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Streamlit VS StreamlitGPT

Compare Streamlit VS StreamlitGPT and see what are their differences

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Streamlit logo Streamlit

Turn python scripts into beautiful ML tools

StreamlitGPT logo StreamlitGPT

Transforming your ideas into fully functional web-apps faster than ever, from prompt to live implementation seamlessly.
  • Streamlit Landing page
    Landing page //
    2023-10-07
  • StreamlitGPT
    Image date //
    2024-02-20
  • StreamlitGPT
    Image date //
    2024-02-20
  • StreamlitGPT
    Image date //
    2024-02-20

But Why Streamlit? Streamlit simplifies the process of turning data scripts into interactive web applications, allowing users from diverse backgrounds to participate. It's the go-to for data pros who want to showcase their work without the hassle of web development.

Streamlit videos

+ Add

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

More videos:

  • Review - 1/4: What is Streamlit
  • Tutorial - How to Build a Streamlit App (Beginner level Streamlit tutorial) - Part 1

StreamlitGPT videos

+ Add

Building an Expense Tracker with StreamlitGPT

Category Popularity

0-100% (relative to Streamlit and StreamlitGPT)

Streamlit

StreamlitGPT

Productivity
100 100%
Productivity
0% 0
Application And Data
61 61%
Application And Data
39% 39
Developer Tools
100 100%
Developer Tools
0% 0
AI Tools
0 0%
AI Tools
100% 100

User comments

Share your experience with using Streamlit and StreamlitGPT. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Streamlit seems to be more popular. It has been mentiond 173 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Streamlit mentions (173)

  • PySheets – Spreadsheet UI for Python
    Does it need to be live (i.e when database or underlying spreadsheet updates does it need to be reflected in real time on the dashboard) or are you ok with static display. Live updating data is a pain I've messed around using javascript to force refresh html iframes on a timer. But I was never really satisfied with this. I've heard you can do things with websockets but that is starting to get too complicated for... - Source: Hacker News / 6 days ago
  • Building an Email Assistant Application with Burr
    Note that there are many tools that make this easier/simpler to prototype, including chainlit, streamlit, etc… The backend API we built is amenable to interacting with them as well. - Source: dev.to / 7 days ago
  • Creating a Sales Analysis Application with Streamlit: A Practical Approach to Business Intelligence
    2.-Go to https://streamlit.io, log in, and create a new app from your GitHub repository. - Source: dev.to / 14 days ago
  • Python dev considering Electron vs. Kivy for desktop app UI
    Hello, Have you ever seen the https://streamlit.io/ ? I think this is what you are looking for. - Source: Hacker News / about 1 month ago
  • Simplify Web App Development: Code Lite, Create Big!
    Here's your savior, let's welcome Streamlit. - Source: dev.to / 2 months ago
View more

StreamlitGPT mentions (0)

We have not tracked any mentions of StreamlitGPT yet. Tracking of StreamlitGPT recommendations started around Feb 2024.

What are some alternatives?

When comparing Streamlit and StreamlitGPT, you can also consider the following products

Anvil.works - Build seriously powerful web apps with all the flexibility of Python. No web development experience required.

Cardapio - Cardapio is an application menu that can work in two modes: as a panel applet (in which case it is...

FastAPI - FastAPI is an Open Source, modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.

Gradio - Build & share machine learning apps delightfully.

Whisker menu - A menu that provides access to favorites, recently used, and searching installed applications.

Streamsync - Streamsync is an open-source framework for creating data apps. Build user interfaces using a visual editor; write the backend code in Python.

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