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  1. Streamlit • A faster way to build and share data apps

    Dec 27, 2015 · Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver interactive data apps – in only a few lines of code.

  2. Streamlit documentation

    Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver dynamic data apps with only a few lines of code. Build and deploy powerful data apps in minutes.

  3. Install Streamlit - Streamlit Docs

    Learn how to install Streamlit with comprehensive guides to use pip, conda, Anaconda Distribution, cloud environments, and command line tools.

  4. Create an app - Streamlit Docs

    The goal is to use Streamlit to create an interactive app for your data or model and along the way to use Streamlit to review, debug, perfect, and share your code.

  5. Get started with Streamlit - Streamlit Docs

    Get started with Streamlit This Get Started guide explains how Streamlit works, how to install Streamlit on your preferred operating system, and how to create your first Streamlit app!

  6. Tutorials - Streamlit Docs

    Explore step-by-step tutorials for building Streamlit apps including authentication, database connections, data visualization, and advanced features.

  7. Basic concepts of Streamlit - Streamlit Docs

    Streamlit's architecture allows you to write apps the same way you write plain Python scripts. To unlock this, Streamlit apps have a unique data flow: any time something must be updated on the screen, …

  8. App Gallery - Streamlit

    Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver interactive data apps – in only a few lines of code.

  9. Playground • Streamlit

    Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver interactive data apps – in only a few lines of code.

  10. Components - Streamlit

    Streamlit is an open-source Python framework for data scientists and AI/ML engineers to deliver interactive data apps – in only a few lines of code.