blockr.io
November 30, 2025 ยท View on GitHub
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.