jupytext.vim VS feedgnuplot

I tried plugins like jupytext.vim but it was not enough mature in these old times :-)

You can also use jupytext.vim to easily open and edit notebooks. Then you can use a REPL program to evaluate the different cells individually. The only downside to me is that you can’t save the output back to the notebook (images etc.).

Editing *.ipynb files can also be edited with jupytext.vim, which automatically converts *.ipynb files using jupytext which you open them in Vim. I haven't tried this yet (it's on my todo list), but it looks pretty solid.

For editing notebooks in vim, I've created https://github.com/goerz/jupytext.vim. Note that this does not allow to run any cells, it just edits the inputs.

The motivation behind this was to have some basic interaction with existing ipynb files on a remote server without having to run the jupyter server (and set up port forwarding etc.) It's worth noting that the `jupytext.vim plugin is most useful if you're actually not running `jupytext` within jupyter; If you are, you could just directly open the .py or .md files linked to any .ipynb in your editor.

I've used `jupytext.vim` to edit existing notebooks and then run them through `jupyter nbconvert --to notebook --execute`. It's also great for refactoring: moving code from a notebook files into a module, between notebooks, or to create a new notebook as a variation of an existing one.

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!

Oh hey Dima.

Feedgnuplot is really slick.

https://github.com/dkogan/feedgnuplot

It's in the debian repos too.

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.

Write space delimited tabular data (ideally in vnlog format) and plot it using feedgnuplot. Also helps decouple concerns (data generating application focuses on generating data).