Pin, Discover and Share Resources

Pin remote resources into a local cache to work offline, improve speed and avoid recomputing; discover and share resources in local folders, 'GitHub', 'Kaggle' or 'RStudio Connect'. Resources can be anything from 'CSV', 'JSON', or image files to arbitrary R objects.


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Reference manual

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install.packages("pins")

0.4.5 by Hadley Wickham, 4 months ago


https://github.com/rstudio/pins


Report a bug at https://github.com/rstudio/pins/issues


Browse source code at https://github.com/cran/pins


Authors: Hadley Wickham [aut, cre] , Javier Luraschi [aut] , RStudio [cph]


Documentation:   PDF Manual  


Apache License 2.0 license


Imports backports, base64enc, crayon, digest, filelock, fs, httr, jsonlite, magrittr, mime, openssl, rappdirs, stats, withr, yaml, zip

Suggests callr, covr, data.table, knitr, rmarkdown, R6, stringi, tibble, testthat, xml2


Imported by BFS, connections, polyglot, torchdatasets.

Suggested by specmine, tfhub.


See at CRAN