Open Source Web Applications

These web applications are hosted and managed by the staff in Teaching & Learning with Technology to support courses and instruction.

Access

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. These applications are freely available for all members of the university. No registration is required.

Off-Campus – 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.

Storage – 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. Note – Jupyter and RStudio rely on the PASS storage space, if there is a PASS outage you may not be able to login to the applications. (See PASS alerts.)

 

Software

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 a variety of powerful coding and debugging tools as well as rich data visualization and publishing tools. Multiple versions of R are available as well as a number of popular packages and supporting libraries. Please use the support request below to request R packages.

Login to RStudio

 

RStudio Connect icon RStudio Connect is a publishing platform for R. It allows for easy push-button publishing of R Markdown documents, Shiny applications, and static plots and graphs. Self-manage your published content by adding project collaborators and control access to who can view it. Advanced features include 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

Support

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

Feedback

We welcome any feedback and opportunities to discuss collaborations for teaching or other academic projects – please email us at tlt-lai@psu.edu.