Mirador is a tool for visual exploration of complex datasets which enables users to infer new hypotheses from the data and discover correlation patterns.

Download 1.1 (15 August 2014)


  1. Download the file appropriate for your operating system.
  2. Once downloaded, unzip the file.
  3. Open the app and select an example. A .mira file is best, but you can also open .tsv or .csv files.
  4. Read the user manual for more details.


Mirador is in its first phase of development, and its source code is available under the GNU Public License v2. If you’d like to report a bug or share feedback, we'd look forward to hearing from you so that we can continue improving the app.

Mirador's concept and development has been lead by Andrés Colubri, with interface and web design by Terrence Fradet. This project is the result of a collaboration between the Sabeti Lab at Harvard University, the Broad Institute, and Fathom Information Design, with support from the Center of Communicable Disease Dynamics and the MIDAS network funded by the National Institutes of Health.


Mirador: a new software tool for interactive visualization of statistical associations in health data. Andres Colubri, Terrence Fradet, Sara Asad, Tom Silver, Yonatan Grad, David Reshef, Pardis Sabeti, Ben Fry. In Preparation

Further reading

Finding correlations in complex datasets—process post about design and development of Mirador—June 18th 2014

Quantitatively measuring correlations—post describing measures of correlation based on Mutual Information—March 25th 2014

Visually representing correlations—post discussing the use of eikosogram plots to represent conditional dependency—January 15th 2014