Your Guide to Quality Data Science Products

Explore Shiny for Python, the powerful framework that merges R Shiny's best practices with Python for creating scalable and maintainable dashboards.

Learn more about Tapyr, an open-source Shiny for Python framework, in this recap of a Shiny Gathering exploring its features for building deployment-ready interactive web apps.

Meet Shinylive - A beginner-friendly way to share and run Shiny applications without a Python server - works with GitHub gists!

Meet Rhino's younger sibling, Tapyr - the framework for building enterprise-ready Shiny for Python applications.

Explore validating Shiny for Python dashboards with Playwright. Ensure reliable data analysis through end-to-end testing.

Streamline your data storytelling in Python using great_tables, mirroring R's {gt} capabilities in Quarto and Shiny for Python.

Explore creating custom components in Shiny for Python to enhance interactive data visualization with libraries like Drawflow.

Deploy your starter Shiny for Python app with GitHub pages

Incorporate multiple pages in your Shiny for Python app and connect them using routing

CSV data is quick and fun, but real-world data is often stored in databases. Learn how to access MySQL and Postgres in this Shiny for Python Databases guide.

Modernize your dashboards with Shiny for Python SCSS - Syntactically Awesome Style Sheets

Shiny, an R-exclusive web framework is now available in Python. How do they compare? Find out in this detailed R Shiny vs. Shiny for Python comparison.