Linked Statistical Graphics. 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.