Research Computing provides a wide range of software tools, many of which have visualization capabilities. Software tools are available that run locally on users' computers and remotely on Research Computing's systems. Supported Visualization Software Our visualization staff have expertise in and are ready to assist with the following software. For help, reach out to us at [email protected]. Open-Source Software Software Description (Used for…) Installed on Research Computing’s Systems? Datawrapper Building well-designed charts, maps, and tables. User-friendly. - ffmpeg Recording, converting, and streaming audio and video. Yes Flourish Building charts, networks, maps. User-friendly. - imageMagick Editing and manipulating digital images. Yes Gephi Building network graphs. - Graphviz Representing structural information as diagrams and networks. Yes ParaView Visualizing scientific data, often with VTK. Very large data sets can be rendered in parallel. Yes POVRay Creating three-dimensional graphics. - Python Building charts, maps, networks, and more. Common libraries for visualization are matplotlib, seaborn, plotly, etc. Yes R Building charts, maps, networks, and more. Common library for visualization is ggplot2. Yes Tableau Building charts, maps, and networks. User-friendly. - TurboVNC Permitting graphics software to utilize GPU hardware. Yes VisiData Exploring large data sets prior to visualization. - VisIt Visualizing scientific data, often with VTK. Very large data sets can be rendered in parallel. Yes Licensed Software Software Description (Used for…) Installed on Research Computing’s Systems? IDL Data analysis, data visualization, and software application development. Yes Excel Data structuring, analysis, and visualization. - GIS Software Creating and analyzing maps. See our GIS & Geospatial Analysis Software for a specific list of GIS software. - Searching for Additional Available Software When working on Research Computing's systems, to see the full set of available software we recommend logging into the system of interest and using the command: $ module load Learn more about working with pre-installed software (through modules) on our systems in the Software section of our Guide to the Princeton Clusters. Additional software can sometimes be found by reviewing the contents of the /usr/licensed folder on the clusters: $ ls /usr/licensed Note that some licensed programs are available to all users, and some are only available to individuals or groups who've purchased that specific license. If you don't see the visualization software you are looking for, you can install it in your home folder on the system. See the Installing Software Not Available on the Cluster section of our guide for more information.
