unicornify | wonderful unicorn generation script on GitHub

 by   codingisacopingstrategy Python Version: Current License: AGPL-3.0

kandi X-RAY | unicornify Summary

kandi X-RAY | unicornify Summary

unicornify is a Python library. unicornify has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However unicornify build file is not available. You can download it from GitHub.

Took the liberty to put this wonderful unicorn generation script on GitHub :)
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            kandi-support Support

              unicornify has a low active ecosystem.
              It has 32 star(s) with 11 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              unicornify has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of unicornify is current.

            kandi-Quality Quality

              unicornify has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              unicornify is licensed under the AGPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              unicornify releases are not available. You will need to build from source code and install.
              unicornify has no build file. You will be need to create the build yourself to build the component from source.
              unicornify saves you 349 person hours of effort in developing the same functionality from scratch.
              It has 835 lines of code, 82 functions and 6 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed unicornify and discovered the below as its top functions. This is intended to give you an instant insight into unicornify implemented functionality, and help decide if they suit your requirements.
            • Create a random avatar
            • Get background image
            • Randomize this color
            • Randomize cloud positions
            • Draw the image
            • Connect two circles
            • Walks the unicorn
            • Generate a function for interpolation
            • Rotate around a given axis
            • Rotop in the brush
            • Creates eye from data
            • Sets the distance between two points
            • Creates a list of legs
            • Create a mane
            • Generate a function that returns a gamma function
            • Sort the bones
            • Apply a function to a function
            Get all kandi verified functions for this library.

            unicornify Key Features

            No Key Features are available at this moment for unicornify.

            unicornify Examples and Code Snippets

            No Code Snippets are available at this moment for unicornify.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install unicornify

            You can download it from GitHub.
            You can use unicornify 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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            CLONE
          • HTTPS

            https://github.com/codingisacopingstrategy/unicornify.git

          • CLI

            gh repo clone codingisacopingstrategy/unicornify

          • sshUrl

            git@github.com:codingisacopingstrategy/unicornify.git

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