# Welcome to Streamlit :wave:
**The fastest way to build and share data apps.**
Streamlit lets you turn data scripts into shareable web apps in minutes, not weeks. It’s all Python, open-source, and free! And once you’ve created an app you can use our [Community Cloud platform](https://streamlit.io/cloud) to deploy, manage, and share your app!
## Installation
```bash
pip install streamlit
streamlit hello
```
Streamlit can also be installed in a virtual environment on [Windows](https://github.com/streamlit/streamlit/wiki/Installing-in-a-virtual-environment#on-windows), [Mac](https://github.com/streamlit/streamlit/wiki/Installing-in-a-virtual-environment#on-mac--linux), and [Linux](https://github.com/streamlit/streamlit/wiki/Installing-in-a-virtual-environment#on-mac--linux).
## A little example
Streamlit makes it incredibly easy to build interactive apps:
```python
import streamlit as st
x = st.slider('Select a value')
st.write(x, 'squared is', x * x)
```
<img src="https://raw.githubusercontent.com/streamlit/docs/main/public/images/simple_example.png"/>
## A bigger example
Streamlit's simple and focused API 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).
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/streamlit_app.py) which illustrates all the major building blocks of Streamlit. You can try it right now at [share.streamlit.io/streamlit/demo-self-driving](https://share.streamlit.io/streamlit/demo-self-driving).
## The Streamlit GitHub badge
Streamlit's GitHub badge helps others find and play with your Streamlit app.
[](https://share.streamlit.io/streamlit/demo-face-gan)
Once you deploy your app, you can embed this badge right into your GitHub readme.md as follows:
```markdown
[](https://share.streamlit.io/yourGitHubName/yourRepo/yourApp/)
```
## More Information
- Our [launch post](https://towardsdatascience.com/coding-ml-tools-like-you-code-ml-models-ddba3357eace?source=friends_link&sk=f7774c54571148b33cde3ba6c6310086) explaining why we created Streamlit
- Our [Community Cloud platform announcement](https://blog.streamlit.io/introducing-streamlit-cloud)
- Our amazing [community](https://discuss.streamlit.io/) where Streamlit users share apps, ask questions, and help each other out
- Streamlit [documentation](https://docs.streamlit.io/) and [blog](https://blog.streamlit.io) for the latest Streamlit info
- More [demo projects](https://github.com/streamlit/) to inspire you
- And if you would like to contribute, see [instructions here](https://github.com/streamlit/streamlit/wiki/Contributing)
## Community Cloud
With [Community Cloud](https://streamlit.io/cloud) you can deploy, manage, and share your apps with the world, directly from Streamlit — all for free. Sign-up [here](https://share.streamlit.io/signup).
## License
Streamlit is completely free and open-source and licensed under the [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0) license.
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"description": "# Welcome to Streamlit :wave:\n\n**The fastest way to build and share data apps.**\n\nStreamlit lets you turn data scripts into shareable web apps in minutes, not weeks. It\u2019s all Python, open-source, and free! And once you\u2019ve created an app you can use our\u00a0[Community Cloud platform](https://streamlit.io/cloud)\u00a0to deploy, manage, and share your app!\n\n\n\n## Installation\n\n```bash\npip install streamlit\nstreamlit hello\n```\n\nStreamlit can also be installed in a virtual environment on [Windows](https://github.com/streamlit/streamlit/wiki/Installing-in-a-virtual-environment#on-windows), [Mac](https://github.com/streamlit/streamlit/wiki/Installing-in-a-virtual-environment#on-mac--linux), and [Linux](https://github.com/streamlit/streamlit/wiki/Installing-in-a-virtual-environment#on-mac--linux).\n\n## A little example\n\nStreamlit makes it incredibly easy to build interactive apps:\n\n```python\nimport streamlit as st\n\nx = st.slider('Select a value')\nst.write(x, 'squared is', x * x)\n```\n\n<img src=\"https://raw.githubusercontent.com/streamlit/docs/main/public/images/simple_example.png\"/>\n\n## A bigger example\n\nStreamlit's simple and focused API lets you build incredibly rich and powerful tools.\u00a0 [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).\n\n\n\nThe 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/streamlit_app.py) which illustrates all the major building blocks of Streamlit. You can try it right now at [share.streamlit.io/streamlit/demo-self-driving](https://share.streamlit.io/streamlit/demo-self-driving).\n\n## The Streamlit GitHub badge\n\nStreamlit's GitHub badge helps others find and play with your Streamlit app.\n\n[](https://share.streamlit.io/streamlit/demo-face-gan)\n\nOnce you deploy your app, you can embed this badge right into your GitHub readme.md as follows:\n\n```markdown\n[](https://share.streamlit.io/yourGitHubName/yourRepo/yourApp/)\n```\n\n## More Information\n\n- Our [launch post](https://towardsdatascience.com/coding-ml-tools-like-you-code-ml-models-ddba3357eace?source=friends_link&sk=f7774c54571148b33cde3ba6c6310086) explaining why we created Streamlit\n- Our [Community Cloud platform announcement](https://blog.streamlit.io/introducing-streamlit-cloud)\n- Our amazing [community](https://discuss.streamlit.io/) where Streamlit users share apps, ask questions, and help each other out\n- Streamlit [documentation](https://docs.streamlit.io/) and [blog](https://blog.streamlit.io) for the latest Streamlit info\n- More [demo projects](https://github.com/streamlit/) to inspire you\n- And if you would like to contribute, see [instructions here](https://github.com/streamlit/streamlit/wiki/Contributing)\n\n## Community Cloud\n\nWith [Community Cloud](https://streamlit.io/cloud) you can deploy, manage, and share your apps with the world, directly from Streamlit \u2014 all for free. Sign-up [here](https://share.streamlit.io/signup).\n\n## License\n\nStreamlit is completely free and open-source and licensed under the [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0) license.\n",
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