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Streamlit: Turn a Python script into an interactive data analysis tool

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Re: Streamlit: Turn a Python script into an interactive data analysis tool

#5
This looks super interesting. I relate to the motivation of building something like this- the endless cycle of creating a Jupyter notebook which becomes a Flask app. I really liked the quick feedback loop for the visual components and the fact that it is all in Python.

I haven't checked yet but a question that comes to mind is how extensible is this framework. I can easily see how I'd want to make custom widgets.

Re: Streamlit: Turn a Python script into an interactive data analysis tool

#6
I use Jupyter notebooks all the time for acquiring, cleaning, and exploring datasets. Occasionally these notebooks mutated into tools for more than just one off exploring. It's always felt a little awkward to use them for more day to day data tasks. Steamlit looks amazing for these cases!

Re: Streamlit: Turn a Python script into an interactive data analysis tool

#7
I am not sure "rerunning the script from top to bottom" is a necessary condition but for the code layout to reflect the expected behavior.

How would people compare this to Observable [1]? 1. Javascript vs. Python 2. Client-only vs. server-required?

Does the market already give advantage to Python and server-required because the data sets are too large and live on the server, and the users (data scientists) prefer Python and the existing libraries there?

[1]: https://observablehq.com/

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