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Persistent Files System in Dash Enterprise

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Plotly Studio and Cloud are now generally available. Create production-ready data apps and dashboards with agentic AI and publish instantly for secure sharing.

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Modern, Shareable AI Analytics with Plotly Studio and Cloud

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Chris Parmer shares how Plotly Studio uses AI to generate data apps, the performance and design philosophy behind the product, and why building the right defaults matters for real-world analytics.

Announcing Plotly Cloud: a drag-and-drop way to publish, manage, and share Dash and Plotly Studio apps with your team or the world.

Plotly Cloud: The Best Way to Publish Your Dash Apps

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People in Focus: Unveiling Opportunities as a Senior Software Engineer in App Studio

Plotly offers many chart types for visualizing ranges of data, including violin and box plots. Learn how you can construct a range chart.

Plotly Studio early access is now open to all applicants. See what users are building, explore new platform updates, and get a preview of what’s next for AI-native data apps.

Plotly Studio Early Access: The Wait(list) is Over!

Plotly.js v3.1.0 introduces new maps based on UN geodata, replacing Natural Earth to better represent disputed and unclaimed territories.

Improved Map Accuracy in plotly.js with UN Geodata

Learn the basics of AI in data science workflows to speed up and generate Python code, automate data cleaning, and build production data apps.

Practical Guide to Using AI in Data Science Workflows

These five highlights from “Spreadsheet to Spectacular” show how fast you can build interactive data apps with just a spreadsheet and agentic AI.

5 Highlights from Spreadsheet to Spectacular

Explore when data scientists should make recommendations, when they shouldn’t, and why clarity, context, and well-built data apps often matter more than conclusions.

The Relationship Between Data Science and Decision Making

By leveraging these best practices and the provided code, you can harness the power of Sankey Diagrams to gain insights from data. Learn more in this Plotly article.

Designed specifically for the AI era, Dash Enterprise 5.7 enables organizations to build smarter, safer data applications with efficiency.

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Explore how agentic analytics uses AI agents to monitor KPIs, generate insights, and trigger actions autonomously in modern data workflows.

Learn about the uv package manager, its definition and benefits, and how to approach issues and quirks in your Python workflows when using this tool.

uv Python Package Manager Quirks a Year Into Adoption

Understand the differences between BI and AI in analytics. See how the limitations of traditional BI tools can be overcome with AI and data apps.

AI vs BI in Analytics: What’s the Difference?

Modern data science teams trade static reports for interactive, collaborative, and highly custom data applications, commonly known as data apps.

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Cutting Render Times in Half: Inside Plotly’s Latest Performance Update

We’ve launched an initiative to celebrate Plotly Champions as stalwarts of the 25,000+ strong Plotly Community. Celebrate this launch with us.

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The latest release of Dash includes a new hooks system, an easy way to tell Dash to run functions at a certain point in a dashboard's lifecycle.

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Reflections from an Athlete — Dash feat. Strava

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Read all about the latest iteration of our keystone offering, Dash Enterprise 5.6, as well as the hefty updates to our open source libraries.

Dash Enterprise 5.6 Release: Build Data Apps Smarter With Plotly AI

Enjoy a recap of the brightest moments and our hopes for the future of data science as we head into the holidays. Happy holidays from your friend, the Plotly peregrine.

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