Veusz

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Veusz
Original author(s)Jeremy Sanders[1]
Initial releaseOctober 28, 2007; 16 years ago (2007-10-28)[2]
Stable release
3.6.2[3] / 26 February 2023; 13 months ago (26 February 2023)
Cross-platform
TypePlotting
LicenseGNU GPLv2+
Websiteveusz.github.io

Veusz is a scientific plotting package. Veusz is a Qt application written in Python, PyQt and NumPy. It is freely available for anyone to distribute under the terms of the GPL. It is designed to produce publication-quality plots. The name should be pronounced as "views".

This program produces plots in popular

SVG. It is cross-platform, working under Microsoft Windows, macOS and Unix/Linux
.

Plots are built up from a set of plotting widgets which can be added to the document and whose properties are edited using a consistent interface. For example, graph widgets can be placed within a grid widget to create an array of graphs. Widgets include X-Y plots, functions,

, or entered, edited or created using functions from existing datasets. Functions can also be fitted to data.

Veusz is extensible with Python plugins. Plugins can be added for importing data in other formats, automating operations and creating different kinds of mathematical relationships between datasets. The program also provides a command line and scripting interface (based on Python) to its plotting facilities. The saved file format is a simple Python text script, which makes it easy to create plots from other programs.

Veusz was reviewed by Linux Format magazine,[4] saying that "There's plenty of scope for creating colourful, engaging graphics". It was also included in their "Hot Pics" selection on their cover disc. Veusz can also be used as a drawing backend for the SciTools Easyviz package.[5]

References

  1. ^ "Personal webspace of Jeremy Sanders". jeremysanders.net. Retrieved 2018-10-17.
  2. ^ "veusz-1-0". GitHub. Oct 28, 2007.
  3. ^ Error: Unable to display the reference properly. See the documentation for details.
  4. ^ Veitch, Nick (March 2011). "Veusz". Linux Format (142): 68.
  5. ^ "Easyviz Documentation". Archived from the original on 2012-03-28. Retrieved 2011-07-29.

External links

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