ParaView 3.6 Released
Kitware has just announced that ParaView 3.6 is now available for all to download and try out. Big new features in this version:
- Major Overhaul of the Python API, making for easier procedural scripts
- Experimental new support for CGNS, Silo, and TecPlot from VisIt plugins (only available in Linux Binaries)
- Support for Tabular data like CSV
- New camera animations based on splines & curve-fitting algorithms
- OverView – Information VIsualization tool
- StreamingParaView – ParaView with support for piecewise data streaming
Hit their website to download it now, and read the full announcement after the break.
Update: Not sure why, but “Downloads of ParaView are temporarily disabled. We apologize for the inconvenience. Please check back again soon.”. Should still be available via CVS tho.
Update #2: This just in from folks at Kitware:
There is a problem with a corrupt DLL in the windows amongst some other problems. They are being resolved as we speak and the download should be re-enabled later today or early tomorrow at the latest. I apologize for the inconvenience.
Kitware, Sandia National Laboratories and Los Alamos National Lab are
proud to announce the release of ParaView 3.6. The binaries and
sources are available for download from the ParaView website
release includes several new features along with plenty of bug fixes
addressing a multitude of usability and stability issues including
those affecting parallel volume rendering. For a more exhaustive list,
please refer to http://paraview.org/Bug/roadmap_page.php
Based on user feedback, ParaView’s Python API has undergone a major
overhaul. The new simplified scripting interface makes it easier to
write procedural scripts mimicking the steps users would follow when
using the GUI to perform tasks such as creating sources, applying
filters, etc. Details on the new scripting API can be found on the
We have been experimenting with adding support for
additional file formats such as CGNS, Silo, Tecplot using VisIt
plugins. Since this is an experimental feature, only the Linux
binaries distributed from our website support these new file formats.
ParaView now natively supports tabular data-structures thus improving
support for CSV files including importing CSV files as point-sets or
structured grids. We have completely redesigned the charting/plotting
components with several performance fixes as well as usability
improvements. It is possible to plot arrays from arbitrary datasets
directly using Plot Data filter. Upon hovering over the plots tooltips
are shown which detail the plotted values.
In an effort to better support animations involving the camera, we
have added support for specifying camera movements along splines or
for orbiting around objects in space. This version has many GUI
usability improvements including, but definitely not limited to:
• Color palettes which make it easier to switch between color schemes
that are suitable for printing and for screen.
• Improved support for temporal readers and filters.
• Axes annotations and scalar bar for 2D render view.
• Zooming to selected region in 3D view.
• Quick launch for creating sources and filters using Ctrl+Space or Alt+Space.
Apart from these enhancements, ParaView includes a pre-alpha release of
OverView, an application developed using the ParaView application
framework. OverView is a generalization of the ParaView scientific
visualization application designed to support the ingestion,
processing and display of informatics data. The ParaView client-server
architecture provides a mature framework for performing scalable
analysis on distributed memory platforms, and OverView uses these
capabilities to analyze informatics problems that are too large for
individual workstations. This application still contains many
experimental features and is not yet documented, but feel free to try
it out and report bugs and feature requests.
StreamingParaView, another application developed using the ParaView
application framework. StreamingParaView processes structured
datasets in a piecewise fashion, on one or many processors. Because
the entire dataset is never loaded into memory at once,
StreamingParaView makes it possible to visualize large datasets on
machines that have insufficient RAM to do so otherwise. Piece culling,
reordering and caching preserve ParaView’s normally high interactivity
while streaming. This application still contains many experimental
features and is not yet documented, but we encourage users to try it
out and report bugs and feature requests.
Currently, both OverView and StreamingParaView are available through
Bugs, feature requests and any questions or issues can be posted to
the ParaView Mailing List at [email protected].
As always, we rely on your feedback to make ParaView better and
powerful. We are experimenting with a new user-feedback mechanism.
Please use http://paraview.uservoice.com/ or click
on the “Tell us what you think” link of www.paraview.org to leave your
feedback and vote for new features.
The ParaView Team.