Streamlit

Streamlit is an open-source Python framework that enables data scientists, machine learning engineers, and analysts to build interactive data applications quickly. Its primary purpose is to turn Python scripts into shareable web apps for data exploration, model evaluation, and reporting, without requiring front-end development skills. By focusing on a simple, declarative API, Streamlit allows users to focus on data and logic rather than UI boilerplate.

Key features include a rich set of UI components such as sliders, select boxes, file uploaders, data tables, and charts that can be added with straightforward Python commands. Streamlit integrates seamlessly with common data and ML libraries like pandas, NumPy, scikit-learn, PyTorch, and TensorFlow, and supports visualizations from libraries such as Matplotlib, Plotly, and Altair. It offers reactive execution, automatically rerunning scripts when inputs change, which simplifies state management and interaction handling. Additionally, Streamlit provides deployment and sharing options through Streamlit Community Cloud and can be integrated into existing infrastructure via containers or custom hosting.