R Observatory: Metrics for virtuoso version 0.1.8

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

virtuoso

0.1.8Package record

Interface to 'Virtuoso' using 'ODBC'

0packages depend

2.6Kdownloads / year

35.9%test coverage

13/13flavors OK

Overview

About

Maintained by Carl BoettigerCRAN page ↗GitHub ↗Issues ↗

Provides users with a simple and convenient mechanism to manage and query a 'Virtuoso' database using the 'DBI' (Data-Base Interface) compatible 'ODBC' (Open Database Connectivity) interface. 'Virtuoso' is a high-performance "universal server," which can act as both a relational database, supporting standard Structured Query Language ('SQL') queries, while also supporting data following the Resource Description Framework ('RDF') model for Linked Data. 'RDF' data can be queried using 'SPARQL' ('SPARQL' Protocol and 'RDF' Query Language) queries, a graph-based query that supports semantic reasoning. This allows users to leverage the performance of local or remote 'Virtuoso' servers using popular 'R' packages such as 'DBI' and 'dplyr', while also providing a high-performance solution for working with large 'RDF' 'triplestores' from 'R.' The package also provides helper routines to install, launch, and manage a 'Virtuoso' server locally on 'Mac', 'Windows' and 'Linux' platforms using the standard interactive installers from the 'R' command-line. By automatically handling these setup steps, the package can make using 'Virtuoso' considerably faster and easier for a most users to deploy in a local environment. Managing the bulk import of triples from common serializations with a single intuitive command is another key feature of this package. Bulk import performance can be tens to hundreds of times faster than the comparable imports using existing 'R' tools, including 'rdflib' and 'redland' packages.

Changes in 0.1.8

Bugfix for CRAN's Solaris configuration

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("virtuoso", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("ropensci/virtuoso")

Development version from ropensci/virtuoso. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-virtuoso

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-virtuoso

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-virtuoso

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 8.2 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.8

READMEYes · 369 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.1.8Citation fileNo

The repository also keeps web-only articles.

Help pages: 18 (1 internal)includes a package overview page
Examples that run: 71%12 run in a plain check · 4 only when donttest examples are enabled (R CMD check --as-cran) · 1 never run
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 71%
Help pages citing references: 17%

Vignettes (1)

Installation HTML

How these are measured

Downloads

2.6K

CRAN downloads in the past year

Rank #16,847 · ~7/day · ~219/mo

Releases R versions

Daily download trend is not available in this view yet.

26430 days

73890 days

2.6K1 year

Compare downloads with other packages →

Also on71 r2u15 autocran

How downloads are counted

Repository

ropensci/virtuoso ↗Organization: ropensci

10Stars

4Forks

2Open issues

0Open PRs

2Releases

194Commits

4Commit identities

194 commits · Last activity 2025-04-29 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 96%
Median days to close, 50 most recently updated closed issues: 19
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2023-06-11 · 92026-07-07 · 10

How these are measured

PracticesBeta

13 development-tooling and community-health practices detected across 7 families in the upstream repository

Checks run against github.com/ropensci/virtuoso on 2026-10-11.

Continuous integration (4)

GitHub ActionsR CMD check workflowTravis CI (config file)AppVeyor

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (2)

Code of conductContributing guide

Docs source (3)

README.Rmdpkgdown

GitHub Pages site last deployed 2020-01-10

Coverage (1)

Coverage reporting (Codecov)

Show all practicesHide 3 practices

CRAN release process (1)

cran-comments.md

Research and citation (1)

codemeta.json

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

17 external dependencies (excludes base and recommended)

Installing virtuoso adds 21 packages (14 with compiled code, 8.7 MB of source tarballs). Heaviest: Rcpp 1.8 MB, fs 1.4 MB, vctrs 1.0 MB.

Depends (0)

none

Imports (10)

odbc processx DBIutilsini rappdirs curl fs digest ps

LinkingTo (0)

none

Suggests (8)

knitr rmarkdown nycflights13 testthat covr jsonld dplyr spelling

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (2)

Carl Boettiger

Bryce Mecum

Contributor

Releases (6)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
0.1.8Latest
record
2021-11-02 · current release · diff ↗
0.1.7
record
2021-11-01 · diff ↗
R
R 4.1.0 released · 2021-05-18
0.1.6
record
2021-03-23 · diff ↗
unarchivedReturned to CRAN
2020-09-01
0.1.5
record
2020-09-01 · diff ↗
R
R 4.0.0 released · 2020-04-24
archivedRemoved from CRAN
2020-01-24
check issues were not corrected in time
0.1.4
record
2020-01-10 · diff ↗
R
R 3.6.0 released · 2019-04-26
0.1.3
record
2019-04-06

Show 1 earlier eventHide 1 earlier event

R
R 3.5.0 released · 2018-04-23

Package metadata

First published: 2019-04-06
Total releases: 6 / 7 yrs
License: MIT + file LICENSE OSI
Download size: 101 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("virtuoso")

Format

Boettiger, C., & Mecum, B. (2021). virtuoso: Interface to 'Virtuoso' using 'ODBC' (Version 0.1.8) [Computer software]. https://doi.org/10.32614/CRAN.package.virtuoso

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for virtuoso version 0.1.8 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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