pins: Pin, Discover and Share Resources

Publish data sets, models, and other R objects, making it easy to share them across projects and with your colleagues. You can pin objects to a variety of "boards", including local folders (to share on a networked drive or with 'DropBox'), 'RStudio' connect, Amazon S3, and more.

Version: 1.0.0
Depends: R (≥ 3.3.0)
Imports: arrow, cli, digest, ellipsis, filelock, fs, glue, httr, jsonlite, lifecycle, magrittr, mime, openssl, rappdirs, rlang (≥ 0.4.10), tibble, whisker, withr, yaml, zip
Suggests: Microsoft365R, AzureStor, data.table, datasets, knitr, mockery, paws.storage, qs, R.utils, rmarkdown, rsconnect, shiny, testthat (≥ 3.0.0), xml2
Published: 2021-10-02
Author: Hadley Wickham ORCID iD [aut, cre], Javier Luraschi [aut], RStudio [cph]
Maintainer: Hadley Wickham <hadley at rstudio.com>
BugReports: https://github.com/rstudio/pins/issues
License: Apache License (≥ 2)
URL: https://github.com/rstudio/pins
NeedsCompilation: no
Materials: README NEWS
CRAN checks: pins results

Documentation:

Reference manual: pins.pdf
Vignettes: Upgrading to pins 1.0.0
Get started with pins
RStudio Connect

Downloads:

Package source: pins_1.0.0.tar.gz
Windows binaries: r-devel: pins_1.0.0.zip, r-release: pins_1.0.0.zip, r-oldrel: pins_1.0.0.zip
macOS binaries: r-release (arm64): pins_1.0.0.tgz, r-release (x86_64): pins_1.0.0.tgz, r-oldrel: pins_1.0.0.tgz
Old sources: pins archive

Reverse dependencies:

Reverse imports: torchdatasets
Reverse suggests: specmine, tfhub

Linking:

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