SI2-SSE: A Sustainable Future for the Glue Multi-Dimensional Linked Data Visualization Package
posterposted on 04.02.2020 by Alyssa Goodman, Michelle Borkin, Thomas Robitaille, Catherine Zucker
Poster sessions are particularly prominent at academic conferences. Posters are usually one frame of a powerpoint (or similar) presentation and are represented at full resolution to make them zoomable.
glue is an open-source python-based software package that enables scientists to explore relationships within and across related datasets. Without merging any data, glue makes it easy to make multi-dimensional linked visualizations of datasets, select subsets of data interactively or programmatically in 1, 2, or 3 dimensions, and to see those selections propagate live across all open visualizations (e.g., histograms, 2 and 3-d scatter plots, images, 3-d volume renderings, etc.). While originally designed as a desktop application, we have built a new prototype interface for glue in JupyterLab, a browser-based environment that supports multi-panel interactive visualizations alongside narrative text, code, and figures. We demonstrate the functionality of glue in the JupyterLab environment, and show how it can be a powerful multi-disciplinary tool for making discoveries across many scientific disciplines.