Appsilon's Guide to Working With Open Source Shiny

There is no need to praise Shiny for its influence on interactive data visualisation. As with many other technology stacks, Shiny could benefit from community contributions for the further development of the package itself and the growth of independent packages that add new features.

Appsilon's Guide to Working With Open Source Shiny

January 21, 2021

There is no need to praise Shiny for its influence on interactive data visualisation. As with many other technology stacks, Shiny could benefit from community contributions for the further development of the package itself and the growth of independent packages that add new features. In this talk, I present some of the most popular Shiny extensions and explain what are the ways to help with developing Shiny-related tools.

Learn more about rstudio::global(2021) X-Sessions.

Thank you to Appsilon for sponsoring the Mastering Shiny: from Development to Deployment X-Session.


About the speaker

Dominik Krzemiński
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Dominik is the Open Source Tech Lead at Appsilon where he enjoys contributing to open source tools, mainly in R and Python. He created shiny.i18n, shiny.semantic and theTODOr package for R. He also participated in the Google Summer of Code, where he developed tools supporting neuroscience analyses. He’s also a fan of all kinds of board sports and capoeira.