Package: lbugr 0.1.1

Manuel Wick-Eckl

lbugr: Interface to 'ladybug' Graph Database

Provides a high-performance 'R' interface to the 'ladybug' graph database. Uses the 'reticulate' package to wrap the official Python 'ladybug' client. Enables seamless interaction with 'Ladybug' from within 'R' for managing database connections, executing 'Cypher' queries, and loading data from 'R' data frames. Converts query results into popular 'R' data structures including 'tibble', 'igraph', 'tidygraph', and 'g6R' objects for analysis and visualization workflows.

Authors:Manuel Wick-Eckl [aut, cre, cph]

lbugr_0.1.1.tar.gz
lbugr_0.1.1.tar.gz(r-4.7-any)lbugr_0.1.1.tar.gz(r-4.6-any)
lbugr_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
lbugr/json (API)

# Install 'lbugr' in R:
install.packages('lbugr', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/wickm/lbugr/issues

Pkgdown/docs site:https://wickm.github.io

On CRAN:

Conda:

3.18 score 9 scripts 17 exports 22 dependencies

Last updated from:ad36c1151c. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK160
source / vignettesOK202
linux-release-x86_64OK162
wasm-releaseOK142

Exports:as_igraphas_tidygraphcheck_ladybug_installationlb_connectionlb_copy_from_csvlb_copy_from_dflb_copy_from_jsonlb_copy_from_parquetlb_create_table_from_dflb_executelb_get_alllb_get_column_data_typeslb_get_column_nameslb_get_nlb_get_nextlb_get_schemalb_merge_df

Dependencies:clidigestglueherejsonlitelatticelifecyclemagrittrMatrixpillarpkgconfigpngrappdirsRcppRcppTOMLreticulaterlangrprojroottibbleutf8vctrswithr

Getting Started with lbugr
Introduction | Installation | Basic Usage | 1. Create a Connection | 2. Create a Schema | 3. Load Data | 4. Query Data
Rendered fromgetting-started.Rmdusingknitr::rmarkdown

Last update: 2026-07-11
Started: 2026-07-11

Graph Library Integrations
Introduction | Converting to igraph | Example: Loading and Converting Graph Data | Converting to tidygraph | Example: Converting to tidygraph | Interactive Visualization with g6R | Example: Creating an Interactive g6R Graph
Rendered fromgraph-integrations.Rmdusingknitr::rmarkdown

Last update: 2026-07-11
Started: 2026-07-11

Installation and Basic Usage
1. Connecting to a Database | 2. Data Types and Schema Definition | Ladybug to R Data Type Mapping | Creating a Complex Schema | 3. Loading Data | Loading from a Data Frame | Loading from a CSV File | 4. Executing Queries and Converting Results | A Note on Query Results | Convert to Data Frame or Tibble | Use Query Results returned as list | Convert to Graph Objects
Rendered frominstallation-and-usage.Rmdusingknitr::rmarkdown

Last update: 2026-07-11
Started: 2026-07-11