# streamlit

**Repository Path**: cxxowl/streamlit

## Basic Information

- **Project Name**: streamlit
- **Description**: Streamlit — The fastest way to build custom ML tools
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-04-10
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Welcome to Streamlit :wave:

**The fastest way to build custom ML tools.**

Streamlit lets you create apps for your machine learning projects with deceptively simple Python scripts. It supports hot-reloading, so your app updates live as you edit and save your file. No need to mess with HTTP requests, HTML, JavaScript, etc. All you need is your favorite editor and a browser. Take a look at Streamlit in action:

![Example of live coding a dashboard in Streamlit|635x380](https://aws1.discourse-cdn.com/standard10/uploads/streamlit/original/1X/292e985f7f75ef7bef8c27b5899f71f76cd577e0.gif)

**Check out our [launch blog post](https://towardsdatascience.com/coding-ml-tools-like-you-code-ml-models-ddba3357eace)!!**

## Installation

```bash
pip install streamlit
streamlit hello
```

## Example

Streamlit lets you build interactive apps ridiculously easily:

```python
import streamlit as st

x = st.slider('Select a value')
st.write(x, 'squared is', x * x)
```

<img src="https://streamlit-demo-data.s3-us-west-2.amazonaws.com/squared-image-for-github-readme-2.png" width=490/>

## A Bigger Example

Despite its simplicity Streamlit lets you build incredibly rich and powerful tools. [This demo project](https://github.com/streamlit/demo-self-driving) lets you browse the entire [Udacity self-driving-car dataset](https://github.com/udacity/self-driving-car) and run inference in real time using the [YOLO object detection net](https://pjreddie.com/darknet/yolo).

![Making-of Animation](https://raw.githubusercontent.com/streamlit/demo-self-driving/master/av_final_optimized.gif "Making-of Animation")

The complete demo is implemented in less than 300 lines of Python. In fact, the app contains [only 23 Streamlit calls](https://github.com/streamlit/demo-self-driving/blob/master/app.py) which illustrates all the major building blocks of Streamlit. You can try it right now with:

```bash
pip install --upgrade streamlit opencv-python
streamlit run https://raw.githubusercontent.com/streamlit/demo-self-driving/master/app.py
```

## More Information

- Our [launch post](https://towardsdatascience.com/coding-ml-tools-like-you-code-ml-models-ddba3357eace)
- Our lovely [community](https://discuss.streamlit.io/)
- Streamlit [documentation](https://streamlit.io/docs)
- More [demo projects](https://github.com/streamlit/)

## Streamlit for Teams

[Streamlit for Teams](https://streamlit.io/forteams/) is our enterprise edition, with single-click deploy, authentication, web editing, versioning, and more. Please contact us if you would like to learn more.

## License

Streamlit is completely free and open source and licensed under the [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0) license.