Glue is a Python library to explore relationships within and among related datasets. Its main features include:
- 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.
For more demos, check out the videos page.
The latest version of glue is v0.5 - see our overview of changes in 0.5.
- Installing Glue
- Getting started
- User Interface Guide
- Python Guide
- Demo Videos
- Frequently Asked Questions
- Why is Glue crashing on startup?
- What data formats does Glue understand?
- How do I overplot catalogs on images in Glue?
- How do I use Glue with the IPython notebook?
- Does Glue Understand CASA Cubes?
- Something is broken, or confusing. What should I do?
- How do I make a scatterplot of columns from two different catalogs?
- I have some other question...?
- Getting Help with Glue