VTK

The Visualization Toolkit (VTK) is an open-source, freely available software system for 3D computer graphics, image processing and visualization. VTK consists of a C++ class library and several interpreted interface layers including Tcl/Tk, Java, and Python. Kitware, whose team created and continues to extend the toolkit, offers professional support and consulting services for VTK. VTK supports a wide variety of visualization algorithms including: scalar, vector, tensor, texture, and volumetric methods; and advanced modeling techniques such as: implicit modeling, polygon reduction, mesh smoothing, cutting, contouring, and Delaunay triangulation. VTK has an extensive information visualization framework, has a suite of 3D interaction widgets, supports parallel processing, and integrates with various databases on GUI toolkits such as Qt and Tk. VTK is cross-platform and runs on Linux, Windows, Mac and Unix platforms.


References in zbMATH (referenced in 85 articles )

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  1. C. Bane Sullivan; Alexander A. Kaszynski: PyVista: 3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK) (2019) not zbMATH
  2. Cimrman, Robert; Lukeš, Vladimír; Rohan, Eduard: Multiscale finite element calculations in python using sfepy (2019)
  3. Henrik A. Kjeldsberg; Aslak W. Bergersen; KristianValen-Sendstad: morphMan: Automated manipulation of vasculargeometries (2019) not zbMATH
  4. Matthieu Ancellin; Frédéric Dias: Capytaine: a Python-based linear potential flow solver (2019) not zbMATH
  5. Adrian R.G. Harwood, Joseph O’Connor, Jonathan Sanchez Muñoz, Marta Camps Santasmasas, Alistair J. Revell: LUMA: A many-core, Fluid–Structure Interaction solver based on the Lattice-Boltzmann Method (2018) not zbMATH
  6. Badia, Santiago; Martín, Alberto F.; Principe, Javier: \textttFEMPAR: an object-oriented parallel finite element framework (2018)
  7. Christoforou, Emmanouil; Mantzaflaris, Angelos; Mourrain, Bernard; Wintz, Julien: Axl, a geometric modeler for semi-algebraic shapes (2018)
  8. Minjie Zhu, Frank McKenna, Michael H. Scott: OpenSeesPy: Python library for the OpenSees finite element framework (2018) not zbMATH
  9. Timofey Mukha: Turbulucid: A Python Package for Post-Processing of Fluid Flow Simulations (2018) arXiv
  10. Borutzky, Wolfgang (ed.): Bond graphs for modelling, control and fault diagnosis of engineering systems (2017)
  11. Pozo, Jose M.; Geers, Arjan J.; Villa-Uriol, Maria-Cruz; Frangi, Alejandro F.: Flow complexity in open systems: interlacing complexity index based on mutual information (2017)
  12. Shivashankar, Nithin; Natarajan, Vijay: Efficient software for programmable visual analysis using Morse-Smale complexes (2017)
  13. Abdelsamie, Abouelmagd; Fru, Gordon; Oster, Timo; Dietzsch, Felix; Janiga, Gábor; Thévenin, Dominique: Towards direct numerical simulations of low-Mach number turbulent reacting and two-phase flows using immersed boundaries (2016)
  14. Ahmad Hosney Awad Eid: Optimized Automatic Code Generation for Geometric Algebra Based Algorithms with Ray Tracing Application (2016) arXiv
  15. Ancel, Alexandre; Fortin, Alexandre; Garnotel, Simon; Miraucourt, Olivia; Tarabay, Ranine: PHANTOM project: development and validation of the pipeline from MRA acquisition to MRA simulations (2016)
  16. Augustin, Christoph M.; Neic, Aurel; Liebmann, Manfred; Prassl, Anton J.; Niederer, Steven A.; Haase, Gundolf; Plank, Gernot: Anatomically accurate high resolution modeling of human whole heart electromechanics: A strongly scalable algebraic multigrid solver method for nonlinear deformation (2016)
  17. Daniel Furse, Stefan Groh, Nikolaus Trost, Martin Babutzka, John P. Barrett, Jan Behrens, Nicholas Buzinksy, Thomas Corona, Sanshiro Enomoto, Moritz Erhard, Joseph A. Formaggio, Ferenc Glück, Fabian Harms, Florian Heizmann, Daniel Hilk, Wolfgang Käfer, Marco Kleesiek, Benjamin Leiber, Susanne Mertens, Noah S. Oblath, Pascal Renschler, Johannes Schwarz, Penny L. Slocum, Nancy Wandkowsky, Kevin Wierman, Michael Zacher: Kassiopeia: A Modern, Extensible C++ Particle Tracking Package (2016) arXiv
  18. Ibanez, Daniel A.; Seol, E. Seegyoung; Smith, Cameron W.; Shephard, Mark S.: PUMI: parallel unstructured mesh infrastructure (2016)
  19. Linsen, Lars (ed.); Hamann, Bernd (ed.); Hege, Hans-Christian (ed.): Visualization in medicine and life sciences III. Towards making an impact. Selected papers based on the presentations at the third international workshop, VMLS, Leipzig, Germany, June 16--18, 2013 (2016)
  20. Mittal, Rajat; Seo, Jung Hee; Vedula, Vijay; Choi, Young J.; Liu, Hang; Huang, H. Howie; Jain, Saurabh; Younes, Laurent; Abraham, Theodore; George, Richard T.: Computational modeling of cardiac hemodynamics: current status and future outlook (2016)

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