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blockr.io provides file I/O blocks for reading and writing data in various formats. Load CSV, Excel, Parquet, and more through visual interfaces - no code required.

Installation

install.packages("blockr.io")

Or install the development version from GitHub:

# install.packages("pak")
pak::pak("BristolMyersSquibb/blockr.io")

Getting Started

library(blockr.io)
serve(new_board())

This opens a visual interface in your browser. Add blocks using the “+” button and connect them to build data pipelines.

Available Blocks

Read Block

Load data from multiple sources with automatic format detection:

  • From Browser: Upload files via drag-and-drop (persisted across sessions)
  • From Server: Browse the file system directly
  • From URL: Download data from web URLs

Supports CSV, Excel, Parquet, Feather, JSON, SPSS, Stata, SAS, and more.

Write Block

Export data to various formats with two output modes:

  • To Browser: Download files directly (recommended for most users)
  • To Server: Write to the file system (for automated pipelines)

Supports CSV, Excel, Parquet, and Feather. Multiple inputs become Excel sheets or ZIP archives.

Learn More

See vignette("blockr-io-showcase") for screenshots and detailed examples.

The blockr.io website includes full documentation. For the workflow engine, see blockr.core.