Create Matplotlib visualizations from the command-line
I do lots of data analyses in the command-line and I was missing a simple utility to plot the output of a command (without having to script it). I like very much the Matplotlib API but I found no CLI to pipe data into it. So, I wrote MatplotCLI, a simple CLI that reads data from the stdin and allows to easily create interactive plots from the command-line. Have a look at the README for examples and recipes. Let me know what you think, thanks! Some examples: $ plt "hist(x,30)" < sample.json $ cat sample.json | plt --no-show "hist(x,30); savefig('myimage.png')" $ plt --no-input " x =…
In plain words
MatplotCLI is a command-line tool that creates Matplotlib visualizations by reading data from standard input. It lets data analysts pipe command output directly into plots without writing scripts, using familiar Matplotlib syntax. The tool accepts JSON data and supports interactive plotting, image export, and NumPy operations. It's designed for users who work frequently in the terminal and want quick, scriptless visualization of their analyses.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
I do lots of data analyses in the command-line and I was missing a simple utility to plot the output of a command (without having to script it). I like very much the Matplotlib API but I found no CLI to pipe data into it. So, I wrote MatplotCLI, a simple CLI that reads data from the stdin and allows to easily create interactive plots from the command-line. Have a look at the README for examples and recipes. Let me know what you think, thanks! Some examples: $ plt "hist(x,30)" < sample.json $ cat sample.json | plt --no-show "hist(x,30); savefig('myimage.png')" $ plt --no-input " x = np.linspace(-1,1,2000); y = x*np.sin(1/x); plot(x,y); axis('scaled'); grid(True)" $ echo ' {"a":0, "b":1} {"a":1, "b":0} {"a":3, "b":3}' | plt "plot(a,b)"
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