

          • CLONE
          • HTTPS

            https://github.com/conda-incubator/grayskull.git

          • CLI

            gh repo clone conda-incubator/grayskull

          • sshUrl

            git@github.com:conda-incubator/grayskull.git

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