VisTrails: an open-source scientific workflow and provenance management system that supports data exploration and visualization. VisTrails provides a general infrastructure that can be combined with existing systems and libraries. Official releases come with several packages, including VTK, matplotlib, and ImageMagick. The system is written in Python/Qt and runs on Mac, Unix and Windows.

References in zbMATH (referenced in 8 articles )

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  1. Becker, Gabriel; Moore, Sara E.; Lawrence, Michael: trackr: a framework for enhancing discoverability and reproducibility of data visualizations and other artifacts in R (2019)
  2. Yao, Weiwei; Chen, Yuansheng: Assessing three fish species ecological status in colorado river, grand canyon based on physical habitat and population models (2018)
  3. Weiß, Andreas; Karastoyanova, Dimka: Enabling coupled multi-scale, multi-field experiments through choreographies of data-driven scientific simulations (2016) ioport
  4. Giovanni Pizzi, Andrea Cepellotti, Riccardo Sabatini, Nicola Marzari, Boris Kozinsky: AiiDA: Automated Interactive Infrastructure and Database for Computational Science (2015) arXiv
  5. Ma, Yinglong; Shi, Moyi; Wei, Jun: Cost and accuracy aware scientific workflow retrieval based on distance measure (2015)
  6. Da Silva, Laryssa Machado; Braga, Regina; Campos, Fernanda: Composer-Science: a semantic service based framework for workflow composition in e-science projects (2012) ioport
  7. Callaghan, Scott; Deelman, Ewa; Gunter, Dan; Juve, Gideon; Maechling, Philip; Brooks, Christopher; Vahi, Karan; Milner, Kevin; Graves, Robert; Field, Edward; Okaya, David; Jordan, Thomas: Scaling up workflow-based applications (2010) ioport
  8. Faniel, Ixchel M.; Jacobsen, Trond E.: Reusing scientific data: how earthquake engineering researchers assess the reusability of colleagues’ data (2010) ioport