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Veusz 0.6
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Velvet Ember Under Sky Zenith
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http://home.gna.org/veusz/

Veusz is Copyright (C) 2003-2005 Jeremy Sanders <>
Licenced under the GPL (version 2 or greater)

Veusz is a scientific plotting package written in Python (currently
100% Python). It uses PyQt for display and user-interfaces, and
numarray for handling the numeric data. Veusz is designed to produce
publication-ready Postscript output.

Veusz provides a GUI, command line and scripting interface (based on
Python) to its plotting facilities. The plots are built using an
object-based system to provide a consistent interface.

Changes from 0.5:
Please refer to ChangeLog for all the changes.
Highlights include:
* Major UI enhancements - much faster to control now, more dialogs
* Veusz can be embedded within other non-PyQt Python programs. Its plots
can be updated at any time from the embedding program using the
command line interface.
* Dialogs for manipulating datasets using expressions, and direct editing
* Multiple documents can be opened simultaneously
* Lots of bug fixes (e.g. log axes improvement, rotation of labels)
* Unicode support in plots

Features of package:
* X-Y plots (with errorbars)
* Stepped plots (for histograms)
* Line plots
* Function plots
* Fitting functions to data
* Stacked plots and arrays of plots
* Plot keys
* Plot labels
* LaTeX-like formatting for text
* EPS output
* Simple data importing
* Scripting interface
* Save/Load plots
* Dataset manipulation
* Embed Veusz within other programs

To be done:
* Contour plots
* Images
* UI improvements
* Import filters (for qdp and other plotting packages, fits, csv)

Requirements:
Python (probably 2.3 or greater required)
http://www.python.org/
Qt (free edition)
http://www.trolltech.com/products/qt/
PyQt (SIP is required to be installed first)
http://www.riverbankcomputing.co.uk/pyqt/
http://www.riverbankcomputing.co.uk/sip/
numarray
http://www.stsci.edu/resources/softw...dware/numarray
Microsoft Core Fonts (recommended)
http://corefonts.sourceforge.net/

For documentation on using Veusz, see the "Documents" directory. The
manual is in pdf, html and text format (generated from docbook).

If you enjoy using Veusz, I would love to hear from you. Please join
the mailing lists at

https://gna.org/mail/?group=veusz

to discuss new features or if you'd like to contribute code. The
newest code can always be found in CVS.

If non GPL projects are interested in using Veusz code, please contact
me. I am happy to consider relicencing code for other free projects,
if I am legally allowed to do so.

Cheers

Jeremy

Hi Jeremy,
I am interested in collaborating to your project, but first of all I
must install Veusz and see what is the feeling I get. I'm almost a
newbie in Python but I'm an old programmer and have quite a lot of
experience in designing scientific software. For example I know very
well contour plots also if the alghorithm I used can now be a little
out-dated (some year ago it was a flash in C...).
Another reason to be tempted in this adventure is the fact that your
choice is exactly mine: Python and Qt (and besides that I can learn to
use OO ... at last!)
Bye.