目录
Lukas Masuch

[chore] Add security-sensitive areas to code review instructions (#14194)

Describe your changes

Enhances AI code review instructions with a detailed checklist of security-sensitive areas to flag during reviews:

  • WebSocket/server/auth/session handling
  • File upload and path traversal risks
  • CORS, XSRF, and security headers
  • External dependencies and assets
  • Runtime JS execution and code injection
  • HTML/Markdown sanitization (XSS)
  • iframe embedding and postMessage
  • Sensitive data handling

Testing Plan

  • Documentation-only change - no tests required
Agent metrics
Type Name Count
skill checking-changes 1
skill finalizing-pr 1
subagent fixing-pr 1
subagent general-purpose 1
2个月前9249次提交

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Welcome to Streamlit 👋

A faster way to build and share data apps.

What is Streamlit?

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.

Why choose Streamlit?

  • Simple and Pythonic: Write beautiful, easy-to-read code.
  • Fast, interactive prototyping: Let others interact with your data and provide feedback quickly.
  • Live editing: See your app update instantly as you edit your script.
  • Open-source and free: Join a vibrant community and contribute to Streamlit’s future.

Installation

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.

Streamlit Hello

Quickstart

A little example

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

Little example

Give me more!

Streamlit comes in with a ton of additional powerful elements to spice up your data apps and delight your viewers. Some examples:

Input widgets Dataframes Charts Layout Multi-page apps Fun

Our vibrant creators community also extends Streamlit capabilities using  🧩 Streamlit Components.

Get inspired

There’s so much you can build with Streamlit:

Check out our gallery! 🎈

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Resources

  • Explore our docs to learn how Streamlit works.
  • Ask questions and get help in our community forum.
  • Read our blog for tips from developers and creators.
  • Extend Streamlit’s capabilities by installing or creating your own Streamlit Components.
  • Help others find and play with your app by using the Streamlit GitHub badge in your repository:
    [![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](URL_TO_YOUR_APP)
    Streamlit App

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🎉 Thanks for your interest in helping improve Streamlit! 🎉

Before contributing, please read our guidelines here: https://github.com/streamlit/streamlit/wiki/Contributing

License

Streamlit is completely free and open-source and licensed under the Apache 2.0 license.

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