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

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

Particle-1, a startup's fine-tune of DeepSeek V4.1 Flash, scored 40 of 43 on our data analytics exam for $0.35, four more than its base model, and joined the cost-accuracy frontier.

Particle-1 Benchmark Results for Data Analysis

Explore AI data applications, how they combine data, models, and interactive interfaces, and how Plotly helps teams build and deploy them.

AI Data Applications: What They Are, How They Work, and Why They Matter

Cohere's open-weight Command A+ scored 18 of 43 on our data analytics exam for $19.47. Where it did well, where it fell short, and why cheap tokens added up to an expensive run.

Cohere Command A+ Benchmark Results for Data Analysis

Dash 4.5 adds streaming callbacks that send results to the browser as they run, opt-in shared storage across worker processes, partial pattern matching, and more.

Dash 4.5: Streaming Callbacks, Shared Storage, and more

Compare AI-native development with AI-assisted development. Learn how delegation, context, testing, and review shape the workflow for data teams.

AI-Native Development vs. AI-Assisted Development

Compare six Python dashboard frameworks by reactivity, visualization, AI workflows, and deployment, and see why Dash is built for analytical apps.

Python Dashboard Framework Comparison: 6 Options

Compare 7 Python data visualization libraries and tools by interactivity, AI workflow, deployment path, and developer experience

7 Python Data Visualization Libraries Compared

Compare 6 ML model deployment tools on serving, interactive UI, governance, deployment, and pricing, and see when Dash Enterprise is the strongest fit.

6 ML Model Deployment Tools with Interactive UI in 2027

Compare 7 Tableau alternatives for point-and-click BI, governed metrics, open-source analytics, and Python apps, including AI, deployment, and trade offs.

7 Best Tableau Alternatives Worth Switching to in 2027

Compare 7 Spotfire alternatives for BI, data science, industrial analytics, and Python apps, including key tradeoffs and migration considerations.

7 Best Spotfire Alternatives for Analytics

See the Dash apps Plotly Professional Services has shipped so far in 2026, from real-time well monitoring to self-serve analytics, plus lessons learned.

Plotly Professional Services: 2026 Dash Apps and Lessons

OpenAI's GPT-6.1 Terra scores 40/43 on PlotlyDataAnalyticsBench for $1.31, half the cost of GPT-6.1 Sol, with a 15-second median. Independent results on accuracy, cost and speed.

GPT-6.1 Terra Benchmark Results for Data Analysis

Compare Dash vs Grafana on Python workflows, AI, UI flexibility, maintenance, deployment, and cost. See why Dash fits Python analytics teams.

Dash vs Grafana: The Better Foundation for Python Analytics

Compare Dash vs Looker on Python workflows, AI, self-service, maintenance, deployment, and cost. See why Dash fits an analytics stack built in code.

Dash vs Looker: The Better Foundation for Python Data Teams

Run a small Hugging Face model on CPU for semantic search in a Dash app, keeping its embeddings on a Plotly Cloud or Dash Enterprise persistent filesystem.

How to Run Hugging Face Models in a Dash App Without a GPU

Moonshot's Kimi K3.1 Pro scores 42/43 on PlotlyDataAnalyticsBench, up from 35 for Kimi K3, and finds every hidden pattern. Independent results on accuracy, cost, speed and open weights.

Kimi K3.1 Pro Benchmark Results for Data Analysis

Put single sign-on in front of every Plotly Dash app with Dash Enterprise or Plotly Cloud. See which identity providers are supported, walk through setup step by step, and use your IdP's groups to control who sees what, without writing auth code.

How to Set Up SSO for Plotly Dash Apps (Okta, Entra ID, OneLogin and More)

Quack, VARIANT, NEAREST joins and faster S3 reads in DuckDB 2.0, tried out in six Dash demos on a billion rows of real data.

What's New in DuckDB 2.0, Tested on a Billion Rows

Speed and memory for DuckDB, Polars and pandas on 1.14 billion rows of weather data, plus what it means for Python Dash apps.

DuckDB 2.0 vs Polars 2.0 vs pandas 3.0: Benchmarks on a Billion Rows

See why dashboards are not enough for decisions that need custom Python logic, persistent state, approvals, and controlled action.

Why Dashboards Are Not Enough for Complex Decisions

Learn how agentic analytics runs multi-step investigations, where it helps, where it fails, and what to evaluate before trusting the result.

Agentic Analytics: How It Works and What to Evaluate

Plotly Cloud apps can now keep files across restarts and redeploys. Mount a filesystem, share it across apps, and pay only for what you store.

Persistent Filesystems in Plotly Cloud

Six Dash apps that keep files across deploys on Dash Enterprise and Plotly Cloud, with the prompts to build them and DuckDB and Polars benchmarks on every app size.

How to Use the Persistent Filesystem in Dash Apps (6 Examples)

Learn how LLM app development works in Python, from data access and model selection to Dash architecture, deployment, and production safeguards.

LLM App Development in Python: How to Build a Data App

Compare interactive apps, Python and AI integration, deployment, governance, and workflows that turn insights into action.

Dash vs Tableau: Why Teams Move Beyond Dashboards to Build Interactive Applications in 2027

Compare Dash’s code-based analytics with Power BI’s point-and-click interface across AI, self-service, maintenance, deployment, and security.

Dash vs Power BI in 2027: AI and Enterprise Analytics

Build internal apps in 2026 with AI coding agents: what to build, how to connect data and deploy securely, plus four example apps with prompts.

How to Build Internal Apps in 2026

Build an MCP server in Python with Dash. Five examples for analytics and internal data, with the prompts to build them, plus how to design and host tools.

5 MCP Server Examples You Can Build in Python

The mystery model Space Bunny Alpha was MiniMax all along. The released M3.1 Flash scores 41 of 43 on our data analytics exam, the best result we've seen from a Chinese lab, and finds all five hidden patterns.

MiniMax M3.1 Flash Benchmark Results for Data Analysis

Compare business intelligence vs data analytics, see where they overlap, and learn when a point-and-click BI platform or code-based data app fits.

Business Intelligence vs Data Analytics

Reflection's new open-weight Beam 1.0 scores 36 of 43 on our data analytics exam and catches every data quality problem we planted, but almost none of its input was cached, so the run cost $8.29.

Reflection Beam 1.0 Benchmark Results for Data Analysis

South Korea's Upstage makes two of the cheapest models per token on our leaderboard. On our data analytics exam they scored 27 and 21 of 43, and read millions of tokens per question.

Upstage Solar Pro 4 and Solar Mini 4 Benchmark Results for Data Analysis

Closed models still lead on our data analytics exam, and small ones are often cheaper. Here's what open models offer, from running on your own hardware to fine-tuning, and when owning the servers makes sense.

Open Models vs. Closed Models in 2026

76 years of San Francisco temperatures plotted 13 ways, from a default line chart to calendars, heatmaps, a Joy Division ridgeline and a census-style table, with the prompt to build each one in Plotly.

13 Ways to Visualize Time Series Data

Learn how averages, weak comparisons, misleading scales, color, and hidden filters can distort dashboard decisions, and how to design clearer data apps.

Dashboard Design Mistakes That Mislead Decision Makers

AI data visualization can suggest charts, query data in plain language, and build full apps. See how execution determines how far it can go.

How AI is Changing Data Visualization

Meta's Muse Spark Open scores a B+ on our data analytics exam, tied for the best open-weight result we've measured, and you can run it on your own Mac Studios. Here's what it gets right, and where it still slips.

Meta Muse Spark Open - A First Look

NVIDIA's Nemotron 3.5 Super VL is the fastest model on our leaderboard, comes close to Nemotron 3 Ultra at a fifteenth of the cost, and fits on a single desktop. Here's what it gets right, and where it still slips.

NVIDIA Nemotron 3.5 Super VL Benchmark Results for Data Analysis

Compare 10 AI data analytics tools by AI capabilities, code visibility, deployment, and pricing. Assess the tradeoffs for your team's workflows.

10 AI Data Analytics Tools Compared: Features and Pricing

A new benchmark from Plotly that measures AI's ability to do data analytics, built with researchers at Mila. Here's how it works and what we've learned testing 26 models.

Introducing DataAnalyticsBench

Discover Dash Enterprise 6.3.0, featuring MCP support for AI agents, durable app operations, and ARM64 compatibility for flexible, reliable enterprise deployment.

Dash Enterprise 6.3.0

Google's Gemini 4 Argon ties Claude Opus 5.5 and Muse Wonder on our data analytics exam, and found all five patterns we hid in the data. Here's what it gets right, and where it still slips.

Gemini 4 Argon Benchmark Results for Data Analysis

Meta's Muse Wonder ties Claude Opus 5.5 on our data analytics exam, and answers three times faster than Muse Spark 1.3. Here's what it gets right, and where it still slips.

Muse Wonder Benchmark Results for Data Analysis

Explore six practical workflows for data analysts, including AI agents for business workflow automation, and learn which AI productivity tools updates matter.

6 AI Workflows Every Data Analyst Should Know

DeepSeek V4.1 Flash costs a fraction of the frontier models. On our data analytics exam, small models from OpenAI and Anthropic match its accuracy for less money and in less time.

DeepSeek V4.1 Flash for Data Analysis: A Review

Compare five interactive dashboard tools, including dashboard libraries for Python, Python dashboard tools, BI platforms, AI Capabilities, and monitoring software.

5 Best Interactive Dashboard Tools for 2027

Compare Dash vs Streamlit on performance, AI features, UI flexibility, deployment, and cost to choose the right Python framework for production data apps.

Dash vs Streamlit: Performance, AI, and Deployment

See how the AI analytics workflow is changing as teams accelerate creation, strengthen verification, govern data apps, and assess portability.

The Future of Analytics in the AI Era: What’s Changing in the Workflow

Claude Haiku 5.5 is almost 9x cheaper and two letter grades better than Haiku 4.5 on our data analytics exam, and the fastest model on our leaderboard. Here's what it gets right, and where it still slips.

Claude Haiku 5.5 Benchmark Results for Data Analysis

Mistral Large 4 is 10x cheaper and two letter grades better than Mistral Medium 3.5 on our data analytics exam. Here's what it gets right, and where it still slips.

Mistral Large 4 Benchmark Results for Data Analysis

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.

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