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Mayavi: Making 3D Data Visualization Reusable

Gaël Varoquaux 1, 2 Prabhu Ramachandran 3
1 PARIETAL - Modelling brain structure, function and variability based on high-field MRI data
Inria Saclay - Ile de France, NEUROSPIN - Service NEUROSPIN
2 LNAO - Laboratoire de Neuroimagerie Assistée par Ordinateur
3 Department of Aerospace Engineering [Bombay]
Abstract : Mayavi is a general-purpose 3D scientific visualization package. We believe 3D data visualization is a difficult task and different users can benefit from an easy-to-use tool for this purpose. In this article, we focus on how Mayavi addresses the needs of different users with a common code-base, rather than describing the data visualization functionalities of Mayavi, or the visualization model exposed to the user.
Keywords : Data visualization Python Software engineering
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https://hal.archives-ouvertes.fr/hal-00502548
Contributor : Gaël Varoquaux <>
Submitted on : Thursday, July 15, 2010 - 11:40:04 AM
Last modification on : Monday, February 10, 2020 - 6:13:43 PM
Document(s) archivé(s) le : Tuesday, October 23, 2012 - 10:21:18 AM

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Gaël Varoquaux, Prabhu Ramachandran. Mayavi: Making 3D Data Visualization Reusable. SciPy 2008: 7th Python in Science Conference, Aug 2008, Pasadena, United States. pp.51. ⟨hal-00502548⟩

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