May 8th, 2026
Plotly Studio
Introducing the Agentic Workflow in Plotly Studio (Beta)
Go from a question to a production-ready data app through natural conversation. The new agentic workflow in Plotly Studio is here, and it changes how you work with data.
Plotly Studio's new agentic workflow is an AI-powered environment where you can explore data, answer questions, and build shareable apps using a single universal chat interface. The agent works autonomously, writing and executing Python code behind the scenes so you stay focused on the analysis.
More flexibility. More power.
The classic Studio workflow is great for building BI dashboards, but the agentic workflow goes beyond. Now you can run ad-hoc queries, produce executive-level reports, and develop fully interactive Dash-powered data apps in a single, seamless session.
The agent can traverse your data source freely, enriching its own context across many steps to answer broad or ambiguous questions. Apps can pull from multiple queries and even disparate data sources. Tab layouts, custom styling, and interactive controls are all on the table.
Agentic workflow overview
Upload files or connect data sources. Drop in a file or connect to an external data source to get started. The agent reads, queries, and surfaces insights automatically.
Ask questions in plain language. Start a chat session and dig into your data. Ask follow-up questions without ever leaving the conversation.
Visualizations and tables are front and center. Request a Plotly chart or table and the agent writes, runs, and returns the result in a first class display.
Analysis summaries included. Every result comes with written findings and suggestions on where to take the analysis next.
Build reports and interactive data apps. Turn your session into a polished report or a fully interactive Dash app with live charts and user controls.
Publish to Plotly Cloud or Dash Enterprise. The streamlined publishing workflow you know is still here. Share your app with your team in seconds.
Agentic analytics: the next frontier
The goal for Plotly Studio has always been to be the best AI-driven tool for working with data. The agentic workflow pairs a conversational interface for casual users with deep customization for power users, bridging the gap between automated insights and bespoke data application development.
The agentic workflow is currently in Beta. Try it in Plotly Studio today and let us know what you think. Your feedback shapes what comes next.
Full documentation can be found at docs.plotly.com/studio/agentic, including a Prompting Guide to get the most out of the agent.
May 8th, 2026
Plotly Studio
Fixes
Authentication Reliability: We resolved an issue where the login process occasionally required a second attempt, and we’ve made the login flow a more responsive and smoother process.
Model Response Stability: We corrected an issue for Enterprise plan users where certain high-capacity language models would return empty responses. By adjusting minimum token limits, the system now ensures consistent output generation across all supported models.
April 22nd, 2026
Plotly Studio
Improvements
Enhanced Response Streaming (Dash Enterprise)
We have updated the Dash Enterprise LLM connection to support response streaming. This improvement provides a more responsive experience and reduces the likelihood of gateway timeout errors, particularly for enterprise environments with strict network configurations.
Runtime Performance And Connectivity
The internal runtime has been updated to improve task scheduling and network error handling. These technical updates ensure more reliable background processing and better stability when managing complex network requests.
April 20th, 2026
Plotly Studio
Fixes
macOS Dock Bug
An issue has been resolved where temporary browser processes would cause the Chrome application icon to appear unexpectedly in the macOS dock. This occurred primarily during the background generation of visualization thumbnails and has been corrected to ensure a cleaner desktop experience.
April 9th, 2026
Plotly Studio
User Controlled App Updates
To prevent workflow interruptions, we have modified how application updates are handled. Instead of mandatory updates during startup, a new notification modal allows you to choose between installing the update immediately or scheduling it for the next time you launch the application.
Enhanced Publish Status
The data app publishing process now provides more transparency and control. The Publish button has been updated to include a dropdown menu for clearer navigation. Additionally, the button now displays real-time status updates, including Uploading, Building, and Published, so you can track the progress of your deployment without guesswork.
Fixes
Preview System Stability
Resolved an issue where data view previews would occasionally fail to load after a user had viewed an app preview.
Implemented a cache clearing mechanism to ensure that data previews render correctly and reflect the most recent changes.
Dependency Maintenance
Updated several core backend packages and script libraries, including Numpy and Pandas, to improve general system performance and security.
April 6th, 2026
Plotly Studio
Improvements
Faster Application Launch: Optimized the startup process to ensure the application opens quickly, even for users with a high volume of saved projects.
Better Error Links: Replaced broken "Learn More" links in error messages with functional "Report Issue" links that direct to our feedback portal.
Data Loading Performance: Improved data caching mechanisms to ensure consistent data loading performance.
Reduced File Handle Usage: Improved database connection management to prevent "too many open files" errors on macOS.
Project List Refresh: Resolved an issue where the project list would timeout or fail to refresh after the application had been idle for an extended period.
April 2nd, 2026
Plotly Studio
Improvements
Enhanced app preview system: The preview system has been updated to provide a more responsive user experience and a more reliable workflow when restarting previews.
Project deletion indicator: A spinning indicator has been added to the project deletion process. This ensures users have clear visual confirmation that the removal operation is in progress.
Bug Fixes
Python dependency security updates: The Python requests library has been updated to version 2.33.0 to address a security vulnerability (CVE-2026-25645).
Explore mode performance: Resolved performance degradation when rendering complex visualizations in Explore mode.
Windows reliability: Windows Corrected an issue where certain Windows security configurations prevented the backend service from launching.
April 1st, 2026
Plotly Studio
Improvements
AI Processing Reliability
A new automatic retry system has been implemented to manage temporary service interruptions. This background logic ensures that application generation remains consistent and successful even during periods of high service demand.
March 27th, 2026
Plotly Studio
Improvements
Reliable AI Generation
Plotly Studio now has automatic retry logic with intelligent back-off timing. This ensures that app generation remains consistent and successful even during periods of high service demand or temporary interruptions.
Build Stability
General improvements have been made to ensure a more stable environment and eliminate unnecessary system warnings.
March 25th, 2026
Improvements
Enhanced Windows Startup Reliability
We have implemented automatic detection and repair protocols for startup failures on Windows. The system now identifies and fixes corrupted environment dependencies and handles Application Control issues automatically, ensuring a more consistent launch experience.
Actionable Error Reporting
Error messages for critical startup failures have been rewritten to provide clear, actionable information, making it easier to resolve local environment issues.
Dependency Recovery
Fixed a bug where corrupted Python dependencies would cause a permanent failure at launch. The application now attempts to recover the environment automatically to prevent persistent crashes.