Metadata-Version: 2.4
Name: streamlit
Version: 1.47.1
Summary: A faster way to build and share data apps
Home-page: https://streamlit.io
Author: Snowflake Inc
Author-email: hello@streamlit.io
License: Apache License 2.0
Project-URL: Source Code, https://github.com/streamlit/streamlit
Project-URL: Bug Tracker, https://github.com/streamlit/streamlit/issues
Project-URL: Release notes, https://docs.streamlit.io/develop/quick-reference/changelog
Project-URL: Documentation, https://docs.streamlit.io/
Project-URL: Community, https://discuss.streamlit.io/
Project-URL: Twitter, https://twitter.com/streamlit
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Classifier: Environment :: Web Environment
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
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Classifier: Programming Language :: Python :: 3.12
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Classifier: Topic :: Database :: Front-Ends
Classifier: Topic :: Office/Business :: Financial :: Spreadsheet
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Software Development :: Libraries :: Application Frameworks
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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](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 |