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VisTrails is a scientific workflow management system developed at the Scientific Computing and Imaging Institute at the University of Utah that provides support for data exploration and visualization. It is written in Python and employs Qt via PyQt bindings. The system is open source, released under the GPL v2 license. The pre-compiled versions for Windows, Mac OS X, and Linux come with an installer and several packages, including VTK, matplotlib, and ImageMagick. VisTrails also supports user-defined packages. ==Overview== VisTrails is a new system that provides provenance management support for exploratory computational tasks. It combines features of workflow and visualization systems. Similar to workflow systems, it allows the combination of loosely-coupled resources, specialized libraries, and grid and Web services. Similar to some visualization systems, it provides a mechanism for parameter exploration and comparison of different results. But unlike these other systems, VisTrails was designed to manage exploratory processes in which computational tasks evolve over time as a user iteratively formulates and tests hypotheses. A key distinguishing feature of VisTrails is its comprehensive provenance infrastructure that maintains detailed history information about the steps followed in the course of an exploratory task. VisTrails leverages this information to provide novel operations and user interfaces that streamline this process. VisTrails has been developed for exploratory visualization,〔(【引用サイトリンク】title=Provenance for Visualizations: Reproducibility and Beyond. )〕 but the system is general, and provides functionality in the following areas: * Flexible provenance architecture.〔(【引用サイトリンク】title=Provenance for Computational Tasks: A Survey. )〕〔(【引用サイトリンク】title=Tackling the Provenance Challenge one layer at a time. )〕 * Querying and re-using history.〔(【引用サイトリンク】title=Querying and Creating Visualizations by Analogy. )〕 * Support for collaborative exploration.〔(【引用サイトリンク】title=Using Provenance to Support Real-Time Collaborative Design of Workflows. )〕 * Extensibility. * Scalable derivation of data products, parameter exploration, multi-view and comparative visualization.〔(【引用サイトリンク】title=VisTrails: Enabling Interactive Multiple-View Visualizations. )〕 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「VisTrails」の詳細全文を読む スポンサード リンク
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