feedgnuplot VS plotly

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).

Github: https://github.com/plotly/plotly.py

First we need to install the Plotly. To create some very dynamic graphics, this tool helps a lot.

my good dude wake up and smell the plotly. Knowing the ins and outs of matplotlib is helpful but doing interactive stuff with jupyter I always use plotly.

Plotly documentation (https://plotly.com/python/)

I don´t know your workflow, but I use 2 markdown based presentations: obsidian advance slides and Quarto presentations. The former is a plugin for Obsidian, which is the software I use to take all my notes, write my thesis, etc., so It makes it extremely easy to make presentations since all my information is in Obsidian. In the other hand, Quarto is a publishing system (articles, presentations, websites books) that can be easily integrated with python and R. This makes it supper convenient for showing my data to my PI since I can analyze my data and at the same time make a presentation for the data. Besides this, Quarto also integrates with my Zotero library, so I can insert citations. Lastly, one thing that made my Quarto presentations infinitely better that the powerpoints, Is that I can insert interactive graphs with plotly, so when I'm showing my data, my PI is able to explore the data inside the presentation.

Plotly GitHub repository: https://github.com/plotly/plotly.py

I'm using plotly.py now. This is why I love this community.

Depending on the nature of your reporting requirements, you could output a formatted Excel document with Python and a library such as openpyxl, and shove that into your SharePoint environment. This would be less dynamic than PBI reports can be, but may be sufficient. If you want viz as well, you can use something like ggplot or Plotly. Again, less dynamic than PBI for the same effort.