Plotly is based on Tioh’tia:ke, commonly known in English as Montreal Island, in Kanien’ke-há:ka, the “Place of the People of the Flint” (the Kanien’kéha).

Plotly is committed to making the tech industry more accessible to people from different cultures, as well as using and encouraging the use of our technology for anti-racist efforts. For our complete land acknowledgement and resources to learn about settlement and contribute to Indigenous activism, visit our About Us page.

Plotly Europe Ltd is registered in England and Wales and is a wholly owned subsidiary of Plotly Technologies Inc. Registered company number 13807119. VAT number 439 0816 82. The Registered address is 10 John Street, London WC1N 2EB.

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AI-native analytics for agentic data analysis

Build interactive analytics apps in Python

Create interactive charts in Python and JavaScript

Publish Dash and Studio apps for individuals and across teams

Platform for Dash, Studio, and other data apps inside your organization's infrastructure

Learn how Python for business analytics is effectively used, and how teams turn Python analysis into automated workflows and interactive data apps.

Python for Business Analytics: The Modern Data Language

Plotly Cloud's Claude connector is now available. Develop and deploy data apps with Claude.ai, start and stop applications, and retrieve logs to fix bugs and deployment issues.

Build & Deploy Apps on Plotly Cloud with Claude

Learn how app analytics can help you determine which apps need more resources, and which apps are providing the most value to your organization.

App Analytics Launches in Plotly Cloud

Compare interactive dashboards vs static reports and learn how data storytelling techniques turn business data into clearer, faster decisions.

Interactive Dashboards vs Static Reports: When to Use Each

Discover how AI in data analytics is changing the analyst's role, the skills that matter most, and the future of data analysts in an AI-driven world.

AI Can Write SQL. So, Why Are Companies Still Hiring Data Analysts?

We've been on a tear! The world is switching to code-based analytics and internal apps with the rise of AI, and Plotly's been at the heart of it. Here are 12 highlights of what we shipped over the last 12 months. Buckle up!

12 Months in Review

Plotly.js 4.0 and Plotly.py 7.0 are out! New chart types, many fixes, and some clean up of some old deprecated functions. Check out the full release notes here.

Announcing Plotly.js 4.0 and Plotly.py 7.0

Learn how Plotly Studio Projects organize data connections, charts, tables, reports, and Dash apps in one persistent workspace for data analysis.

Plotly Studio Projects: A Unified Session Workspace

Dash 4.3 exposes callbacks and Python functions as MCP tools. How we shaped our messaging framework into tools, structured the content, and deployed it.

How We Built an AI-Powered Messaging Framework App Using Dash MCP

Add AI-powered chat to your Dash apps with Plotly Studio Embedded. Let users explore data, ask questions, and generate insights in natural language.

Introducing Plotly Studio Embedded

Dash apps cost roughly 33% less in tokens than full-stack apps when built with Claude. See the benchmark data and learn when full stack still makes sense.

Part 3: Cost Comparison | Dash vs. Full Stack in the AI Era

Vibe-coded apps look fine on day one. Part 2 covers the dependency risks, bus factor, and support gaps that surface later.

Part 2: Hidden Supply-Chain Risk | Dash vs. Full Stack in the AI Era

When Al writes your data app, the framework you name still matters. Part 1 explains why Dash beats full stack on architecture, sync, and state.

Part 1: The Architecture Case | Dash vs. Full Stack in the Al Era

Plotly's Dash documentation now includes embedded DevRel videos on every page — technical walkthroughs pairing spoken, example-driven explanations with the written docs you already use.

Introducing Developer Relations Videos in the Dash Docs

Vanity URLs are now free on every Plotly Cloud plan, and Pro teams can serve Dash apps on custom domains they own, with wildcard subdomains and HTTPS included.

Your Apps, Your URLs: Custom Domains Come to Plotly Cloud

Learn how to build a basic map routing service from scratch, using Dash, and publish it on Plotly Cloud.

Dash Navigation: 1500 lines

How to build an MCP server with Plotly Dash to connect your product messaging framework to Claude Desktop, giving everyone instant access to expert-level answers.

We Put Our Product Marketing Brain into an MCP Server with Dash and Plotly Cloud

How to use Polars Cloud and Plotly to host and distribute a Dash app on Plotly Cloud, which explores 16 billion rows of Polymarket data.

Serving a Month of Polymarket Data: Scaling, Metering, and MCP on Plotly Cloud

Control your Dash app hosting costs with Plotly Cloud's new Compute tab. Choose Automatic Sleep or Always Awake mode and scale from 0.5 to 8 vCPU.

Compute Modes & App Sizing for Dash Apps

Dash Enterprise 6.2.0 halves the platform's resource footprint, makes every CPU and memory limit configurable, and adds durable backup/restore plus hardening.

Dash Enterprise 6.2.0: Efficiency, Reliability, Security

With one argument, your Dash app becomes an MCP server that any agent can call.

Dash MCP: Turn Your Dash App Into a Tool for AI Agents

The Dash documentation now exposes a Model Context Protocol (MCP) server, so your agent reads the latest documentation every time.

Connect to the Dash Documentation from your AI Agent

How to optimize your development environment and strategy to build high-quality Dash applications using the latest agentic workflows.

Building Dash Apps with AI Coding Agents

Learn to use FastAPI or Quart backend with Dash 4.2 instead of the traditional Flask backend.

Dash 4.2: Choose Your Backend — FastAPI and Quart Support

How to stream live data in Dash apps with the new WebSocket Callbacks.

Dash 4.2: WebSocket Callbacks Added to Core

Plotly Studio's agentic analytics workflow is now available. Ask a question, get a live chart, report, or Dash app, all in a single session connected to your data.

Plotly Studio: The Agentic Workflow Where Your Data Is Front and Center

Getting the interactive details right to deliver important insights, help users find the results they care about, and understand the details.

Standing on Many Shoulders to Design Effective Interactive Graphics

No budget? No data server? Non-technical colleagues? No problem!

Publishing Analytic Results in Plotly at Resource-Constrained Organizations

From shiny new components to smarter defaults, our latest updates to Dash Design Kit make your apps look polished without the CSS headaches.

Updates to Dash Design Kit for Good-Looking Data Apps

Pre-compute expensive queries on a schedule and serve cached results instantly to every user with Dash Enterprise's @schedule decorator.

Pre-Compute Once, Serve Instantly with Dash Enterprise @schedule Decorator

Learn how to embed Plotly Dash apps in Salesforce, portals, and more with one codebase. Handles authentication and cross-domain integration.

Plotly Dash Embedded: Build Data Apps, Deploy Anywhere

Data context determines whether AI analytics work on your real data. Learn the four types of context for LLMs and when to use each one for reliable analysis.

A Guide to Data Context in the Age of AI

Learn why hosting and publishing your Dash apps with Plotly Cloud is easier, faster, and better than other hosting options for web-based analytics.

The Best Way to Publish and Host Your Plotly Dash Apps in 2026

Plotly.js now has multi-axis shapes and plot-wide hover/click events. These charting features are ideal for drilling and subsurface analytics dashboards.

Two New Plotly.js Features That Change How You Build Multi-Panel Charts

Plotly Cloud adds team collaboration features for sharing Dash analytics apps across organizations with role-based permissions, centralized access, and real-time updates.

A New Era for Collaborative Analytics

A guide to enterprise features in Plotly Cloud for publishing Dash apps at scale, including SSO, SCIM provisioning, advanced deployment capabilities, and private LLM integration.

Publishing Dash Apps Across Your Enterprise With Plotly Cloud

We’ve rebuilt Dash Core Components from scratch. Explore Dash 4’s new in-house design, featuring superior accessibility and refined interaction patterns.

Dash Core Components Gets a Design-Driven Refresh with Dash 4

Legacy BI tools promise AI but can't get you to production. AI-native data analytics in Plotly Studio generates code-backed apps you can trust. Here's how.

The New Plotly Studio: AI-Native Analytics Built for Production

Plotly Studio connects directly to any data source by dynamically AI-generating code to authenticate, retrieve, and transform data for visualization.

Plotly Studio Data Sources: Connect to Anything

Plotly has been awarded certification status for ISO 27001 (Information Security), ISO 27701 (Privacy), and ISO 42001 (Artificial Intelligence).

Plotly Achieves "Triple Crown" ISO Certification for Security, Privacy, and AI Governance

Learn how to apply advanced data science techniques to credit card data, from customer segmentation to risk modeling, using Plotly Studio without writing code.

9 Advanced Data Science Techniques with One Financial Dataset

Plotly Studio's Explore mode generates advanced data analysis and computational tools tailored to your dataset. Download the latest release today.

Create Advanced Data Analysis and Computational Tools With Explore Mode in Plotly Studio

Learn about specification-based development for analytics in Plotly Studio. Use the Spec file to verify and refine AI-generated data analysis code.

Simple, Spec-Based Development for Analytics With Plotly Studio

Major Plotly Studio improvements: faster generation, enhanced Dark Mode, smarter components, and improved reliability across platforms.

Plotly Studio: Major Speed and UX Upgrade

Learn about the Plotly Dash 3.3.0 release, featuring Plotly Cloud integration, enhanced developer tools, and critical monitoring capabilities.

What's New in Dash 3.3.0: Plotly Cloud, customizable developer tools, and more

How we built a benchmark system to test AI-generated data apps at scale, with 100% success through parallel processing and automated browser tests.

Chasing Nines on AI Reliability Benchmarks

Lessons from integrating designers using LLMs into our codebase, where it works for UI changes, where it fails, and the guardrails we set.

What I Learned Integrating Designers Wielding LLMs into Our Codebase

Celebrate the winners of the Plotly Analytics Vibe-a-Thon. Over 1,500 participants built data apps using Plotly Studio's vibe analytics approach.

Three Data Apps That Won the Plotly Analytics Vibe-A-Thon

Plotly Studio's September updates bring project export, faster previews, and better error handling. Build great data apps with more control and confidence.

What’s new, Plotly Studio? Project Export, Speed, and Reliability

Read the recap of Plotly's time at Data Science Connect Collide 2025, where we showed how vibe analytics turns data into insights in minutes.

Plotly at Data Science Connect Collide 2025

Plotly engineering manager Robert Claus shares lessons on building modern data apps, tool tradeoffs, and the future of AI analytics.

Building Data Applications the Modern Way

Researchers and industry experts discuss vibe analytics, and we showcase how Plotly Studio can transform data into interactive apps in minutes.

Highlights From the Rise of Vibe Analytics

Plotly Cloud eliminates publishing friction for Dash apps. Drag-and-drop publishing takes your interactive data apps from localhost to live URL.

Code to Crowd in Seconds: Modernizing How Dash Apps Get Published

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

The Vibe Analytics Revolution: Plotly Studio and Cloud Now GA

Learn how Plotly Studio and Plotly Cloud make it simple to create, publish, and share interactive data apps using AI and modern workflows.

Modern, Shareable AI Analytics with Plotly Studio and Cloud

With AI-assisted coding, Plotly designers build beyond Figma mockups, coding real prototypes directly in code and working alongside engineers.

How Plotly Designers Build Beyond Figma Mockups With AI

Vibe coding breaks under pressure. True value lies in vibe analytics, a better way to build real analytics apps using prompts, structure, and shareable code.

What Vibe Coding Gets Wrong (and Why Vibe Analytics is Better)

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

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

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!

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

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.

Inside Plotly Studio: London Edition

What you missed at Plotly’s “Let Your Data Vibe” webinar: instant Dash apps with AI, one-click cloud deployment, and a new way to build with data.

5 Highlights from Let Your Data Vibe

At the 2025 Data + AI Summit, one trend was clear: data teams are shifting towards interactive, agentic analytics. Here's how Plotly is leading that shift.

2025 Data + AI Summit: Plotly Recap and Reflections

Plotly's People Operations team sheds light on how Plotly is multiplying and democratizing the use of AI into every part of how we work.

How Plotly is Leading with AI, and Keeping People at the Center

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

Secure OAuth in Dash apps. Learn how Dash Enterprise supports pass-through authentication to APIs like Databricks, BigQuery, and more.

OAuth for Dash Enterprise: Sophisticated Data Security for Plotly Dash Apps

Chris Parmer, Plotly co-founder and author of Dash, announces the launch of Plotly Studio, an AI-native desktop app for generating data apps and visualizing data.

Introducing Plotly Studio

Celia Lopez, Customer Success Engineer at Plotly, shares her toolkit and practical examples for building reliable data apps with logging and Dev Tools for debugging within Dash and the browser.

Why Logs and Dev Tools Are the Key to Reliable Dash Apps

Learn about the flow of data used by AI from training to deployment, including real-time, contextual, and user data that powers modern AI applications.

How Data Powers AI from Training to Real-World Applications

The limitations of traditional BI tools make it hard to meet modern analytics needs. Learn how AI and data apps offer a more dynamic alternative.

Shatter Business Intelligence Limitations with Data Apps in the AI Era

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

An Introduction to Agentic Analytics

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?

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 Package Manager Quirks a Year Into Adoption

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

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

Elevate Your Analytics: Plotly Dash Enterprise 5.7 Launch

Learn how to maximize data science ROI with AI. See how real teams use AI to reduce costs, speed up development, and turn data into measurable value.

How To Effectively Maximize Data Science ROI With AI

Find the best Streamlit alternatives to build production-grade data apps in 2025 with this expert guide backed by data science community feedback.

Best Streamlit Alternatives for Production-Grade Data Apps in 2025

Follow Mingo's step-by-step guide to build Python data apps with AI that easily transforms your data into interactive, real-time insights.

How to Build Real-Time Python Data Apps With AI

Plotly's VP of Markting, Domenic Ravita, explains how Plotly AI is a set of AI-enabled capabilities helping data teams analyze data faster and create production-quality, interactive Python data apps with Plotly.

What is Plotly AI?

Read how Plotly's Dash Enterprise Onboarding Team transforms beginners into Dash app pros. Learn deployment, authentication, and data workflow tips!

Onboarding to Dash Enterprise: Where Cutting-Edge Data Applications Meet Hospitality

Read how team Plotly builds internal customer success data apps and automation with Dash Enterprise to better serve customers with efficiency.

How Plotly's Customer Success Team Uses Dash Enterprise to Improve Efficiency

Read how engineers analyze data, detect defects, and optimize production for semiconductors in the automotive industry, with Mike Purtell.

Behind the Scenes of Semiconductor Testing and Data Visualization

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

A Tribute to the Plotly Community Champions

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.

A New Hooks System for Dash

Learn how typed array support in Plotly.js makes it easier to move data into the Plotly renderer with faster serialization and better compute and memory performance.

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

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.

Holidays treats, presents, and wishes from the Plotly peregrine!

Read the first edition of our blog series on debugging for Dash data app development. Learn tips and tricks to investigate issues and resolve them.

How to Future-Proof Your Data Apps With Structured Debugging

Learn how the latest Plotly charting libraries release supports anywidget, for Dash developers to create interactive plugins and patterns in Python notebooks.

From Widgets to Extensions: A Plotly Refresh for Notebook Users

Learn how you can boost Dash data app performance with the new Plotly.py collaboration with Narwhals, a dataframe compatibility layer.

Chart Smarter, Not Harder: Plotly Now Offers Universal DataFrame Support

Plotly's open-source libraries get major releases for faster data apps with Narwhals, a new Dash hooks system, a new design for Kaleido, and more.

Major Releases of Plotly and Dash: Narwhals, Dash Hooks, and More

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

Range Charts in Plotly

Genome data encodes life and drives bioinformatics challenges. Learn how cogent3 and Plotly help accelerate decoding genetic variants and their implications.

Decoding genomes with cogent3 + Plotly

Generate static images from interactive Plotly charts for your slideshow, report, academic journal, or thesis with the next generation of Kaleido.

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