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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

Relative path simplicity

Use paths relative to your project’s main cloud folder.
```
cloud_drive_download("raw_data/transactions.xlsx")
```
Unified interface for Google Drive and S3

Downloading from S3? The process is just as straightforward.
```
cloud_s3_download("raw_data/transactions.xlsx")
```
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)
```
Effortless cloud navigation

Open folders in browser
```
cloud_drive_browse("plots")
```
or list contents in console.
```
cloud_s3_ls("data")
```

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()

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.