Short answer: choose gnuplot if plotting is the job — it is a small, free, dedicated tool that does figures extremely well and nothing else. Choose MATLAB if plotting is one step inside numerical computing: matrices, simulation and engineering toolboxes in a single commercial environment from MathWorks. Comparing them only on charts misses the point; the real question is how much machinery around the chart you need.
The same task, both ways
The task: plot a computed curve together with measured data points, labelled and saved for a report.
In gnuplot
Functions and data files are plotted with the same command, which makes overlaying a model curve on measurements natural. The script below needs no toolboxes, no project and no licence server — just gnuplot and the data file.
set terminal pngcairo size 900,600
set output 'model.png'
set xlabel 'x'
set ylabel 'y'
set key top left
plot sin(x)/x with lines title 'Model', 'measured.csv' using 1:2 with points title 'Measured'You can paste the function half into the online terminal right now. For real measurement overlays, curve fitting and error bars cover the common report patterns.
In MATLAB
In MATLAB the same figure is a few lines inside an interactive environment where the data was likely computed moments before. Arrays, matrix operations and a large set of add-on toolboxes sit behind the plot, and figures can be wired into apps and simulations. That integration is the product. If your numbers are born in MATLAB, plotting anywhere else adds an export step; if they are not, the environment is a heavy way to draw a chart.
Side-by-side comparison
| Dimension | Gnuplot | MATLAB |
|---|---|---|
| Scope | Plotting only, done deeply | Full numerical computing environment with plotting included |
| Working model | Standalone program; portable script files | Interactive environment and its own language |
| Learning curve | Small; focused entirely on figures | Larger; a language plus environment plus toolboxes |
| Output quality | Publication terminals, including LaTeX-native options | Strong figures, tightly integrated with its reports and apps |
| Ecosystem | Shell pipelines and any host language can drive it | Engineering toolboxes, Simulink and a large user community |
| Best fit | Figures from files, papers, automated reporting | Computation-heavy engineering and research workflows |
Who should pick which?
Pick gnuplot if your data comes from files, instruments or other programs, and the deliverable is the figure itself — especially for LaTeX papers, where the LaTeX workflow is hard to beat.
Pick MATLAB if the computation is the project — simulation, control, signal processing — and plotting is the last step of work already happening there.
Keep learning
If you are building broader data and numerical skills around your plotting, structured courses give you the surrounding foundations in order. See Coursera for structured courses. This is an affiliate link — see our Affiliate Disclosure.