Veusz 0.8 --------- Velvet Ember Under Sky Zenith ----------------------------- http://home.gna.org/veusz/
Veusz is Copyright (C) 2003-2005 Jeremy Sanders firstname.lastname@example.org 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 0.7: Please refer to ChangeLog for all the changes. Highlights include: * Datasets can be linked together with expressions * SVG export * Edit/Copy/Cut support of widgets * Pan image with mouse * Click on graph to change settings * Lots of UI improvements
Features of package: * X-Y plots (with errorbars) * Images (with colour mappings) * 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 * 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/software_hardware/numarray Microsoft Core Fonts (recommended) http://corefonts.sourceforge.net/ PyFITS (optional) http://www.stsci.edu/resources/software_hardware/pyfits
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
to discuss new features or if you'd like to contribute code. The newest code can always be found in CVS.