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From: Prabhu R. <pr...@ae...> - 2020-08-31 16:26:02
|
<html>
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<meta http-equiv="content-type" content="text/html; charset=UTF-8">
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<tt>Hello,<br>
<br>
We are pleased to announce Mayavi-4.7.2. Mayavi is a general
purpose,<br>
cross-platform Python package for 2-D and 3-D scientific data
visualization.<br>
Mayavi integrates seamlessly with NumPy and provides a convenient
Pythonic<br>
wrapper for VTK (<a class="moz-txt-link-freetext"
href="http://www.vtk.org" moz-do-not-send="true">http://www.vtk.org</a>).
It provides a stand-alone UI to help<br>
visualize your data and works on Jupyter notebooks as well. Mayavi
is easy <br>
to extend and embed in your own dialogs and UIs.<br>
<br>
For more information see here:<br>
<br>
<a class="moz-txt-link-freetext"
href="https://docs.enthought.com/mayavi/mayavi/index.html"
moz-do-not-send="true">https://docs.enthought.com/mayavi/mayavi/index.html</a><br>
<br>
<br>
The significant update for this release is that it is compatible
with the<br>
latest VTK-9.x series and is known to work with VTK 9.0.1 from
PyPI. The<br>
picker UI has changed to no longer pop up a UI window but instead
show the<br>
picked attributes on the render window directly. The original
picker UI is now<br>
available on the scene's UI in a separate "Picker" tab. This is
accessible<br>
from either the pipeline view when one edits the properties of a
scene or<br>
through the "configure scene" gear icon on the scene window
toolbar.<br>
<br>
For more details see <a class="moz-txt-link-freetext"
href="https://docs.enthought.com/mayavi/mayavi/auto/changes.html#mayavi-4-7-2"
moz-do-not-send="true">https://docs.enthought.com/mayavi/mayavi/auto/changes.html#mayavi-4-7-2</a><br>
<br>
36 pull requests were merged.<br>
<br>
Thanks to the following who contributed to this release (in
alphabetical<br>
order): Amal S Sebastian, Eric Larson, Guillaume Favelier, Hans
Moritz<br>
Günther, Magnus Nord, Mark Dickinson, Poruri Sai Rahul, Prabhu
Ramachandran,<br>
Scott Talbert, Tetsuo Koyama.<br>
<br>
cheers,<br>
Mayavi developers<br>
</tt><br>
</body>
</html>
|
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From: Prabhu R. <pr...@ae...> - 2019-07-01 09:56:30
|
Hello, We are pleased to announce Mayavi-4.7.0. Mayavi is a general purpose, cross-platform Python package for 2-D and 3-D scientific data visualization. Mayavi integrates seamlessly with NumPy and provides a convenient Pythonic wrapper for VTK (http://www.vtk.org). It provides a stand-alone UI to help visualize your data. Mayavi is easy to extend and embed in your own dialogs and UIs. For more information see here: http://docs.enthought.com/mayavi/mayavi/index.html The biggest new feature is that we have fully functional jupyter notebook support with a new backend (which is now the default) and is discussed here: http://docs.enthought.com/mayavi/mayavi/tips.html#using-mayavi-in-jupyter-notebooks This does not require WebGL. Changes ------- - New Jupyter notebook 'ipy' backend which is now the default and requires that VTK's offscreen support work correctly. This backend requires ipywidgets and ipyevents. It allows complete interactivity and behaves almost exactly like a normal UI backend but inside a notebook. Note that this will still require an xserver or windowing toolkit unless VTK is compiled to be able to work without those. - Detect the EGL/OSMesa support and use it for offscreen rendering if possible. - Fix several bugs. - Improve testing on travis. For more details see http://docs.enthought.com/mayavi/mayavi/auto/changes.html#mayavi-4-7-0 19 pull requests were merged. Thanks to the following who contributed to this release (in alphabetical order): Eric Larson, Poruri Sai Rahul, Prabhu Ramachandran, Stefan Sandfeld, and Todd. Thanks to Enthought for funding the work that led to the significantly improved Jupyter notebook support. cheers, Mayavi developers |
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From: Prabhu R. <pr...@ae...> - 2018-09-03 02:46:42
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[ANN] Mayavi-4.6.2 release Hello, We are pleased to announce Mayavi-4.6.2. Mayavi is a general purpose, cross-platform Python package for 2-D and 3-D scientific data visualization. Mayavi integrates seamlessly with NumPy and provides a convenient Pythonic wrapper for VTK (http://www.vtk.org). It provides a stand-alone UI to help visualize your data. Mayavi is easy to extend and embed in your own dialogs and UIs. For more information see here: http://docs.enthought.com/mayavi/mayavi/index.html Changes ------- - Fix issue with detection of compiler on Windows and make Mayavi installable on Windows without requiring a compiler. - Fix wrapping the newer VTK Get methods. - Fixed the pipeline browser to work with recent VTK versions. - Allow adding a vtkAlgorithm to the mayavi pipeline. - Use SmartVolumeMapper for the volume module. - Fixed several issues. For more details see http://docs.enthought.com/mayavi/mayavi/auto/changes.html#mayavi-4-6-2 We are thankful to solarjoe, François Boulogne, Prabhu Ramachandran, and Ioannis Tziakos for their contributions. We are grateful to Enthought for their support to which has made this release possible. cheers, Mayavi developers |
|
From: Prabhu R. <pr...@ae...> - 2018-07-06 02:27:49
|
Hello, We are pleased to announce Mayavi-4.6.1. Mayavi is a general purpose, cross-platform Python package for 2-D and 3-D scientific data visualization. Mayavi integrates seamlessly with NumPy and provides a convenient Pythonic wrapper for VTK (http://www.vtk.org). It provides a stand-alone UI to help visualize your data. Mayavi is easy to extend and embed in your own dialogs and UIs. For more information see here: http://docs.enthought.com/mayavi/mayavi/index.html Changes ------- - Make the use of an extension module optional. This allows installation via pip without needing to have a compiler. - Fixed installation with pip when numpy is not installed. - Support for PySide2. - Add methods to make it easy to add attributes to datasets. - Fixed several issues. For more details see http://docs.enthought.com/mayavi/mayavi/auto/changes.html#mayavi-4-6-1 We are thankful to Eric Larson, Hongzhuo Liang, and Prabhu Ramachandran for their contributions. We are grateful to Enthought for their support which has made this release possible. cheers, Mayavi developers |
|
From: Prabhu R. <pr...@ae...> - 2018-05-27 10:27:57
|
Hello, We are pleased to announce Mayavi-4.6.0. Mayavi is a general purpose, cross-platform Python package for 2-D and 3-D scientific data visualization. Mayavi integrates seamlessly with NumPy and provides a convenient Pythonic wrapper for VTK (http://www.vtk.org). It provides a stand-alone UI to help visualize your data. Mayavi is easy to extend and embed in your own dialogs and UIs. For more information see here: http://docs.enthought.com/mayavi/mayavi/index.html New features ------------- - Support for Qt5. This makes Mayavi easy to install on Python 3.x. - Thanks to the new VTK wheels now available on PyPI, this release is the first that makes it easy to install Mayavi with pip. - Many bugs have been fixed. On a 64 bit machine and with Python 3.x one can install Mayavi with the following:: $ pip install numpy mayavi PyQt5 On Windows this will require a suitable compiler to build any extension modules. This release should work with VTK-5.x, VTK-6.x, 7.x and 8.x. For more details on the full set of changes see: http://docs.enthought.com/mayavi/mayavi/auto/changes.html#mayavi-4-6-0 Close to 50 PRs were merged. We are thankful to Bhavesh Thakkar, Christian Brodbeck, David Haberthür, Emmanuelle Gouillart, Eric Larson, Federico Miorelli, James Booth, Krishna Wadhwani, Marijn van Vliet, Min RK, Nelle Varoquaux, Prabhu Ramachandran, Stefano Borini, and solarjoe for their contributions towards this release. cheers, Mayavi Developers |
|
From: Prabhu R. <pr...@ae...> - 2008-05-23 05:34:29
|
Hi, This is to announce a Mayavi sprint between 2nd July to 9th July, 2008. The sprint will be held at the Enthought Office, Austin Texas. Here are the details: Dates: 2nd July 2008 to 9th July 2008 Location: Enthought Office at Austin, TX Please do join us -- even if it is only for a few days. Both Gaël Varoquaux and myself will be at the sprint on all days and there will be developers from Enthought joining us as well. Enthought is graciously hosting the sprint at their office. The agenda for the sprint is yet to be decided. Please contact me off-list if you plan on attending. Thanks! About Mayavi ------------ Mayavi seeks to provide easy and interactive visualization of 3D data. It is distributed under the terms of the new BSD license. It is built atop the Enthought Tool Suite and VTK. It provides an optional rich UI and a clean Pythonic API with native support for numpy arrays. Mayavi strives to be a reusable tool that can be embedded in your applications in different ways or combined with the envisage application-building framework to assemble domain-specific tools. For more information see here: http://code.enthought.com/projects/mayavi/ cheers, -- Prabhu Ramachandran http://www.aero.iitb.ac.in/~prabhu |
|
From: <pra...@us...> - 2005-09-13 08:19:37
|
Hi, This is to announce the availability of the MayaVi Data Visualizer version 1.5. MayaVi is a free, easy to use, scientific data visualizer. It is written in Python, uses the Visualization Toolkit (VTK) for the graphics and provides a GUI written using Tkinter. MayaVi is distributed under a BSD license. It is also cross platform and should run on any platform where both Python and VTK are available (this includes Linux, Windows and Mac OSX). Also bundled with MayaVi is a VTK pipeline browser written in Python and a utility module that makes using VTK easier from the Python interpreter. For more information, sources, binaries, screenshots, installation instructions, documentation etc. visit the MayaVi home page at: Home page: http://mayavi.sourceforge.net SourceForge: http://sourceforge.net/projects/mayavi Download: http://sourceforge.net/project/showfiles.php?group_id=27020&release_id=356146 New in this release ------------------- * Added new LUT editor contributed by Gerald Knizia and Arnd Baecker. The LUT editor allows one to edit the colors in RGB or HSV mode. The editor can also be used standalone. * Added support to easily add user defined sources (works just like the user defined modules and filters). Contributed by Ross Harder. * Support for VolumeProMapper contributed by Daniel James White and Heikki Uuksulainen. * Added a Vorticity filter (contributed by Gareth Clay) that computes the vorticity of input vector data. * Updated MayaVi and vtkPipeline to work with VTK-CVS and VTK-5.x. Support for VTK versions < 4.0 has been removed. MayaVi and the pipeline browser will continue to work with VTK-4.x. * Added a utility vtk_doc.py script that allows one to search the VTK class docs using a GUI. * Fixed severe bug in opening data files belonging to a time-series under Windows. * Fixed various other bugs (details in full changelog). Acknowledgements ---------------- Many thanks to SourceForge for their continued support in hosting MayaVi. Thanks also to various the users who provided feature improvements, patches, bug reports, support and suggestions. Have fun! prabhu |
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From: Prabhu R. <pra...@us...> - 2005-02-02 19:21:02
|
Hi, This is to announce the availability of the (long overdue) MayaVi Data Visualizer version 1.4. MayaVi is a free, easy to use, scientific data visualizer. It is written in Python, uses the Visualization Toolkit (VTK) for the graphics and provides a GUI written using Tkinter. MayaVi is distributed under a BSD license. It is also cross platform and should run on any platform where both Python and VTK are available. For more information, sources, binaries, screenshots, installation instructions, documentation etc. visit the MayaVi home page at: http://mayavi.sourceforge.net Also bundled with MayaVi is a VTK pipeline browser written in Python and a utility module that makes using VTK easier from the Python interpreter. New in this release: * Support for data files belonging to a time series. It is also possible to sweep through the time series. Thanks to Gerard Gorman for an initial patch! * Support for user defined modules and filters. A search path may be specified in the preferences. User defined modules and filters are searched for in these directories and automatically picked up by MayaVi. Thanks to Fernando Perez for an initial patch! * Fixed critical bugs in the Volume module. Anyone using the Volume module from the 1.3 release should upgrade! * Miscellaneous enhancements: allow the user to disable rendering temporarily, user can specify geometry of the MayaVi window. * Several other bug fixes and minor enhancements. Acknowledgements: Many thanks to SourceForge for their continued support in hosting MayaVi. Thanks also to various users who provided patches, bug reports, support and suggestions. Have fun! prabhu |
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From: Prabhu R. <pr...@ae...> - 2003-11-18 18:59:54
|
Hi, This is to announce the availability of the MayaVi Data Visualizer version 1.3. MayaVi is a free, easy to use, scientific data visualizer. It is written in Python and uses the Visualization Toolkit (VTK) for the graphics. It provides a GUI written using Tkinter. MayaVi is free and distributed under a BSD license. It is also cross platform and should run on any platform where both Python and VTK are available. For more information, sources, binaries, screenshots, installation instructions, documentation etc. visit the MayaVi home page at: http://mayavi.sourceforge.net Also bundled with MayaVi is a VTK pipeline browser written in Python and a utility module that makes using VTK easier from the Python interpreter. New in this release: * New Modules: - Volume: Volume visualization using either texture or ray cast mappers. A useful GUI color transfer function editor is also built-in. - Glyph: Generic glyphs for scalars and vectors. - BandedSurfaceMap: Display banded contours of input data. - Labels: Automatic labeling of data used in other modules. - Text: Display 2D text strings. * New Filters: - ExtractGrid: Select part of a grid or subsample it. - StructuredPointsProbe: Probes any input data onto a structured points grid so the data can be used for Volume visualization. - Delaunay3D/Delaunay2D: Triangulate input point data. - UserDefined: Manage any user specified VTK filter. - CutPlane: Cut through any input dataset with a plane. * Support for VTK's new XML based files and for EnSight case files (EnSight6 and EnSightGold formats are supported). * Improved VectorCutPlane and VelocityVector so you can use a 3D arrow and any of the standard 2D glyphs. * The 'imv' module is now part of the mayavi.tools package. imv is a simple MayaVi based module that provides Matlab like one liners to view 2D surfaces and arrays from the Python interpreter. * Support to save rendered scene to vector EPS/PS/PDF or save the text to TeX output using GL2PS. Requires VTK to be built with GL2PS support (the MayaVi binaries support this). Also added support for exporting to a Wavefront OBJ file. * Support to save the stereo rendering options, the lookup table settings and the lighting as defaults. * Default lookup tables have better contrast. 28 user contributed lookup tables are also included in the sources. Any lookup table can be reversed. * Improved vtkPipeline modules: - ConfigVtkObj: Separated functionality of the ConfigVtkObj class into a separate ConfigVtkObjFrame and a driver class. More options to generate GUI's automatically. - VtkPickler: Can save/load state from a dictionary. * Fixes for Python-2.3 and Tk-8.4 related changes. * Fixes for the Mac OS X. * Many other fixes and improvements. Acknowledgements: Many thanks to the following folks. - Gerard Gorman: initial volume module with GUI CTF editor. - Axel Steuwer: initial Delaunay3D filter. - Richard Boardman: patch for OBJ export. - Fernando Perez and Arnd Baecker: user contributed lookup tables. - P. N. Badri Narayanan: Win32 VTK DLL's. - Thanks also to others who reported bugs and sent in bug fixes. Have fun! prabhu |
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From: Prabhu R. <pr...@ae...> - 2002-06-12 20:40:38
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Hi, This is to announce the availability of the MayaVi Data Visualizer version 1.2. MayaVi is a free, easy to use, scientific data visualizer. It is written in Python and uses the Visualization Toolkit (VTK) for the graphics. It provides a GUI written using Tkinter. MayaVi is free and distributed under a BSD license. It is also cross platform and should run on any platform where both Python and VTK are available. For more information, downloadable sources and binaries, screenshots, installation instructions, documentation etc. visit the MayaVi home page at: http://mayavi.sourceforge.net Also bundled with MayaVi is a VTK pipeline browser written in Python and a new utility module that makes using VTK easier from the interpreter. New in this release: (*) Changed license from GPL/LGPL to BSD. [1] (*) Added an integrated data picker. Thanks to Jose Paulo for initial contributions. (*) Added a light control toolkit (contributed by Raymond Maple). This lets you configure 8 different lights using a GUI. (*) Added a CellData to PointData filter. (*) Fixed bad problem in the lookup table editor that would freeze MayaVi under Win32. (*) The scalar/vector range can be set to predetermined values. A visible range for data can also be specified. Anything outside this range is made transparent. (*) Added --display and --geometry command line options and a new help menu. (*) Geomview OOGL export option (thanks to Jeremy Gill). (*) RPM and Debian packages are available in addition to source and binary releases for Win32 and GNU/Linux. PDF docs are also available at the site. [1] Please don't flame me on the license change issue. I posted about it on the MayaVi-users list and gave it considerable thought. You can read the original post here: http://sourceforge.net/mailarchive/forum.php?thread_id=694778&forum_id=1824 It seemed that moving to BSD would be the best possible option. Have fun! prabhu |
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From: Prabhu R. <pr...@ae...> - 2002-05-23 18:36:45
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hi,
I just created a new bunch of CVS snapshots (23/05/2002). Right now
there is a source tarball, an RPM, a Debian package, a linux binary
(standalone) and also an older Win32 binary release.
You can access them from
http://mayavi.sourceforge.net/download.html
Click on the CVS snapshots link to get to the download page.
To see whats new look at the Changelogs online here:
http://mayavi.sourceforge.net/ChangeLog
I've also added a new light manipulation kit that was contributed by
Raymond C. Maple. I've modified his code so that it works well with
MayaVi. This module allows one to configure 8 different lights (set
their position, color etc.) using a GUI. The light kit is integrated
with the renderwindow so pressing 'l' or 'L' will show you the light
config tool (you could also access it via the Options menu). Just
like the picker the light kit can also be used when you are using the
ivtk.py module. The code is very generic and it should be possible to
use it from simple Python-VTK scripts also.
Many thanks to Raymond for his very nice addition!
Raymond, I've made quite a few modifications to your code (nothing
significant though), so if you are interested let me know and I can
mail you the changed code or you can get it off CVS or the latest CVS
snapshots. The code is in Misc/Lights.py.
Have fun!
prabhu
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From: Prabhu R. <pr...@ae...> - 2001-11-20 00:02:11
|
Hi, This is to announce the availability of the MayaVi Data Visualizer version 1.1. MayaVi is a free, easy to use, scientific data visualizer. It is written in Python and uses the Visualization Toolkit (VTK) for the graphics. It provides a GUI written using Tkinter. MayaVi is free and distributed under the GNU GPL. It is also cross platform and should run on any platform where both Python and VTK are available. For more information, downloadable sources and *binaries*, screenshots, installation instructions, documentation etc. visit the MayaVi home page at: http://mayavi.sourceforge.net Also bundled with MayaVi is a VTK pipeline browser written in Python and a new utility module that makes using VTK easier from the interpreter. What's new in this release: (*) Binaries for Linux and Win32 made using Gordon McMillan's Installer. (*) MayaVi can now be used from other Python programs, can be scripted and can also be used interactively from the Python interpreter. For a specific example see: http://mayavi.sourceforge.net/docs/guide/c760.html (*) Installs as a Python package using distutils. (*) Command line arguments are now supported. (*) Added 3D Studio file import, RenderMan RIB/JPEG/PNG export. (*) Improved streamline module and better 2D streamlines. (*) More options to place the vector glyphs for vector plots. (*) Added filters: PolyDataNormals, WarpVector, WarpScalar, ExtractUnstructuredGrid. Added module: WarpVectorCutPlane. (*) New VtkData class that handles user constructed vtk data. (*) Added basic tensor support, a tensor related filter and module. Contributed by Jose Paulo <moi...@ci...> -- many thanks! (*) Huge speed up (by a factor of 50 or more) in the "expand all" feature of the pipeline browser, many thanks to Dan Blezek <bl...@cr...> for this! (*) New utility module, ivtk.py, that makes interactive VTK a pleasure. More information on this module is available at: http://mayavi.sourceforge.net/docs/guide/x799.html (*) Intelligently disable annoying VTK warning messages. Various bugs have been fixed and other small enhancements have been made. Have fun! prabhu |
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From: Prabhu R. <pr...@ae...> - 2001-05-14 05:07:11
|
Hi, This is to announce the availability of the MayaVi Data Visualizer version 1.0. MayaVi is a free, easy to use scientific data visualizer. It is written in Python and uses the Visualization Toolkit (VTK) for the graphics. It provides a GUI written using Tkinter. MayaVi is free and distributed under the GNU GPL. It is also cross platform and should run on any platform where both Python and VTK are available. MayaVi is based on ideas from an earlier Computational Fluid Dynamics (CFD) data visualizer called VTK-CFD. The original VTK-CFD code base has been completely rewritten and redesigned. The resulting project has been renamed MayaVi and has been SourceForged. For more information, downloadable sources, screenshots, installation instructions, documentation etc. visit the MayaVi home page at: http://mayavi.sourceforge.net Also bundled with MayaVi is a VTK pipeline browser written in Python. This pipeline browser enables one to view and configure the objects in the VTK pipeline. Also included with this is a simple VTK object "pickler". Using this one can save the state of a VTK object to a file and reload it later. The latest version of the pipeline browser is 1.1 and is available at: http://mayavi.sourceforge.net/vtkPipeline/ Have fun! prabhu |
