We are strong supporters of the open source community and engage ourselves as R benefactors
, sponsors and contributors of conferences,
such as the Insurance Data Science series.
We also support the Zurich R user meetup and have our own
meetup group for data science workshops.
Mirai has a lot of experience in designing Shiny web apps, dealing with important aspects and trade-offs around modularization, customization, flexibility, transparency, testability, maintainability etc. We have also successfully incorporated various strategies regarding development, (continuous) integration and deployment.
We host a small gallery here on our website, where we are happy to share some live examples. Some of our open source Shiny applications address general concerns like the Covid-19 spread or saving for retirement (SmaRP) in Switzerland.
Covid19 is an open source R Shiny web app to analyze and visualize COVID-19 data by countries. The user can visualize trends, compare situations in different countries and get a global overview of the virus distribution. Find all the details about it on our GitHub repository.
An open-source R Shiny / Quarto interactive document, analyzing and visualizing latest Swiss COVID-19 vaccination breakthroughs published by the Federal Office of Public Health. Vaccinated and unvaccinated populations are compared to evaluate the higher risk of hospitalization and death among the unvaccinated.
MiRiM is a Shiny application that reproduces the basic functionality of the Risk Metrics software for the Risk Measures calculation. It aims to be a Proof of Concept for companies trading in commodities.
SmaRP is an open source R Shiny web app designed to guide people working in Switzerland towards their retirement. In the GitHub repository you can find the app source code as well as resources for its integration and deployment.
Mirai is proud to partner with Oasis LMF in the development of the Shiny UI for the Oasis Platform, a rich front-end to Oasis’ open source Catastrophe Modeling platform.
Shiny has become overwhelmingly popular and widespread in the R and more recently Python communities. Shiny web applications provide companies and individuals with an excellent way of demoing and showcasing data analytics and visualizations. They are unrivaled for interactive R-based projects in general, and highly competitive for Python-based projects as well, and have thus found their way into production environments of many large corporates.
We are also the developers of several open-source packages, including the following:
XLConnect is one of the most widely used open source R packages for manipulating Excel files. XLConnect differs from other related R packages in that it is completely cross-platform and as such runs under Windows, Unix/Linux and Mac (32- and 64-bit).
rTRNG provides efficient, parallel, reproducible, and fair pseudo-random number generation for large-scale Monte Carlo simulations. The rTRNG package is based on the TRNG C++ library and provides a user-friendly R interface to it via Rcpp and RcppParallel packages.
sparkbq is a sparklyr extension package providing an integration with Google BigQuery. It builds on top of spark-bigquery, which provides a Google BigQuery data source to Apache Spark.
compareWith is an R package providing user-friendly RStudio addins that make it easier to perform diff and merge tasks, especially with projects under version control. The package relies on Meld, a common visual diff and merge tool.