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brickster: R Toolkit for 'Databricks'

Collection of utilities that improve using 'Databricks' from R. Primarily functions that wrap specific 'Databricks' APIs (<https://docs.databricks.com/api>), 'RStudio' connection pane support, quality of life functions to make 'Databricks' simpler to use.

Version: 0.2.5
Depends: R (≥ 4.1.0)
Imports: arrow, base64enc, cli, curl, dplyr, glue, httr2, ini, jsonlite, purrr, reticulate, R6 (≥ 2.4.0), rlang, tibble, utils
Suggests: testthat (≥ 3.0.0), huxtable, htmltools, knitr, magick, rmarkdown, rstudioapi, withr
Published: 2024-11-13
DOI: 10.32614/CRAN.package.brickster
Author: Zac Davies [aut, cre], Rafi Kurlansik [aut], Databricks [cph, fnd]
Maintainer: Zac Davies <zac at databricks.com>
License: Apache License (≥ 2)
URL: https://github.com/databrickslabs/brickster
NeedsCompilation: no
Materials: README NEWS
CRAN checks: brickster results

Documentation:

Reference manual: brickster.pdf
Vignettes: Cluster Management (source, R code)
Job Management (source, R code)
Databricks REPL (source, R code)
Connect to a Databricks Workspace (source, R code)

Downloads:

Package source: brickster_0.2.5.tar.gz
Windows binaries: r-devel: brickster_0.2.5.zip, r-release: brickster_0.2.5.zip, r-oldrel: brickster_0.2.5.zip
macOS binaries: r-release (arm64): brickster_0.2.5.tgz, r-oldrel (arm64): brickster_0.2.5.tgz, r-release (x86_64): brickster_0.2.5.tgz, r-oldrel (x86_64): brickster_0.2.5.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=brickster to link to this page.

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.
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