cynkra

blockr: No-Code Data Pipelines

Build visual data workflows by connecting blocks. Powered by R, accessible to everyone.

blockr is a framework for building data analysis pipelines using a visual point-and-click interface. Funded by Bristol-Myers Squibb, developed by cynkra.

Try it Out
A blockr workflow: Dataset to Filter to Select to Plot
View Documentation

Why blockr

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No Code

Analysts explore data by connecting blocks. Each block is a step - filter, transform, visualize. Real-time previews show results as you build. No R knowledge required.

For Analysts
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R Under the Hood

Built on R with extension packages for dplyr, ggplot2, and more. Export workflows as reproducible R code anytime.

Powered by R
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Infinitely Extensible

Developers create custom blocks for any domain. Connect your data sources, add specialized transformations, build blocks for your industry.

For Developers
From The Blog

Introducing blockr: Data Apps Without Code

In this blog post we celebrate the first stable release of blockr, a tool to build data apps in minutes, using a point and click user interface. See what is included in this first release and learn how to get started.

Read more

About the author

Mike Page

Mike Page

Mike Page is a data scientist with more than five years of experience working with R in the third sector. Here, his focus has been on developing open-source Shiny apps and tools such as the humaniverse collection of R packages. Mike holds a Masters by Research degree in psychoendocrinology and is interested in R package design, Shiny, and data visualisation. He joined cynkra in October 2023.

Featured Projects

blockr No-Code Data Analysis Framework

blockr is a framework for data analysis using a web-based point and click user interface. It enables visual programming in R, allowing users to create powerful data workflows through an intuitive interface.

Key Features

  • User-Friendly Interface for building data pipelines
  • Flexible block-based workflow system
  • Extensible with custom blocks (dplyr, AI, IO, SDTM)
  • Reproducible and shareable pipelines
  • Real-time interactive feedback
globe github
open source project

blockr.core Core Infrastructure

The foundation of the blockr ecosystem. Provides the core infrastructure for building block-based data workflows, including the block registry, DAG execution engine, and Shiny integration.

Key Features

  • Block registry and management
  • DAG-based workflow execution
  • Shiny server integration
  • Extensible plugin system
globe github
open source project

blockr.dplyr Data Transformation Blocks

Data transformation blocks powered by dplyr. Filter rows, select columns, mutate, summarize, arrange, and join tables - all through a visual interface.

Key Features

  • Filter, select, mutate operations
  • Group by and summarize
  • Join and merge tables
  • Arrange and sort data
globe github
open source project

blockr.ggplot Visualization Blocks

Create beautiful visualizations with ggplot2-powered blocks. Scatter plots, bar charts, line graphs, histograms and more - with full theming support.

Key Features

  • Scatter, bar, line, histogram plots
  • Aesthetic mappings via UI
  • Faceting and themes
  • Interactive plot configuration
globe github
open source project

blockr.io Data Import/Export Blocks

Import and export data from multiple sources. Support for CSV, Excel, Parquet, and database connections - making data accessible to your workflows.

Key Features

  • CSV, Excel, Parquet support
  • Database connections
  • URL and API data sources
  • Export to multiple formats
globe github
open source project

blockr.ai AI-Powered Analysis Blocks

blockr.ai extends our blockr framework with AI capabilities for natural language-driven data analysis.

Key Features

  • AI-powered plot creation through natural language
  • Intelligent data transformations
  • Integration with leading AI models
  • Composable blocks for flexible workflows
  • Seamless integration with the blockr ecosystem
open source project
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