- Download
38.9 MB -
Visit Developer's Site
Jeremy Sanders
Veusz is a scientific plotting package, designed to create publication-ready Postscript or PDF output. It features an easy to use graphical interface as well as a command line interface and can be scripted or embedded in Python scripts. Graphs are constructed in a modular fashion from separate components. Datasets can be interactively modified or created from within the program.
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.
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.
What's New
Version 1.20.1:
Changes:
- Include free-desktop appdata, MIME and desktop files
- When plotting xy widget filled error regions, plot line on top
- Fix embedding interface startup problem in 1.20
- Additional embedding interface fixes for Python 3
- Fix crash in tutorial if flashing widget deleted
- Fix polar plot crash with reverse minumum and maximum radii
- Fix crash when changing range of broken axes interactively
- Fix object deletion crash in setting menu
- Check output dataset is not same as an input for histograms
- Fix for compilation on Qt 4.6
- Catch socket errors on embed client
- Fixes for formatting strings, including fixes for arguments of the extended %Vg format and properly supporting %%
- When restoring window position, do not restore offscreen
Version 1.20.1:
Changes:
- Include free-desktop appdata, MIME and desktop files
- When plotting xy widget filled error regions, plot line on top
- Fix embedding interface startup problem in 1.20
- Additional embedding interface fixes for Python 3
- Fix crash in tutorial if flashing widget more...
Requirements
Intel, OS X 10.5 or later
Intel, OS X 10.5 or later
(5)
(5)
| Downloads:17,191 |
| Version Downloads:614 |
| Type:Business : Applications |
| License:Free |
| Date:12 Feb 2014 |
| Platform:Intel 64 / Intel 32 / OS X |
| Price:Free |
Overall (Version 1.x):  |
| Features: |
| Ease of Use: |
| Value: |
Stability: |
-
-
-
Veusz is a scientific plotting package, designed to create publication-ready Postscript or PDF output. It features an easy to use graphical interface as well as a command line interface and can be scripted or embedded in Python scripts. Graphs are constructed in a modular fashion from separate components. Datasets can be interactively modified or created from within the program.
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.
Features:
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.
Features:
- X-Y plots (with errorbars)
- Contour plots
- Bar graphs
- 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
+88
+9
Don't ask me why!
+9
+227
Eric-Woehler reviewed on 04 May 2013
If you are using CSV data with some number in columns, it should be a matter of going to Data->Import, choosing CSV, clicking import. Then close the dialog, click on the ternary plot diagram, then choose your datasets to plot in the properties tab.
We also have a mailing list here where you can get more help:
http://home.gna.org/veusz/support/
Specific bugs can be filed here: https://github.com/jeremysanders/veusz/issues
+1
+88
This is huge. I can now use it!
More later, but this looks like an exceptionally good approach to managing plotting, meaning that the program seems to have a way of getting the job done with the least amount of clicking around. It also includes some ability to examine data (zooming) and what I call "project management" where multiple data sets can be controlled within one document.
+2
+45
Myschizobuddy reviewed on 15 Nov 2010
+80
piquadratpi2 rated on 18 Nov 2013
Saltedgreens rated on 09 Jul 2012
+13
Just-Mac rated on 14 Jan 2012
+20
Piquadrat rated on 12 Dec 2010