cynkra

Pharma and Health

Building open source software for pharma to facilitate reproducibility, transparency, and collaboration.

Facilitate Reproducibility

We develop open-source software that facilitates reproducibilty in pharmaceutical research.

No-Code Data Analysis with blockr

blockr is a no-code solution that streamlines pharmaceutical data workflows in R. This innovative tool enables both technical and non-technical team members to create and validate data pipelines through an intuitive visual interface, making it particularly valuable for clinical research teams.

Consulting and Training

We offer consulting services to help companies choose the right tools and methodologies. We provide training and code reviews, focusing on efficient data use and insightful communication.

Enterprise Data Science Environment

As a Posit Professional Services Partner, we specialize in setting up secure and compliant Enterprise Data Science Environments for pharmaceutical companies. Our managed solutions include Posit Workbench, Connect, and Package Manager, ensuring your teams have a robust infrastructure for collaborative R and Python development that meets GxP requirements.

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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

dockViewR Layout Manager for Shiny

dockViewR provides a powerful layout manager for Shiny apps and interactive R documents, building on top of the dockview JavaScript library. It enables flexible and dynamic panel arrangements in Shiny applications.

Key Features

  • Flexible panel-based layouts
  • Dynamic panel positioning and resizing
  • Multiple themes and customization options
  • Interactive panel management
  • Seamless integration with Shiny
globe github
open source project

shinyMobile Cutting edge templates for Shiny

Develop outstanding Shiny apps for iOS, Android, desktop as well as beautiful Shiny gadgets. shinyMobile is built on top of the latest Framework7 template.

Key Features

  • Powerful input widgets such as autocomplete, smartselect, ...
  • Dark/light mode
  • 2 skins: Material and iOS.
  • 3 layouts: simple, tabs and sidebar.
globe
open source project

shinyNextUI React template for Shiny

shinyNextUI exposes a set of beautiful UI components to create amazing Shiny apps with the power of React JS and tailwindcss.

Key Features

  • More than 30 UI widgets and container such as cards, dropdown, typeahead input
  • Dark/light mode support.
  • Customisation with tailwindcss.
github
open source project

What Our Clients Say:

cynkra has been consulting for DuckDB Labs on R-related projects for over two years now. We are very impressed by the depth of their technical knowledge on the language, their deep integration into the package ecosystem and envelope-pushing regarding automation.

Hannes MĂĽhleisen

DuckDB Labs

I am a Senior Computational Biologist who has been coding in R for over 20 years. Since 5 years I have been hiring Kirill MĂĽller to work with me on select projects. Our interactions are fun and highly productive and he continues to teach me to become a much better programmer.

Joseph Thorley

Poisson Consulting

cynkra has collaborated with our research group in 2022 in the realization of an R-package integrating external libraries. They delivered a robust and reliable solution within the agreed time frame. What I appreciated most was their availability to answer questions and provide feedback even after the conclusion of the project.

Luca Carraro

Eawag

Energie360° has been expertly supported by cynkra since 2018 and we couldn't be happier. Their quick response time, friendly can-do attitude and lightning speed at work makes their app development service absolutely recommendable.

PĂ©ter Jeszenszky

Energie360°

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Latest From the Blog

David Granjon, Nelson Stevens, Nicolas Bennett /

Introducing dockViewR 0.1.0: a layout manager for R and Shiny.

Shiny/R

Create fully customizable grid layouts (docks) in seconds to include in interactive R reports with R Markdown or 'Quarto' or in 'shiny' apps . In 'shiny' mode, modify docks by dynamically adding, removing or moving panels or groups of panels from the server function. Choose among 8 stunning themes (dark and light), serialise the state of a dock to restore it later..

Mike Page /

Introducing shinydraw: a no-code tool for shiny wireframing

Shiny/R

Streamline your Shiny app design: Introducing shinydraw for effortless wireframing

David Schoch, Christoph Sax /

R with RAGS: An Introduction to rchroma and ChromaDB

LLM/RAG/R

Large language models (LLMs) are developing rapidly, but they often lack real-time, specific information. Retrieval-augmented generation (RAG) addresses this by letting LLMs fetch relevant documents during text generation, instead of just using their internal—and potentially outdated— knowledge.

Tamás Tóth, Jonas Goldstein, Christoph Sax /

Website Relaunch

We're thrilled to announce the launch of our completely redesigned website! After months of careful planning and development, we've created a new digital home that embodies our core values: minimalism, functionalism, and clarity.

Maëlle Salmon, David Schoch, Kirill Müller /

Setting up igraph for success in the next decade

igraph/R

One year ago, a small group of us at cynkra submitted a project proposal to the R Consortium's ISC, which got approved. We are very grateful for this support. In this post we shall explain what the motivation for our project was, what we accomplished... and what we hope to work on next!

David Schoch /

Organizing tests in R packages

Testing/R

A small team at cynkra is working on the R package igraph, a popular package for simple graphs and network analysis. A big part of this work involves refactoring legacy code and enhancing the maintainability of the package for the future.

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