My thoughts on web frameworks in Python and R (PyWebIO vs Streamlit vs R Shiny)

In this video, I will be sharing my thoughts on comparing the following web frameworks in Python and R particularly PyWebIO, Streamlit and R Shiny. These web frameworks allow the development of simple web apps that you can use to deploy your machine learning models or for creating interactive data-drive web apps.

⭕ Timeline
0:00 Introduction
0:40 PyWebIO and Streamlit for Python
0:52 Shiny for R
0:58 Additional web frameworks for Python (Django, Flask, CherryPy)
1:37 Available resources from YouTube on these web framework
4:26 Architecture of the libraries
-- PyWebIO: input, output, session and platform
-- Streamlit: input and output
-- R Shiny: UI and server
8:06 Page layout
9:12 Which libraries have a navigation bar?
10:26 Gallery of example apps
12:09 Examples on using functions
16:48 Choosing the perfect web framework?

⭕ Links for this video:

Note: 0:28 Thanks to Akshay Arjun Sonawane for suggesting the idea of comparing PyWebIO to Streamlit.

⭕ Playlist:
Check out our other videos in the following playlists.

⭕ Recommended Books:

⭕ Stock photos, graphics and videos used on this channel:

⭕ Follow us:

⭕ Disclaimer:
Recommended books and tools are affiliate links that gives me a portion of sales at no cost to you, which will contribute to the improvement of this channel's contents.

#pywebio #streamlit #rshiny #python #webapp #dataapp #66daysofdata #datascience #machinelearning #dataprofessor

[hectormotsepe]

Got my notification at work. Thank you Prof

[shirinnajdi]

Thanks for the useful video. I haven't quite worked with these libraries but from what I see I would go for PyWebIO first

[Ibraheem_ElAnsari]

Thanks a lot ! I think I'm gonna just focus on streamlit instead of working with multiple librairies

[mikiallen]

thanks sir for the useful content, however I still have the following questions which I hope you can help answer them by way of giving examples in whatever framework you prefer
1- these interactive web frameworks run on "local host", then how can I run a them on the internet i.e. to serve it other machine over the internet
2- is there a way to run them on streaming type of data like i.e. in on-line mode, e.g. like weather stations or prices coming out live off an exchange
3- how to turn such web app in to a standard app like those exist on Google Play Store or Apple Store
thanks, keep up the good work

[amitchaudhari]

I liked pywebio its more pythonic
It would be a greate help if you make a complete playlist on pywebio

[yosolonopuedo]

Umm missing Plotly-Dash is like a lot to miss in this case, which would be like the Shiny for Python... Liked the video though.

[BashirAljounaidy]

thank you very much very useful channel

Can you make a comparison between web framework specialised for inference of ml models such as: ray, seldon and beltoML?

[boscodsouza]

Can you create a proper shopping site or student monitoring website using pywebio

[sullivanzheng]

For me, no responsive design (not mobile friendly) and no navigation bar are deal killers since I am developing dashboards for senior clients and they tend to use mobile phones and would like to share the data via mobile phone. I have been using Shiny R extensively in the past, having constructed an web app with 10s of menu items and 2nd level menu items on side bars. But I really really wish I could use the flexibility and AI-friendliness and Spark compatibility of my fingers for Streamlit.

[AliAlias]

Streamlit is better but don't have authentication.
Can use pywebio for make login page for streamlit?

[zadilkhwaja]

I didn't understand how to deploy

[Arjungtk]

It was hard to believe that you really made it.