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

Download 1.3 (8 December 2014)


  1. Download the file appropriate for your operating system.
  2. Once downloaded, unzip the file.
  3. Open the app and select a dataset in a supported format.
  4. Check out the video tutorials to get started.
  5. Read the user manual for more details.


Mirador is an open source project released under the GNU Public License v2. It is the result of a collaboration between the Sabeti Lab at Harvard University, the Broad Institute of MIT and Harvard, and Fathom Information Design. Initial support was provided by the Center of Communicable Disease Dynamics and the MIDAS network funded by the National Institutes of Health.

Further reading

Ebola prognosis prediction—Computational methods for patient prognosis based on available clinical data—June 9th, 2015

Ebola data release—De-identified clinical data from Ebola patients treated at the Kenema Government Hospital in Sierra Leone between May and June of 2014—February 26th, 2015

Awards from the Department of Health and Human Services—Mirador received the third place, innovation and scientific excellence awards in the HHS VizRisk challenge—January 5th, 2015

Winning entries in the Mirador Data Competition—Read about the winning correlations submitted by Mirador users—December 1st, 2014

Marriage, Health, and Jobs—Finding associations in the BRFSS dataset—October 27th 2014

Finding and ranking correlations—Video tutorial—October 21st 2014

Loading and viewing data—Video tutorial—October 21st 2014

Mirador Data Competition—Explore public data and win some prizes for your discoveries—Completed: September 28th and November 4th, 2014

Network representation of correlation data—tutorial showing how to combine Mirador's output with Python scripts and other visualization tools to generate network representations of correlation matrices—September 30th 2014

Statistical modeling with Mirador—tutorial on how to use Mirador in Machine Learning—September 27th 2014

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


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