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 1.4.1 (14 October 2016)


  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

A Mirador for the data forest: From exploration to predictive modeling—News and Analysis article published on the Data Driven Journalism site—June 7th, 2016

Transforming Clinical Data into Actionable Prognosis Models—Paper published on the PLoS Neglected Tropical Diseases journal showing an application of Mirador to derive predictive models from clinical data of Ebola patients—March 18th, 2016

Metric spaces and information distance—Defining and visualizing a distance function to measure similarity between variables—November 10th, 2015

Search processes in correlation space—Visualization of the use of Mirador during the Data Competition—October 27th, 2015

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