# streamlit
**Repository Path**: mirrors/streamlit
## Basic Information
- **Project Name**: streamlit
- **Description**: Streamlit是一个开源Python库,可轻松构建用于机器学习的漂亮应用程序
- **Primary Language**: Python
- **License**: Apache-2.0
- **Default Branch**: develop
- **Homepage**: https://www.oschina.net/p/streamlit
- **GVP Project**: No
## Statistics
- **Stars**: 14
- **Forks**: 11
- **Created**: 2019-12-07
- **Last Updated**: 2025-09-20
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
# 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](https://streamlit.io/cloud) 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:
```bash
$ 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](https://docs.streamlit.io/get-started) for specific installs.
The app features a bunch of examples of what you can do with Streamlit. Jump to the [quickstart](#quickstart) section to understand how that all works.
## Quickstart
### A little example
Create a new file named `streamlit_app.py` in your project directory with the following code:
```python
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
```
### Give me more!
Streamlit comes in with [a ton of additional powerful elements](https://docs.streamlit.io/develop/api-reference) 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 |