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Your points are valid but I wish you'd compare apples to oranges. Streamlit is a front and back-end in one, so comparing it to React over and over again isn't particularly useful. Streamlit even uses React on its front-end. Streamlit would be more usefully compared to things like Dash and Solara.

i am working on a saas app like ai girlfriend stuff should i use streamlit to get first 100 users and then change the framework to flask,faastapi or django or should i use this framework from start ?

No one will use streamlit for prod. We know that. But Streamlit is the best tool to get started with MVP and get that initial funds by validating your ideas. No one will invest their time and effort on learning react and then building one with React without knowing if it is even worth spending your time on something that people doesn't even want.

Gradio probably falls in the same category

What do you think Mesop from google ?

Hi, I followed you steps, but still could not debug it, and here is my config of launch.json, would you please take a look?

I build many ML and Dashbord web app prototypes with streamlit. Its so fast and easy with this framework. And i often was asking myself why Streamlit is considered only as a prototype tool and not suited for serious applications. So thank you for clarifying the limits Soc

I don't agree that Streamlit is hard to Seamless integration with APIs and backend services. Because I built a client-server bussiness website with Streamlit-Gin(Golang)-Mongodb-Redis-Nginx-Docker-K8s, it is quite easy to handel thounds of users, if you can't do it, doesn't means other people can't do it.

Great video! Kudos!

Thank you for clarifying on pits and falls of Streamlit. I see that you're mentioning that it is still the framework of choice for Data Science applications. Very informative video!

You need to slow down , what’s the difference between reading the docs and your content if you don’t explain things step by step that’s why ppl come to CZcams to learn in a better way, these are important topics. I think the series is a good idea but you need to explain it in step by step manner. Otherwise it’s just waste of time. Hope it helps .

Hi there - agree with what you were saying about "Handling running sessions and multi threading capability", and the slow refresh rate, but disagree with the other items. We've successfully built an enterprise grade data science app. Custom styling (CSS/HTML/javascript) is possible but not as elegant as it could be, community support is slower but def enough to get a production-grade MVP up. Handling REST APIs is easy and painless and is the architecture we use (Streamlit as front end, REST APIs via AWS as the back end). For startups Streamlit is a fantastic choice for getting an MVP up and learning. For scale up, I agree with you using a more traditional front end with back end is more flexible and granular (although can be much more expensive to develop, especially if you only have data science skills in-house and need to get full stack capability from outside). For resource constrained AI/ datascience startups with no frontend dev skills in house and only datascience skills inhouse, Streamlit is a perfect choice. If you have front end skills in house (HTML/CSS/Java or Typescript) plus React etc. and separate back end skills for REST APIS then lucky for you, I would go for the front + back end arrangement

No recommendation of some other framework as a replacement?

Great Video and explanation. I am trying the API Chain using Mistral with Ollama locally. Model is giving correct URL with some unnecessary text like - Base on doc correct API_URL is http:/...... . Next step model is executing all these text as api which is causing error. Can you suggest anything to try.

great video

is there a way to combine the two? using streamlit and javascript combo backend and react frontend?

Thank you very much! Very useful video and straight to the point.

I think it all depends on the use case. Streamlit is great for fast prototyping, to transform ideas to apps *really* fast. Even for regular users that have no advanced programming skills! if you are a full stack experienced developer, you can still use the same Streamlit to build up specialized production-ready apps. Again, It’s all about use cases. I think this kind of videos doesn’t really help developers to decide on what to use. I’ve put into production Streamlit apps with custom components that fill the business needs, are easy to Maintain and were developed in a very short time. For me Streamlit+business knowledge is all you need.

👋 Hello! Streamlit team member here. Thanks for the video. We are exploring how to address most of the issues you raised and how to make Streamlit more awesome for production, since many developers and companies are using it that way. I agree that if you need a full scale, pixel-perfect consumer grade application for tens of thousands of concurrent users, you probably need a traditional three tier full stack application. But many other real world use cases don't require that level. Two specific points in your video I want to push back a bit: 1. You mostly focus on comparing to React and Angular, however many developers don't have those skills and they can be expensive and time consuming to learn, and also significantly increase the maintenance and improvement cost of your application - I have seen this first hand in several of my own roles! It's incredibly powerful to manage the whole application in python. 2. The Streamlit Community is incredibly vibrant and active and there's a ton of support and existing material out there. It might not compare to React but we have one of the most engaged communities in the Python ecosystem for sure! Cheers, loved the Chatbot video you put together and feel free to reach out if you want to chat further! Thanks!!

Hi, my main.py file runs successfully when I do streamlit run main.py, hence there seems to be no issues when I try to debug using the feature in your video (great video by the way!). However after using PyInstaller to package my streamlit app into an .exe file, upon opening the .exe, I get the error that st.session_state cannot function without `streamlit run`. But `streamlit run` can only operate with .py files; how do I then open my .exe file and also use st.session_state?

This is gold, although the implementation is bare-bone, it allows you to customise everything quite well. This is good stuff

Great collection! Keep it up! Your videos looks great!

I love 13:23 that you showed the streaming. That's really what I am after! Thanks bro!

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Really great and useful 👌

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Cool! Thanks for putting this together 🙏🏻

I really enjoyed streamlit so far, but unfortunately we cannot use it in a production environment due to the weird axios 403 error we get in the st.file_uploader when deployed via Azure Web App. Only solution provided in the forums ist to disable the xsrf protection, what is kinda bad

For a second I thought its Stanley Tuchchi

Great content! I look forward to learning more from your channel. Thanks for sharing!

awesome stuff! thanks for putting it together

Great content 👌

"Promo sm" 😚

Thank you!

Thanks for this video! It helps me a lot with my problem debugging my python app!

Thanks man. You saved me a lot of pain.