Veusz

Name: Veusz
Rating: 3.4375 (6 reviews)

Version 3.4

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Veusz overview

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

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

What’s new in version 3.4

Updated on Oct 18 2021

Version 3.4:

User-visible changes:

Font styles can be chosen
Add setting to specify minor ticks in axis
Add setting to ignore NaN values in point plotter, rather than breaking lines
Add copy and paste of images (thanks to chakuro)
Add embedding SVG graphics (thanks to korintje)
New tight-Bezier line style (thanks to korintje)
Add hide icon (eye) in settings and grey tabs as appropriate
Add ddot latex command
Axis auto ranges (e.g. 5-95%) can now have decimals
Filename set after Load()
Fix renaming 2D datasets
Fix for blank dataset output names in dataset plugin
Fix for crash in QDP plugin
Linux dark mode improvements
Font foundry name removed from SVG files
Add page colour or fill setting
Change default xy plotter marker size and fill colour for new documents
Add function widget global colour setting

Internal changes:

Add new compatibility level functionality for new documents
Iminuit2 fixes (thanks to korintje)
Drop Python 2 compatibility
Source code reformatting
Updated appdata (thanks to kevinsmia1939)
Import sip from PyQt5.sip if available
Update to require SIP 5+ build system (thanks to mitya57)
Python 3.10 fixes

View older Veusz updates

Information

License

Free

Size

52.6 MB

Developer’s website

https://veusz.github.io/

Downloads

23007

App requirements

Intel 64
macOS 10.13.0 or later

0.0

(0 Reviews of )

There are no reviews yet

Iliketrash

Jun 19 2018

3.0

5.0

Version: 3.0

This is a damn fine app (v2.x); it makes beautiful plots and does an excellent job of handling the multitude of options for customizing a plot appearance. And now, v3.x adds 3D plots; this is an awesome addition! And I just wanted to get the butt-headed comment from 2014 off of the top of this list.

RobertB2171

May 5 2014

1.21

0.5

Version: 1.21

This app cannot read delimited text files. This glaring deficiency makes it useless, and worth its price.

Feb 12 2014

1.20.1

Version: 1.20.1

Bad download link today

Eric•Woehler

May 4 2013

1.17.1

1.0

Version: 1.17.1

Looked promising but couldn't plot some ternary data I had. Spent a couple of hours getting nowhere, the tutorial instructions didn't match what was happening on screen and all my efforts to import, plot and generate useful results failed. The plot of my ternary data did not match the values in the spreadsheet/data table, so no go. Tried it, didn't provide me with required plot, have deleted it and now looking for alternative ternary data plotting app - and they appear to be very rare!

Nov 15 2011

1.13

Version: 1.13

From Features: "Binary data import added." 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.

myschizobuddy-1

Nov 16 2010

1.9

Version: 1.9

Its 2D capability surpasses that of SciDAVis. It's more mature interm of functionality, with only lacking feature being 3D support. Lots of graph editing details to make the graph look just the way you want it.