Keshif, a web-based tool that lets you browse and understand datasets easily

Keshif * Keşif (keshif) means discovery and exploration in Turkish.

Data Made Explorable




  • Create summaries of data properties. Keshif will present your data in its effective visual design.
  • Discover relations in your data rapidly. Highlight relations by mouse over. Compare records by locking your selection. Keshif auto-synronizes all selections.
  • Enjoy scalability by design. Keshif avoids visualization techniques that cannot scale. Explore data as long as it can be fully loaded to your web browser.
  • Enjoy consistency. Keshif solves your exploration needs for a wide range of dataset in a single unified visual and interactive design.
  • Focus on your data and your questions. Don’t worry about picking the right visualization and doing the math. Keshif does it for you.
  • See the overview and the most relevant first. After each step, the most relevant results and data properties are shown first.
  • Load your data in a flexible pipeline built for the web. Keshif is ready to load your structured data, whether it be digital collections, books that you have read, contact lists, public data sources, movies, etc. It can automatically import data from Google SpreadSheets and CSV/TEXT files. You can write your own importers in Javascript for JSON, XML, even HTML or BibTeX for publication databases. Check the demo list to find demos using various data resource types.
  • Define your browser using its simple API. The API is based on a single function which takes configuration parameters, such as data source, and the descriptions of your data summaries.


AggreSet: Rich and Scalable Set Exploration using Visualizations of Element Aggregations, M. Adil Yalçın & Niklas Elmqvist & Ben Bederson, INFOVIS 2015

Media Coverage – Interview with Adil Yalcin
, Oct 2015

Transit Data Gets More Intriguing As the Way It’s Presented Improves – Mobility Lab, July 2015

Overview: 328 Analysis and Visualization Tools (and counting) –, Sept. 2015


Safety First: A Story on Restaurant Food Poisonings, Shortlisted, Information is Beautiful Awards, Food Poisoning Challenge, 2015.

Visual and Interactive Data via Keshif, Tools for the Web, June 2015

Designed & Developed By

M. Adil Yalçın, Ph.D. Candidate, Human Computer Interaction Lab, Computer Science, University of Maryland, College Park

Advised By

Niklas Elmqvist,
Associate Professor, iSchool, University of Maryland, College Park

Ben Bederson,
Professor, Computer Science, University of Maryland, College Park


Released under BSD license
2015 University of Maryland


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