dash VS nicegui

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.

I was looking at this space and nicegui seemed like the best ootb experience.

https://nicegui.io/

Dash is similar in spirit, as a "build web UIs with Python" framework. Dash seems more similar to nicegui (https://nicegui.io) architecturally than to Hyperdiv. Like nicegui, it builds a static dom that is then mutated via callbacks or data bindings.

By contrast, Hyperdiv lays out UI declaratively based on state, and when state changes, the app re-runs, generating an updated UI. Streamlit and Hyperdiv seem to work similarly, though I'm not sure how Streamlit handles state and state-based layout.

For native GUI, DearPyGui[0] as modern as you can.

For browser web-based GUI, you can use nicegui[1]

[0] -- https://github.com/hoffstadt/DearPyGui

[1] -- https://github.com/zauberzeug/nicegui

I want to bring to attention a set of frameworks that make webdevelopment using Python simple and fun. The popular opinion maybe that webpages developed with Python maybe slow. But this is not the case. Do checkout https://github.com/ofjustpy/ofjustpy/, https://github.com/zauberzeug/nicegui/ and https://github.com/justpy-org/justpy . All these frameworks are build on top of Starlette and make web development really easy. If you want simple and ready to use the nicegui is the choice. If you want fast, scalable, and more control then give ofjustpy a try.

Yes, NiceGUI aims for a very gentle learning curve. Coming from Streamlit I suspect your main adaptation will be that in NiceGUI you need to write valid Python code. Streamlit constantly reevaluates your script which feels nice and easy but creates lots of problems down the road. See https://github.com/zauberzeug/nicegui/discussions/21.

Auth is a big limitation. It's not a built-in component, they have [an example](https://github.com/zauberzeug/nicegui/blob/main/examples/aut...) using the FastAPI layer for auth, but I haven't had time the time to try implementing it. It's definitely not something you get out of the box with NiceGUI.

For scaling, I am viewing it mostly as an internal tool builder. I wouldn't recommend it for external applications. So as far as scaling an internal app I think it works fine. [Their website](https://nicegui.io) is built with NiceGUI, and it works fine, but you can feel the lag occasionally on some of their larger demo pages.

Well, I was at PyCon Ireland last weekend and I missed the NiceGUI talk. I hear postive things about it and anything shiney and anything frontend-related always catches my attention (although I admit talking to a friend when I missed this talk was just as fun, and it was worth it).