How to Graph Linux Software
Linux distributions have less software options available for them all around than Windows or Mac operating systems do. For that reason, it may be difficult to find graphing software to help you render your ideas visually. The open-source community has developed several graphing software options and some of them have many features. These options allow you to graph your data without having to resort to another operating system for one software package.
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Instructions
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Graph on your Linux machine using GraphMonkey, which is is a simple graphing calculator interface that plots line graphs and curves in two dimensions. It is cross platform and runs on Linux as well as Windows machines. It is native to Gnome and does not run natively in KDE environments, but you can still use it with additional libraries installed. It is available in the repositories or for download online.
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Use GNUPlot to render your graphs. GNUPlot is a software program driven by the command line, which can draw graphs in two dimensions or three dimensions. It can graph lines, curves and vectors. It is a cross platform between Linux, Windows and Mac computers. You can download it online or install it directly from the Linux repositories.
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Draw your graphs using Tulip, which is a graph visualization software that can work in two dimensions and three dimensions. It also allows you to create charts. It runs on Linux machines and is available for download online as well as in the repositories.
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Plot your graphs using KAlgebra. It is a simple graphing software that can render in two dimensions or three dimensions but cannot make charts. KAlgebra is native to the KDE Linux environment, rather than Gnome, but can still run on Gnome machines with all of the KDE dependent libraries installed. You can download it online or through the repositories.
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Tips & Warnings
Different Linux distributions vary by the type of software that works on them properly. All of the software packages listed here work on Ubuntu, which is the most popular Linux distribution. Other distributions may have differing results.
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