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paraview package

paraview 4.0.1-1build1 source package in Ubuntu

Changelog

paraview (4.0.1-1build1) trusty; urgency=low

  * No change rebuild against libav 9.
 -- Dmitrijs Ledkovs <email address hidden>   Sun, 10 Nov 2013 00:15:12 +0000

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Uploaded by:
Dimitri John Ledkov
Uploaded to:
Trusty
Original maintainer:
Ubuntu Developers
Architectures:
any all
Section:
science
Urgency:
Low Urgency

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File Size SHA-256 Checksum
paraview_4.0.1.orig.tar.gz 93.6 MiB ed47a83aef4e51fc97cff25366d319706e249038bb59fbc5f6960eea170ff273
paraview_4.0.1-1build1.debian.tar.gz 26.2 KiB 295b8a454df66e4eb255f11d85318915a27a5cf796e05a5fe37aaf54eb095b2c
paraview_4.0.1-1build1.dsc 2.8 KiB f014e52a03b882f1e58e614fdc3e63cc56c1c673ee8e64ec4db46f7d17f1a248

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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.