flask-tables VS dash

This is really a matter of preference. I do not use Flask-Admin on my projects, I have always preferred to design my own admin pages than being forced to accept the choices that are imposed by these big extensions. This allows me to have a consistent UI across admin and non-admin pages.

One are that people often complain is that it is hard and/or tedious to build tables with data, which is one of the building blocks most admin pages need. Last year I wrote a blog article where I show how I build tables in my Flask apps: https://blog.miguelgrinberg.com/post/beautiful-interactive-t....

Check https://blog.miguelgrinberg.com/post/beautiful-interactive-tables-for-your-flask-templates and then the Server Side section. That helps you create an API that paginates and searches, so you don't load all data at once, but the relevant/needed data.

jQuery datatables looks perfect. I've found a github repo using it in conjunction with flask. That's the perfect stack for me!

Looks like you need Datatable. See https://blog.miguelgrinberg.com/post/beautiful-interactive-tables-for-your-flask-templates

Of course there are valid use cases for splitting frontend and backend technologies. NiceGUI is for those who don’t want to leave the Python ecosystem and like to reap the benefits of having all code in one place. There are other options like Streamlit, Dash, Anvil, JustPy, and Pynecone. But we initially created NiceGUI to easily handle the state of external hardware like LEDs, motors, and cameras. Additionally, we wanted to offer a gentle learning curve while still providing the ability to go all the way down to HTML, CSS, and JavaScript if needed.

You could use something like Streamlit or Dash. In any case you will be accessing your app through the browser.

Useful list. Dash & bokeh as two more in the space

https://github.com/plotly/dash

I also heard of Dash which serves the same purpose I guess, but I think it has more to offer.

Plotly is a plotting library, and Dash is their open-source framework for building data apps with Python, R or Julia. (Dash also has an Enterprise version, but we'll focus on the open-source library here.)

Of course there are valid use cases for splitting frontend and backend technologies. NiceGUI is for those who don’t want to leave the Python ecosystem and like to reap the benefits of having all code in one place. There are other options like Streamlit, Dash, Anvil, JustPy, and Pynecone. But we initially created NiceGUI to easily handle the state of external hardware like LEDs, motors, and cameras. Additionally, we wanted to offer a gentle learning curve while still providing the ability to go all the way down to HTML, CSS, and JavaScript if needed.

looks like you can get it manually (albeit with a loss of interactivity) https://github.com/plotly/dash/issues/145

Shiny is a framework that makes it easy to build interactive web applications. Shiny was introduced 10 years ago as an R package. In his 10th anniversary keynote speech, Joe Cheng announced Shiny for Python at the 2022 RStudio Conference. Python programmers can now try out Shiny to create interactive data-driven web applications. Shiny comes as an alternative to other frameworks, like Dash, or Streamlit.