cynkra

Versicherungen

Open-Source-Tools für Pricing und Underwriting, gebaut in R. Modular, transparent, kein Vendor-Lock-in.

Was wir liefern

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Sachversicherung

Pricing-Engines, aktuarielle Workbenches und Vergleich verschiedener Pricing-Läufe. Mathematik vom Interface getrennt, nachvollziehbar und einfach anzupassen. Gebaut auf R, dplyr und DuckDB.

Pricing
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Lebensversicherung

Underwriting-Workbenches, die Mitarbeiterdaten, Schadenhistorie und aktuarielle Tabellen zusammenführen. Gebaut mit dm, dplyr, dbplyr und Shiny.

Underwriting
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Krankenversicherung

Shiny-Dashboards in R für Schweizer Krankenversicherer. Installationen von Posit Workbench, Connect und Package Manager. Schulungen und Code-Reviews.

Dashboards & Infrastruktur

Wie wir sie bauen

Gebaut auf R und auf Paketen, die wir mitentwickeln und pflegen: dplyr, tibble, duckdb, duckplyr.

Engine, keine App

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Headless Engines

Pricing-Logik lebt in einem eigenständigen R-Paket. Dieselbe Engine läuft als Microservice-REST-API, Kommandozeilen-Tool oder in einer interaktiven R-Session. Die UI ist nur eine Schnittstelle unter vielen.

Lesbar, testbar

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Tidy und modular

Tidy Data Frames zwischen jedem Schritt. Kleine, benannte Module. Unabhängig testbar, spartenübergreifend wiederverwendbar. Lesbarer Code, lesbare Mathematik.

Azure-ready, selbst gehostet

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Cloud-native

Läuft als Azure Container Apps hinter API Management, auf Posit Connect oder auf hauseigenem Kubernetes. CI/CD via Azure DevOps. Deployment hinter der Firewall.

Fokus-Projekt

DBI R Database Interface

Provides a unifying interface to relational databases in R, with backend packages like RSQLite, RMariaDB and RPostgres for specific databases.

Key Features

  • Unified interface for all database operations.
  • Supports multiple DB backends like MySQL, SQLite, PostgreSQL, and more.
  • Easy data fetching and manipulation within R.
  • Comprehensive error handling.
globe bookmark
open source project

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

dm Relational Data Models

dm provides a framework for defining and managing relational data models in R. It allows users to work with related tables, ensuring data integrity and facilitating complex data operations.

Key Features

  • Define and manage relational data models.
  • Ensure data integrity across related tables.
  • Facilitate complex data operations.
  • Integrate seamlessly with dplyr for data manipulation.
  • Export data models to SQL or use in Shiny applications.
globe github
open source project

duckdb DuckDB for R

R bindings for DuckDB, an in-process analytical database. DuckDB provides fast columnar storage and efficient query execution without requiring a separate server process.

Key Features

  • In-process database, no server required
  • Fast columnar storage and analytics
  • Direct query on Parquet, CSV, JSON
  • Seamless integration with R data frames
globe bookmark
open source project

duckplyr Enhanced dplyr with DuckDB Backend

duckplyr enhances dplyr by allowing seamless integration with DuckDB for faster data operations. It provides a performance boost for data manipulations while maintaining dplyr's intuitive syntax.

Key Features

  • Drop-in replacement for dplyr
  • Automatic translation to SQL
  • Significantly improved performance
  • Compatible with dplyr syntax
globe bookmark
open source project

Was Kundinnen und Kunden sagen:

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Neuste Blogbeiträge

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David Granjon /

blockr.dag update: copy and paste.

Shiny/R

blockr.dag is a blockr extension that enables interactive data workflow building within a blockr application. In this blog post, we introduce the new copy, cut, and paste feature, which lets you duplicate blocks, stacks, and their connections within workflows.

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David Granjon /

g6R update: collapsible nodes and combos.

Shiny/R

g6R is an R interface to G6, a graph visualization library. In this blog post, we introduce an improved collapsible nodes and combos feature, which lets you collapse and expand parts of your graph to manage complexity.

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David Granjon /

blockr.dag update: ports.

Shiny/R

blockr.dag is a blockr extension that enables interactive data workflow building within a blockr application. In this blog post, we introduce the new ports feature, which enhances node connectivity and organization in complex data flows.

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David Granjon /

g6R: 0.5.0 CRAN update.

Shiny/R

g6R is an htmlwidget built on top of 'G6' graph visualisation engine 'JavaScript' library . It brings 20 layouts, 15 customisable behaviors like interactive edge creation and 17 plugins to improve the user experience such as toolbars. This blog post covers updates shipped with version 0.5.0.

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Mike Page /

Introducing blockr: Data Apps Without Code

Shiny/R

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.

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David Schoch, Maëlle Salmon, Kirill Müller /

Performance improvements and more: igraph 2.2.1!

R/igraph

The igraph 2.2.1 release for R is now available on CRAN, delivering significant improvements to performance, stability, and API consistency. This update enhances integration with the C core, refines graph manipulation tools, and improves error handling, making it easier for users to build and analyze complex network models at scale.

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