Streamlined Interface to Interact with Cloud Storage Platforms.

cloudfs

cloudfs is an R package developed by Gradient Metrics that offers a unified interface for simplifying cloud storage interactions. cloudfs supports uploading, downloading, reading, and writing files for both Google Drive and Amazon S3.

Installation

# from CRAN
install.packages("cloudfs")

# from GitHub
remotes::install_github("g6t/cloudfs")

Key Features

1. Relative path simplicity

   Use paths relative to your project's main cloud folder.

   cloud_drive_download("raw_data/transactions.xlsx")
   

2. Unified interface for Google Drive and S3

   Downloading from S3? The process is just as straightforward.

   cloud_s3_download("raw_data/transactions.xlsx")
   

3. Extension-aware functions

   The package automatically selects the right read or write function based on the file extension, simplifying your interactions.

   cloud_s3_write(glmnet_model, "models/glmnet.rds")
   

   If you don't like the default function, you can use a different one by explicitly calling it.

   cloud_s3_write(glmnet_model, "models/glmnet.rds", fun = readr::write_rds)
   

4. Effortless cloud navigation

   Open folders in browser

   cloud_drive_browse("plots")
   

   or list contents in console.

   cloud_s3_ls("data")
   

5. Bulk file management

   Easily retrieve all data from a folder in one go

   all_data <- 
     cloud_s3_ls("data") %>%
     cloud_s3_read_bulk()
   

   or push multiple files to the cloud at once.

   cloud_local_ls("plots") %>% cloud_drive_upload_bulk()