Veusz

Veusz

Veusz is an open-source scientific plotting and graphing software. It allows users to generate 2D and 3D plots, histograms, contours,vesctor fields and more from data. Veusz is cross-platform and has a GUI for interactive plot generation.
Veusz image
plotting graphing data-visualization 2d-plots 3d-plots histograms contours vector-fields

Veusz: Open-source Scientific Plotting Software

Veusz is an open-source scientific plotting and graphing software that allows users to generate 2D and 3D plots, histograms, contours, vector fields and more from data, with a cross-platform GUI for interactive plot generation.

What is Veusz?

Veusz is an open-source application designed for interactive plotting and graphing of scientific data. It can generate a wide variety of 2D and 3D plots including line plots, scatter plots, histograms, contour plots, vector fields, bar charts, maps and more.

Some key features of Veusz include:

  • Intuitive graphical user interface for interactive plot construction
  • Support for very large data sets
  • High-quality output of publication-ready plots
  • Extensive customization options for plot styles
  • Import data from files, functions or other sources
  • Cross-platform - works on Windows, Mac and Linux
  • Scriptable using Python to automate workflows
  • Export plots in variety of formats like PDF, PNG, SVG, etc.
  • Large collection of customizable axes, grids, labels, etc.
  • Powerful data transformation capabilities

Veusz excels at allowing users to quickly visualize scientific datasets through its interactive drag-and-drop interface. It does away with the need to script plotting code from scratch. The learning curve is small but Veusz packs a lot of power and flexibility underneath. With its broad format compatibility and top-notch output, Veusz is a compelling open-source alternative to proprietary graphing software for researchers, engineers and anyone who needs highly-refined publication-quality plots.

Veusz Features

Features

  1. Interactive GUI for plot generation
  2. 2D and 3D plotting
  3. Histograms
  4. Contours
  5. Vector fields
  6. Data analysis
  7. Export plots as images or PDFs
  8. Scriptable using Python
  9. Cross-platform (Windows, Linux, macOS)

Pricing

  • Open Source

Pros

Free and open source

Intuitive and easy to use GUI

Powerful plotting capabilities

Extensive formatting options

Scriptable for automation and batch processing

Cross-platform compatibility

Cons

Limited built-in statistical analysis features

Steep learning curve for scripting and automation

Small user community and documentation


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