Enthought's mission is to significantly improve the way scientific computing is accomplished by providing powerful tools for quantitative data analysis and visualization.

Enthought Scientific Computing Solutions

Scientists first, developers second

Our developers are distinguished by their scientific expertise. We understand the complex analysis and visualization challenges faced by scientists and engineers. Meanwhile, our extensive experience designing sophisticated applications enables us to provide software to ease your work flow, training to empower your team, and custom application solutions to meet the needs of your end users.

Python for power and clarity

By developing with Python, a powerful and concise programming language, we ensure that scientists and engineers are able to fully implement feature-rich applications without sacrificing accessible and meaningful code. We have found that Python's clarity of expression dramatically smoothes the transition between prototype and finished product, thereby facilitating our iterative development process.

A bit of our story

Enthought was founded in 2001 by Travis Vaught and Eric Jones. Now, our team of about 50 works from downtown Austin, TX, or one of our other offices in Cambridge (UK), New York City or Mumbai (India). Many of our staff are active contributors to open source Python projects such as NumPy, SciPy, and the Enthought Tool Suite. Our commitment to these projects is coupled with a strong desire to improve the commercial viability of open source scientific computing solutions. We reconcile these interests by funding open source development through our software, consultation, and training services.

Satisfied customers

Between EPD subscribers, custom training participants, and consulting clients, we've had the pleasure to work with a number of prestigious organizations. Our customers include Airbus, ConocoPhillips, Freescale, GDF-Suez, JPL, Los Alamos National Lab, Northrop Grumman, U.S. Army Research Lab, Oak Ridge National Laboratory, Lockheed Martin, Rackspace, Doosan Babcock, Shell, Merrill Lynch, and Xilinx.