A short intro to Plotly App Studio

Meet the Speaker

Austin Kiesewetter
Austin Kiesewetter is a Plotly community member and software engineer at Martin Engineering.
This video introduces Plotly App Studio as a fast and flexible environment for building and deploying interactive Python data apps. Designed to feel familiar for users of Jupyter Notebooks but with more power and modern features, App Studio bridges the gap between prototyping and production.
The interface supports multiple entry points to start building. Each notebook block supports code, markdown, Dash controls, and SQL cells. You can run Python in blocks and build dashboards visually, without needing to write callbacks. Dash components can be added directly through the UI to create responsive layouts.
Integrated AI tools enhance productivity and insight generation
- Use the AI chat interface to analyze data, suggest visualizations, and write code
- Automatically generate graphs by asking natural language questions
- Insert AI-generated charts and code directly into the notebook
Explore Mode provides a point-and-click way to manipulate data
- Filter, sort, and aggregate data from a DataFrame
- Create visualizations with Plotly Express and preview chart options
- Export both chart and transformation code into the notebook for full control
With one-click deployment, apps can be shared via URL with internal teams or external users. No need for infrastructure setup or manual deployment workflows.
App Studio offers a powerful yet accessible way to turn notebooks into production-grade dashboards, ideal for beginners learning Python and advanced users building fast prototypes. Watch the video to explore each of these features in action.