ccp-recipes | Autopkg recipes for Creative Cloud Packager workflows

 by   mosen Python Version: Current License: Apache-2.0

kandi X-RAY | ccp-recipes Summary

kandi X-RAY | ccp-recipes Summary

ccp-recipes is a Python library typically used in Docker, Ubuntu applications. ccp-recipes has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However ccp-recipes build file is not available. You can download it from GitHub.

Autopkg recipes for Creative Cloud Packager workflows
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    Quality
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            kandi-support Support

              ccp-recipes has a low active ecosystem.
              It has 30 star(s) with 2 fork(s). There are 14 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 24 have been closed. On average issues are closed in 80 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of ccp-recipes is current.

            kandi-Quality Quality

              ccp-recipes has 0 bugs and 0 code smells.

            kandi-Security Security

              ccp-recipes has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              ccp-recipes code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              ccp-recipes 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

              ccp-recipes releases are not available. You will need to build from source code and install.
              ccp-recipes has no build file. You will be need to create the build yourself to build the component from source.
              ccp-recipes saves you 471 person hours of effort in developing the same functionality from scratch.
              It has 1110 lines of code, 31 functions and 12 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed ccp-recipes and discovered the below as its top functions. This is intended to give you an instant insight into ccp-recipes implemented functionality, and help decide if they suit your requirements.
            • Set up build paths
            • Generate automation manifest
            • Check whether the Adobe Creative Desktop App is installed
            • Check if AppNap is disabled
            • Modify OptionXML
            • Add panel masking configuration
            • Suppress CcDA
            • Remove ASU packages
            • Main entry point
            • Process Acrice installer
            • Create pkginfo
            • Process the HD installer
            • Run the processor
            • Fetch data from feed
            • Generate feed URL
            • Cache the result of a product
            Get all kandi verified functions for this library.

            ccp-recipes Key Features

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

            ccp-recipes Examples and Code Snippets

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

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install ccp-recipes

            You can download it from GitHub.
            You can use ccp-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 .
            Find more information at:

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            CLONE
          • HTTPS

            https://github.com/mosen/ccp-recipes.git

          • CLI

            gh repo clone mosen/ccp-recipes

          • sshUrl

            git@github.com:mosen/ccp-recipes.git

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