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SciDAVis is a user-friendly data analysis and visualization program primarily aimed at high-quality plotting of scientific data. It strives to combine an intuitive, easy-to-use graphical user interface with powerful features such as Python scriptability.

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What is SciDAVis?

SciDAVis is a free application for Scientific Data Analysis and Visualization.

Build Status

License

This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.

A copy of this license is provided in the file gpl.txt.

Platforms

SciDAVis runs on GNU/Linux, Windows and MacOS X; possibly also on other platforms like *BSD.

Version numbers

Full SciDAVis releases have a major and minor number. Within a major number, the software should support backwards compatibility of data files and scripting APIs.

Releases with 3 numbers are beta releases, and/or release candidates. These will have the same major/minor number as the full release they were based on. The only exception is a X.0.Y release, as there is no X.0 full release. An X.0.Y release is a beta release prior to the first full release of major version X.

Installation

See INSTALL.md.

Also consider using a prebuilt package, available for PC and Mac or Linux.

User Manual

Manual

Web site

http://scidavis.sourceforge.net

Credits

Developers

The following people have written parts of the SciDAVis source code, ranging from a few lines to large chunks. In alphabetical order.

Tilman Benkert[1], Knut Franke, Miquel Garriga, Arun Narayanankutty, Russell Standish,

Documentation

The following people have written parts of the manual and/or other documentation. In alphabetical order :

Knut Franke, Roger Gadiou

Translations

The following people have contributed translations or parts thereof. In alphabetical order.

  • Tilman Benkert[1],
  • Markus Bongard,
  • Tobias Burnus,
  • Rémy Claverie,
  • f0ma,
  • Jose Antonio Lorenzo Fernandez,
  • Pavel Fric,
  • Jan Helebrant,
  • Daniel Klaer,
  • Peter Landgren,
  • Fellype do Nascimento,
  • Tomomasa Ohkubo,
  • Mikhail Shevyakov,
  • Mauricio Troviano

Packagers

The following people have made installing SciDAVis easier by providing specialized binary packages. In alphabetical order.

  • Burkhard Bunk (Debian),
  • Quentin Denis (SUSE),
  • Yu-Hung Lien (Mac OS X),
  • Eric Tanguy (Fedora),
  • Mauricio Troviano (Windows installer)

QtiPlot

SciDAVis uses code from QtiPlot, which consisted (at the time of the fork, i.e. QtiPlot 0.9-rc2) of code by the following people:

  • Tilman Benkert[1],
  • Shen Chen,
  • Borries Demeler,
  • José Antonio Lorenzo Fernández,
  • Knut Franke,
  • Vasileios Gkanis,
  • Gudjon Gudjonsson,
  • Alex Kargovsky,
  • Michael Mac-Vicar,
  • Tomomasa Ohkubo,
  • Aaron Van Tassle,
  • Branimir Vasilic,
  • Ion Vasilief,
  • Vincent Wagelaar

The SciDAVis manual is based on the QtiPlot manual, written by (in alphabetical order):

Knut Franke, Roger Gadiou, Ion Vasilief

footnotes: [1] birth name: Tilman Hoener zu Siederdissen

Special Thanks

We also want to acknowledge the people having helped us indirectly by contributing to the following fine pieces of software. In no particular order.

... and many more we just forgot to mention.

About

SciDAVis is a user-friendly data analysis and visualization program primarily aimed at high-quality plotting of scientific data. It strives to combine an intuitive, easy-to-use graphical user interface with powerful features such as Python scriptability.

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