feedgnuplot VS matplotlib-cpp

Thanks for the post. The obvious comparison is feedgnuplot: https://github.com/dkogan/feedgnuplot/

That works similarly in that it plots standard input. The backend is gnuplot, which is a double-edged sword: it's far more full-featured than brplot, but almost certainly is much slower also. I'll try out brplot to see if it would be a good replacement for cases where speed is important. Thanks!

My friend wrote a gnuplot wrapper that is a bit cleaner to use called 'feedgnuplot'

https://github.com/dkogan/feedgnuplot

It's in the debian repos so you can pull it if you're in a debian derivative too, like Ubuntu.

Oh hey Dima.

Feedgnuplot is really slick.

https://github.com/dkogan/feedgnuplot

It's in the debian repos too.

You want feedgnuplot: https://github.com/dkogan/feedgnuplot/

It gives you all the power of gnuplot. So you can make simple plots in the console, or fancy graphical ones, or output to files on disk or whatever.

Is there a declarative language or framework to create ad-hoc GUIs that consume structured data from stdin stream and spit-out a GUI?

Like feedgnuplot [1] but not only restricted to graphs.

[1] https://github.com/dkogan/feedgnuplot

I found using shell as an interactive environment to be pretty productive using https://github.com/dkogan/feedgnuplot and https://github.com/dkogan/vnlog. The filesystem becomes your state (instead of in memory state of your Python interpreter) which forces you to write Unix-style tools. Plotting with feedgnuplot spins up an interactive Qt plotter which I often used to explore 3D plots. It's not "inline" and fancy and does take a bit of grokking but I eventually found it more productive than Jupyter, especially as my development moved away from Python.

One of the tools I absolutely love is feedgnuplot which presents a stdin CLI interface to gnuplot.

Also, if one doesn't want to learn Gnuplot's DSL try using feedgnuplot which presents a stdin interface for whitespace delimited tabular data.

I am aware of this excellent matplotlib C++ wrapper. Are there any C/C++ tools similar to scipy.signals? I currently use the python tools to generate header files and can translate algorithms to C++, but I would like a more direct well to develop in C++.

If you want it to be as simple as possible I’d recommend this matplotlib wrapper

THere is also this one, which is header only, so it's much simpler to install https://github.com/lava/matplotlib-cpp

There's actually a wrapper for matplotlib for cpp https://github.com/lava/matplotlib-cpp, so it's more or less doing exactly what you asked. Cpp doing all the heavy lifting, then matplotlib making the graphs.

There's matplotlib-cpp if you want to use the same kind of interface as with python.

or https://github.com/lava/matplotlib-cpp

well I usually use Python's matplotlib to do the plottings. It was the easiest I think. Before that, I attempted this library, which is a somewhat wrapper for C++: https://github.com/lava/matplotlib-cpp