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Secure Your AI-Generated Code with Socket MCP
Socket MCP brings real-time security checks to AI-generated code, helping developers catch risky dependencies before they enter the codebase.
A faster way to build and share data apps.
Streamlit lets you transform Python scripts into interactive web apps in minutes, instead of weeks. Build dashboards, generate reports, or create chat apps. Once you’ve created an app, you can use our Community Cloud platform to deploy, manage, and share your app.
Open a terminal and run:
$ pip install streamlit
$ streamlit hello
If this opens our sweet Streamlit Hello app in your browser, you're all set! If not, head over to our docs for specific installs.
The app features a bunch of examples of what you can do with Streamlit. Jump to the quickstart section to understand how that all works.
Create a new file named streamlit_app.py
in your project directory with the following code:
import streamlit as st
x = st.slider("Select a value")
st.write(x, "squared is", x * x)
Now run it to open the app!
$ streamlit run streamlit_app.py
Streamlit comes in with a ton of additional powerful elements to spice up your data apps and delight your viewers. Some examples:
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Input widgets | Dataframes | Charts | Layout | Multi-page apps | Fun |
Our vibrant creators community also extends Streamlit capabilities using 🧩 Streamlit Components.
There's so much you can build with Streamlit:
Check out our gallery! 🎈
Deploy, manage and share your apps for free using our Community Cloud! Sign-up here.
[](URL_TO_YOUR_APP)
🎉 Thanks for your interest in helping improve Streamlit! 🎉
Before contributing, please read our guidelines here: https://github.com/streamlit/streamlit/wiki/Contributing
Streamlit is completely free and open-source and licensed under the Apache 2.0 license.
FAQs
A faster way to build and share data apps
We found that streamlit demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 3 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Product
Socket MCP brings real-time security checks to AI-generated code, helping developers catch risky dependencies before they enter the codebase.
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Research
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