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neo4r: A 'Neo4J' Driver

A Modern and Flexible 'Neo4J' Driver, allowing you to query data on a 'Neo4J' server and handle the results in R. It's modern in the sense it provides a driver that can be easily integrated in a data analysis workflow, especially by providing an API working smoothly with other data analysis and graph packages. It's flexible in the way it returns the results, by trying to stay as close as possible to the way 'Neo4J' returns data. That way, you have the control over the way you will compute the results. At the same time, the result is not too complex, so that the "heavy lifting" of data wrangling is not left to the user.

Version: 0.1.1
Imports: attempt, data.table, glue, httr, igraph, jsonlite, magrittr, purrr, R6, rlang, rstudioapi, shiny, tibble, tidyr, tidyselect, utils
Published: 2019-02-15
DOI: 10.32614/CRAN.package.neo4r
Author: Colin Fay ORCID iD [cre, aut], ThinkR [cph], Neo4J [spn]
Maintainer: Colin Fay <contact at colinfay.me>
BugReports: https://github.com/neo4j-rstats/neo4r/issues
License: MIT + file LICENSE
URL: https://github.com/neo4j-rstats/neo4r
NeedsCompilation: no
Materials: NEWS
CRAN checks: neo4r results

Documentation:

Reference manual: neo4r.pdf

Downloads:

Package source: neo4r_0.1.1.tar.gz
Windows binaries: r-devel: neo4r_0.1.1.zip, r-release: neo4r_0.1.1.zip, r-oldrel: neo4r_0.1.1.zip
macOS binaries: r-release (arm64): neo4r_0.1.1.tgz, r-oldrel (arm64): neo4r_0.1.1.tgz, r-release (x86_64): neo4r_0.1.1.tgz, r-oldrel (x86_64): neo4r_0.1.1.tgz
Old sources: neo4r archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.