Plotly’s story — data apps for everyone

Chris Parmer, Chief Product Officer and co-founder of Plotly, walks through Plotly’s journey and vision. He emphasizes how Python has become the default language for data analytics and how Plotly enables teams to turn that analytics code into production-grade data applications.

BI dashboards fall short when it comes to modeling, interactivity, and customization. Dash data apps go beyond reading data. They run models, trigger pipelines, and allow full control over computation and UI. These applications are written in Python, letting teams connect to any data source, run custom logic, and embed results in business workflows.

• Plotly Dash apps are fully customizable and integrate directly with Python
• Applications can trigger models, APIs, and pipelines beyond static dashboards
• Teams retain control over data cleaning, normalization, and logic
• Dash apps embed within the browser and are easy to share across teams

App Studio is a feature in the Dash Enterprise platform that helps teams convert notebooks into data apps, arrange visuals with a drag-and-drop editor, and apply themes without writing extra code. The new reactive scripting model turns static parameters into interactive inputs with minimal changes. Analysts who know Python can build interactive apps without needing frontend expertise.

• App Studio transforms notebooks into shareable data applications
• Visual editor handles layout, theming, and UI defaults
• Reactive scripting simplifies building interactivity from existing code
• No need for deep app framework knowledge to get started

Dash Enterprise takes care of everything else. It handles authentication, deployment, debugging, and security. Once installed, users can log in and start building secure, maintainable data applications that scale across the business.

Watch the video to follow along and see how Plotly is building the future of accessible, code-first data applications.