refine_viaf | No longer maintained. Please use conciliator instead.

 by   codeforkjeff Java Version: 0.5 License: GPL-3.0

kandi X-RAY | refine_viaf Summary

kandi X-RAY | refine_viaf Summary

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

No longer maintained. Please use conciliator instead.

            kandi-support Support

              refine_viaf has a low active ecosystem.
              It has 27 star(s) with 2 fork(s). There are 3 watchers for this library.
              It had no major release in the last 12 months.
              There are 1 open issues and 2 have been closed. On average issues are closed in 4 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of refine_viaf is 0.5

            kandi-Quality Quality

              refine_viaf has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              refine_viaf is licensed under the GPL-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

              refine_viaf 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 are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed refine_viaf and discovered the below as its top functions. This is intended to give you an instant insight into refine_viaf implemented functionality, and help decide if they suit your requirements.
            • This method is used to format a search result
            • Compute the Levenshtein distance between two strings
            • Return the exact name or null if not found
            • Computes the Levenshtein distance between two strings
            • Waits for the cache expire
            • Returns a copy of this cache
            • Expires entries
            • Associates the name IDs associated with a VIAF
            • Parse a string representation of the source id
            • Process a start element
            • Gets the path
            • Read an input stream into a string
            • Calls the method
            • Process an end element
            • Displays debug information
            • Creates a result based on a search query
            Get all kandi verified functions for this library.

            refine_viaf Key Features

            No Key Features are available at this moment for refine_viaf.

            refine_viaf Examples and Code Snippets

            No Code Snippets are available at this moment for refine_viaf.

            Community Discussions

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

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


            No vulnerabilities reported

            Install refine_viaf

            You can install using 'pip install refine_viaf' or download it from GitHub, PyPI.
            You can use refine_viaf like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the refine_viaf component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer For Gradle installation, please refer .


            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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          • PyPI

            pip install refine_viaf

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          • CLI

            gh repo clone codeforkjeff/refine_viaf

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