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  • VisTrails was featured at Supercomputing 2009
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VisTrails Overview

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VisTrails is an open-source scientific workflow and provenance management system developed at the University of Utah that provides support for data exploration and visualization. Whereas workflows have been traditionally used to automate repetitive tasks, for applications that are exploratory in nature, such as simulations, data analysis and visualization, very little is repeated---change is the norm. As an engineer or scientist generates and evaluates hypotheses about data under study, a series of different, albeit related, workflows are created while a workflow is adjusted in an interactive process. VisTrails was designed to manage these rapidly-evolving workflows.

A key distinguishing feature of VisTrails is a comprehensive provenance infrastructure that maintains detailed history information about the steps followed and data derived in the course of an exploratory task: VisTrails maintains provenance of data products, of the workflows that derive these products and their executions. This information is persisted as XML files or in a relational database, and it allows users to navigate workflow versions in an intuitive way, to undo changes but not lose any results, to visually compare different workflows and their results, and to examine the actions that led to a result. It also enables a series operations and user interfaces that simplify workflow design and use, including the ability to create and refine workflows by analogy and to query workflows by example.

VisTrails supports the creation and execution of workflows. It allows the combination of loosely-coupled resources, specialized libraries, grid and Web services. The released version comes with support for several packages including, VTK, Image Magick, Web Services, and pylab. You can also download packages contributed by our users, as well as create your own packages/modules. Workflows can be run interactively, through the VisTrails GUI, or in batch using a VisTrails server.

VisTrails 1.0 was released in October 2007. Since then, the system has been downloaded thousands of times. VisTrails is written in Python and it uses the multi-platform Qt library for its user interface. It runs on Mac, Linux and Windows. You can download VisTrails from http://www.vistrails.org/index.php/Downloads

Building Workflows with VisTrails

VisTrails supports workflows expressed as dataflows. It can also support functional loops and conditional statements (new in VisTrails 1.3!). In addition, VisTrails is easily extensible; users can quickly create new modules or wrap existing code or libraries for use as modules in VisTrails. Also, the PythonSource module can be used to write one-time translations or test code in a workflow. See the Users' Guide for more details on all of these features.

Combining VisTrails Provenance with other Tools

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The VisTrails provenance infrastructure can also be combined with interactive tools. We are developing a series of provenance plugins for different tools, including VisIt and ParaView. The open-source ParaView plugin has been released.

Visualizing and Comparing Workflow Results

VisTrails provides a spreadsheet where users can compare the results of multiple workflows, or multiple workflow runs. Besides using a desktop, you can display the results of VisTrails workflows on a display wall or on an iPod. Users can also compare different workflows using the visual difference interface.

Querying and Refining Workflows by Example

Users can quickly construct expressive queries over a collection of workflows by example, using the same familiar interface they use to build workflows. VisTrails also provides an analogy mechanism whereby users can perform complex modifications to workflows by analogy, without having to directly modify the workflow specifications.

Download

System Documentation

Screen Shots

User's Guide

FAQ

Mailing Lists

Publications, Tutorials and Presentations

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Some Projects using VisTrails

NSF STC CMOP NSF CDI Wildfire NSF DataONE-EVA DOE CDAT
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See other projects

Vistrails and Teaching

Sponsors

This work has been partially supported by the National Science Foundation under grants IIS-0905385, IIS-0844572, IIS CAREER-0746500, CNS-0751152, IIS-0513692, CCF-0401498, CNS-0541560, OISE-0405402, OCE-0424602, CNS-0524096, IIS-0534628, the Department of Energy under the SciDAC program (SDM and VACET), IBM Faculty Awards (2005, 2006, 2007, and 2008) and a University of Utah Seed Grant.

Related Sites

CrowdLabs

RepeatabilityCentral

ProvenanceAnalytics