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“paraview” 3.14.1-1ubuntu1.1 source package in Ubuntu

Changelog

paraview (3.14.1-1ubuntu1.1) precise; urgency=low

  * Fix crash in STL ascii reader. (LP: #1072053)
  * Skip warning messages on startup. (Closes: LP: #995949)
 -- Anton Gladky <email address hidden>   Thu, 25 Oct 2012 21:09:08 +0200

Upload details

Uploaded by:
Anton Gladky on 2013-07-17
Sponsored by:
Marc Deslauriers
Uploaded to:
Precise
Original maintainer:
Ubuntu Developers
Component:
universe
Architectures:
any all
Section:
science
Urgency:
Low Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Precise proposed on 2013-08-16 universe science

Downloads

File Size MD5 Checksum
paraview_3.14.1.orig.tar.gz 39.6 MiB 039c612777f5eb7bba5d37319f34c922
paraview_3.14.1-1ubuntu1.1.debian.tar.gz 30.5 KiB a2032bf1a6f5559f4454b4521c965dc4
paraview_3.14.1-1ubuntu1.1.dsc 2.8 KiB feefe32796bc6e2e2da072b8e58f3859

Binary packages built by this source

paraview: Parallel Visualization Application

 ParaView is an open-source, multi-platform application designed to
 visualize data sets of size varying from small to very large. The
 goals of the ParaView project include the following:
 .
     * Develop an open-source, multi-platform visualization application.
     * Support distributed computation models to process large data sets.
     * Create an open, flexible, and intuitive user interface.
     * Develop an extensible architecture based on open standards.
 .
 ParaView runs on distributed and shared memory parallel as well as
 single processor systems and has been successfully tested on Windows,
 Mac OS X, Linux and various Unix workstations, clusters and
 supercomputers. Under the hood, ParaView uses the Visualization
 Toolkit as the data processing and rendering engine and has a user
 interface written using Qt.

paraview-dev: Parallel Visualization Application. Development header files

 ParaView is an open-source, multi-platform application designed to
 visualize data sets of size varying from small to very large. The
 goals of the ParaView project include the following:
 .
     * Develop an open-source, multi-platform visualization application.
     * Support distributed computation models to process large data sets.
     * Create an open, flexible, and intuitive user interface.
     * Develop an extensible architecture based on open standards.
 .
 ParaView runs on distributed and shared memory parallel as well as
 single processor systems and has been successfully tested on Windows,
 Mac OS X, Linux and various Unix workstations, clusters and
 supercomputers. Under the hood, ParaView uses the Visualization
 Toolkit as the data processing and rendering engine and has a user
 interface written using Qt. Development header files

paraview-doc: Parallel Visualization Application. Comprehensive documentation

 ParaView is an open-source, multi-platform application designed to
 visualize data sets of size varying from small to very large. The
 goals of the ParaView project include the following:
 .
     * Develop an open-source, multi-platform visualization application.
     * Support distributed computation models to process large data sets.
     * Create an open, flexible, and intuitive user interface.
     * Develop an extensible architecture based on open standards.
 .
 ParaView runs on distributed and shared memory parallel as well as
 single processor systems and has been successfully tested on Windows,
 Mac OS X, Linux and various Unix workstations, clusters and
 supercomputers. Under the hood, ParaView uses the Visualization
 Toolkit as the data processing and rendering engine and has a user
 interface written using Qt. Comprehensive documentation.

paraview-python: Parallel Visualization Application. python-support

 ParaView is an open-source, multi-platform application designed to
 visualize data sets of size varying from small to very large. The
 goals of the ParaView project include the following:
 .
     * Develop an open-source, multi-platform visualization application.
     * Support distributed computation models to process large data sets.
     * Create an open, flexible, and intuitive user interface.
     * Develop an extensible architecture based on open standards.
 .
 ParaView runs on distributed and shared memory parallel as well as
 single processor systems and has been successfully tested on Windows,
 Mac OS X, Linux and various Unix workstations, clusters and
 supercomputers. Under the hood, ParaView uses the Visualization
 Toolkit as the data processing and rendering engine and has a user
 interface written using Qt. Enables python support.