cayley | An open-source graph database | Database library

 by   cayleygraph Go Version: v0.7.7 License: Apache-2.0

kandi X-RAY | cayley Summary

kandi X-RAY | cayley Summary

cayley is a Go library typically used in Database applications. cayley has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Cayley is an open-source database for Linked Data. It is inspired by the graph database behind Google's Knowledge Graph (formerly Freebase). WARNING! The project is not actively developed anymore. We are seeking for a new maintainer, see #963.
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              cayley has a medium active ecosystem.
              It has 14574 star(s) with 1281 fork(s). There are 592 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 85 open issues and 399 have been closed. On average issues are closed in 348 days. There are 11 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of cayley is v0.7.7

            kandi-Quality Quality

              cayley has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              cayley 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

              cayley releases are available to install and integrate.
              It has 35267 lines of code, 2422 functions and 231 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

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            cayley Key Features

            No Key Features are available at this moment for cayley.

            cayley Examples and Code Snippets

            No Code Snippets are available at this moment for cayley.

            Community Discussions

            QUESTION

            How can I get all the tree graphs given a certain numbers of nodes? Networkx
            Asked 2020-May-31 at 14:33

            I was wondering is there a way to obtain all the different trees using Networkx? It's a known fact that the number of trees with n nodes is n^(n-2) (using Cayley's Formula) so if there is 3 nodes, then it has 3 tree graphs, if it has 4 nodes then it has 16 trees and so on. What I want is to code all the trees using the prufer sequence, I know that Networkx has a function to create random trees, but there is a chance I can get duplicates, all I can think of is use Numpy so I can find all the unique elements in a list, here is my code:

            ...

            ANSWER

            Answered 2020-May-31 at 14:33

            This might be a bit bruteforcy, and there might be built-in functionality or a more elegant approach that I am missing, but it certainly is better than randomly generating the trees: You can use itertools to generate pairwise combinations and filter out duplicates and self-pointing loops:

            Source https://stackoverflow.com/questions/62116491

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

            Vulnerabilities

            No vulnerabilities reported

            Install cayley

            You can download it from GitHub.

            Support

            Website: cayley.ioSlack: cayleygraph.slack.com -- Invite hereDiscourse list: discourse.cayley.io (Also acts as mailing list, enable mailing list mode)Twitter: @cayleygraphInvolvement: Contribute
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            CLONE
          • HTTPS

            https://github.com/cayleygraph/cayley.git

          • CLI

            gh repo clone cayleygraph/cayley

          • sshUrl

            git@github.com:cayleygraph/cayley.git

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