You can generate a Dash app with Claude in minutes, but until now, getting that app onto Plotly Cloud still meant copying files, opening the UI, uploading a zip, and waiting on the build.

The new Claude connector for Plotly Cloud closes that gap. Connect once, and Claude can create the app, watch the build, pull logs if it fails, publish a fix, and hand you the live URL, all without leaving the conversation.

Next up, we’ll preview our new native App Analytics feature in Plotly Cloud. App Analytics displays visitor counts, page views, callback interactions, CPU, and memory. This enables app authors to see who is using their apps and monitor issues without needing to pay for or configure any 3rd party monitoring or analytics subscriptions.

Finally, we’ll cover the major graphing library releases that landed underneath this month: plotly.py v7 and plotly.js v4. These are major version releases featuring new chart types, new configuration options, bug fixes, and a way to easily share charts in Plotly Cloud in one click.

In this webinar, you’ll learn how to:

• Connect Claude.ai to Plotly Cloud and go from a prompt to a deployed Dash app
• Create, publish, inspect status and logs, and stop or delete apps from the conversation
• Pair the Cloud connector with the Dash Docs MCP so the agent reads the right APIs before it writes code
• Open the Analytics tab on any Plotly Cloud app and read unique visitors, page views and callback activity
• Use the new quiver trace to draw 2D vector fields as arrows, in Python and in JavaScript
• Share a chart to Plotly Cloud from the chart/graph itself with the new Share chart modebar button
• Move off the retired Mapbox traces onto the MapLibre map familyLearn about minor breaking changes from v3 to v4, including CSS color strings and MathJax V3 vs V4

Who it’s for:

Python and JavaScript developers shipping Plotly charts; Dash developers who want a path from a web chat to a live Cloud app; engineering leads evaluating how coding agents should talk to Plotly Cloud; anyone upgrading from plotly.py 6 / plotly.js 3 who want to see what’s new.