Linked Visualizations

With Glue, users can create scatter plots, histograms and images (2D and 3D) of their data. Glue is focused on the brushing and linking paradigm, where selections in any graph propagate to all others.

Flexible linking across data

Glue uses the logical links that exist between different data sets to overlay visualizations of different data, and to propagate selections across data sets. These links are specified by the user, and are arbitrarily flexible

Full scripting capability

Glue is written in Python, and built on top of its standard scientific libraries (i.e., Numpy, Matplotlib, Scipy). Users can easily integrate their own python code for data input, cleaning, and analysis.

Glue is a multi-disciplinary tool

Designed from the ground up to be applicable to a wide variety of data, Glue is being used on astronomy data of star forming-clouds, medical data including brain scans, and many other kinds of data.

Video: What is Glue?

A 2-minute introduction to Glue, demonstrating the concepts of linking and brushing.

Video: Talk at SciPy 2013

An overview talk of glue by Chris Beaumont at the SciPy 2013 meeting.

Poster: 2018 NSF SI2 PI Meeting

Glue: Linked-View Exploratory Visualization of High-Dimensional Data, for Everyone

Video: Greece 2018

Glueing the Universe by Alyssa Goodman at the Olympian Symposium 2018: Gas and stars from milli- to mega- parsecs meeting.

Video: Talk at CfA 2016

An overview talk of glue by Thomas Robitaille at the Harvard-Smithsonian Center for Astrophysics.

Video: Exporting to Plotly

Demonstration of exporting plots to Plotly from inside glue.