Hi,

this is really great, thank you for brining this up!! 

I played with it locally, very impressive!

Marimo just seems to be hitting every issue I had with jupyter when trying 
to produce application-like notebooks:


   - it is reactive (you change input and then all related cells  re-run)
   - it has a view only mode
   - it exports easy to HTML
   - it is github friendly
   - it has plenty of native UI elements


For your demo, I was able to run it locally, following your instructions, 
but I am unable to run is 
using https://molab.marimo.io/github.com/hoostus/marimobean/blob/main/pnl.py 
(I get some strange errors)

Would be nice to allow people to run it without having to install anything 
for demo purposes

Also, if you use the example.beancount as a default file, then this would 
make it directly comparable with the Fava 
demo https://fava.pythonanywhere.com/example-beancount-file/

Regards.

On Friday, March 13, 2026 at 8:10:55 AM UTC+1 [email protected] wrote:

> In another thread Chary Ev2geny wrote about just using notebooks to help 
> visualise beancount data:
>
> "I know this is not exactly what you are looking for, but I was also 
> looking for ways to better visualize beancount data. I just decided to do 
> this in jupyter notebook,  thus having access to all the modern data 
> processing and visualization tools, available there"
>
> Someone else mentioned using Marimo instead which was new to me; as an 
> excuse to learn Marimo I put together a quick proof of concept to 
> demonstrate the power of this approach, with reactive UI, UI components 
> like drop downs and sliders, and plotting of data, all in just a few lines 
> of python.
>
> I made a brief screen recording so you can see what it looks like:
> https://imgur.com/a/tcYi1e8
>
> The code is at
> https://github.com/hoostus/marimobean
>
> You should be able just clone the repo and then run it via:
> uv run marimo run pnl.py
>
>

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