Streamlit meets WebAssembly - stlite

Abstract

[Streamlit](https://streamlit.io/) is a popular framework for interactive web-based data apps in Python. However, there are some cases where users want to run their apps offline or without sending sensitive data to remote servers. To address these concerns, we introduce '[stlite](https://github.com/whitphx/stlite)': a WebAssembly port of Streamlit. It provides offline capability, data privacy, scalability, and multi-platform portability including desktop app packaging, while preserving Streamlit's original features, such as Python productivity and its rich ecosystem. In this talk, we will discuss the benefits of stlite and demonstrate how to build and deploy stlite applications in a variety of ways, using ML/CV examples. We will also look at its internals from a technical point of view, which may inspire you with ideas on how to make use of Pyodide and how to transform Python frameworks for the Pyodide/Wasm runtime. You can try out stlite online: https://edit.share.stlite.net/

Description