spark-deequ

 by   data-science-on-aws Python Version: Current License: No License

kandi X-RAY | spark-deequ Summary

kandi X-RAY | spark-deequ Summary

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

spark-deequ
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            kandi-support Support

              spark-deequ has a low active ecosystem.
              It has 3 star(s) with 1 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              spark-deequ has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of spark-deequ is current.

            kandi-Quality Quality

              spark-deequ has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              spark-deequ does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              spark-deequ releases are not available. You will need to build from source code and install.
              spark-deequ has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed spark-deequ and discovered the below as its top functions. This is intended to give you an instant insight into spark-deequ implemented functionality, and help decide if they suit your requirements.
            • Write the runtime configuration file .
            • Copy jars to AWS SDK .
            • Start all daemons
            • Resolve a host name from a given host name .
            • Copy cluster configuration .
            • Get resource configuration .
            Get all kandi verified functions for this library.

            spark-deequ Key Features

            No Key Features are available at this moment for spark-deequ.

            spark-deequ Examples and Code Snippets

            No Code Snippets are available at this moment for spark-deequ.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install spark-deequ

            You can download it from GitHub.
            You can use spark-deequ 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/data-science-on-aws/spark-deequ.git

          • CLI

            gh repo clone data-science-on-aws/spark-deequ

          • sshUrl

            git@github.com:data-science-on-aws/spark-deequ.git

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