cynkra

Pharma und Gesundheit

Wir entwickeln Open-Source-Software für die Pharmaindustrie, um Reproduzierbarkeit, Transparenz und Zusammenarbeit zu fördern.

Reproduzierbarkeit erleichtern

Wir entwickeln Open-Source-Software, die die Reproduzierbarkeit in der pharmazeutischen Forschung erleichtert.

No-Code-Datenanalyse mit blockr

blockr ist eine No-Code-Lösung, die pharmazeutische Daten-Workflows in R optimiert. Das Tool ermöglicht technischen wie nicht-technischen Teammitgliedern, Datenpipelines über eine intuitive visuelle Oberfläche zu erstellen und zu validieren – besonders wertvoll für klinische Forschungsteams.

Beratung und Schulung

Wir beraten Unternehmen bei der Auswahl passender Tools und Methoden und bieten Schulungen sowie Code-Reviews an – mit Fokus auf effiziente Datennutzung und aussagekräftige Kommunikation.

Enterprise Data Science Umgebung

Als Posit Professional Services Partner richten wir sichere und konforme Enterprise-Data-Science-Umgebungen für Pharmaunternehmen ein. Unsere Managed-Lösungen umfassen Posit Workbench, Connect und Package Manager. So erhalten Ihre Teams eine robuste Infrastruktur für kollaborative R- und Python-Entwicklung, die GxP-Anforderungen erfüllt.

Mehr erfahren
dekorativer Hintergrund

Fokus-Projekt

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

Was Kundinnen und Kunden sagen:

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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Neuste Blogbeiträge

David Schoch, Maëlle Salmon, Kirill Müller /

Bridging Worlds: Enhancing R igraph with C Core Innovations

R/igraph

The R package igraph has kept us busy for a while now, and we are happy that this will stay like that for a while. After successfully finishing the project "Setting up igraph for success in the next decade", we are now starting a new project funded by the R Consortium's ISC: "Bridging Worlds: Enhancing R igraph with C Core Innovations". In this post, we will give you a short overview of the project, what we hope to achieve and what you can expect in the next months.

David Granjon, David Schoch /

Introducing g6R 0.1.0: a network widget for R.

Shiny/R

Create stunning network experiences powered by the 'G6' graph visualisation engine 'JavaScript' library . g6R brings 20 layouts, 15 customisable behaviors like interaxtive edge creation and 17 plugins to improve the user experience such as toolbars. In 'shiny' mode, modify your graph directly from the server function to dynamically interact with the individual components.

Olajoke Oladipo /

Introducing cheetahR: A Lightning-Fast HTML Table widget for R

R/Tables/htmlWidgets

Say hello to cheetahR — the fastest way to explore massive datasets in R. Now available on CRAN, cheetahR is a high-performance table widget and a modern alternative to {reactable} and {DT}. Built for speed, it lets you interactively explore large datasets with smooth rendering and fully customizable layouts. Plus, it integrates seamlessly with Shiny, making it perfect for powerful, data-heavy dashboards.

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.

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