Open Source Web Applications

The learning applications team, within Penn State Teaching and Learning with Technology (TLT), has new Linux web applications available for Penn State students and faculty.


Penn State students, faculty, and staff can access these web applications from any modern web browser by using a Penn State Access Account username and password. A VPN connection is required when connecting from a non-university (off-campus) network. For more information on using the Penn State VPN service (ISPtoPSU), please visit this knowledgebase article.

Your personal PASS storage space is mounted as the working directory, therefore you can utilize tools like WebFiles or the LAT computer lab systems to transfer data files to PASS and they will be accessible within the web applications.


Jupyter iconJupyter is an interactive coding environment which offers a variety of programming languages, such as Python and R, to perform live data manipulation and analysis, and combines it with rich inline markdown text. Documents created in Jupyter are saved in the Jupyter notebook format, which can be easily shared or exported and published in a variety of formats, such as html, PDF and Microsoft Word.

Login to Jupyter

R iconRStudio Server is a web version of the popular RStudio desktop application, which is an integrated development environment for the open-source R statistical programming language. It provides powerful coding and debugging tools as well as rich data visualization and publishing tools.

Login to RStudio


RStudio Connect icon

RStudio Connect is a publishing platform for R. It allows easy push-button publishing of R documents and Shiny applications. It provides the ability to self-manage your content, or to add project collaborators, and to control access to who can access your published content. Advanced features including scheduled updates, report generation, email updates, REST APIs, and ODBC data connectors. For more information, view the RStudio Connect User Guide.

Login to RStudio Connect


For help, questions, or to request the installation of additional Python modules, Jupyter environments, R versions, or R packages please submit a support request.