Introducing Dash MCP + Building Dash Apps with Coding Agents. Reserve your spot.

Plotly builds data visualization tools and platforms

for analysts, engineers, scientists

and coding agents you work with

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Trusted by the world's largest organizations

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Graphs

Plotly: the beautiful, interactive open-source graphing library at the heart of everything we build.

Support for Python and Javascript.  70+ chart types, browser-based and interactive, native publication quality and export to SVG or PNG.

Open source and stable for over a decade.

Explore the graphing libraries →

Apps

Dash the easiest and most capable Python framework for data apps, analytical web apps and dashboards.

Open source for nearly a decade, with over 9M+ monthly downloads. Dash is the easiest, fastest way to get data on a web page and share it with your team.



And with coding agents, it's never been easier to build.

Learn about Dash →

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Agentic Analytics

Plotly Studio: The desktop app for data analytics in the LLM era.

Studio is our AI-native data analytics application for professionals. It doesn't overstep, raises questions when faced with ambiguity, creates beautiful Plotly graphs and Dash apps, and backs every step with code that you can verify.

Learn about Plotly Studio →

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Cloud Platform

Plotly Cloud: the easiest way to publish and manage Dash and Plotly Studio apps.

Share with teammates and stakeholders. Built-in login screens and authentication. Simple pricing. Deploy with drag-and-drop or the CLI — no infrastructure to stand up.

Explore Plotly Cloud →

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Self-Hosted Platform

Dash Enterprise: the best platform for managing Dash and Studio apps behind your firewall.

Self-hosted and deeply integrated in your infrastructure, so no data leaves your network. Easy for users and agents to build, deploy, manage, and share every data app. Plus, Enterprise Extensions that take Dash beyond open source.

Explore Dash Enterprise →

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User Stories

“We actually use Dash Enterprise for scientific software development. We don't have a full-stack team with front-end and back-end engineers, but Dash is flexible enough to allow us to still customize our solutions. You can actually create a tool for image processing, that's not just a dashboard.”

Aakash Varambhia

Johnson Matthey

Johnson Matthey

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"Dash Enterprise’s integration with best practice open source techniques enables the Data Science & Operational Research team to expedite our deployment of advanced bespoke Data Science applications to NHS staff.

Andy Mayne

Chief Analytical Scientist, Somerset NHS Foundation Trust

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“In an external application going to clients, everything from the engineering, to the models, to the UI, to performance testing requires a lot of effort and building. Dash Enterprise effectively allows us to accelerate the process.”
Onik Kurktchian

Head of S&P Global Marketplace Workbench

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“Dash has been a valuable outlet to make the best use of people’s skills and creativity. It allows people to very quickly turn an idea into a useful tool that can be used by the rest of the team.”

Gareth Stoyle

CIBC

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"Time-to-market is crucial in our ever-changing market environment. With help of Dash Enterprise, we were able to accelerate deployment of new apps from weeks to minutes without compromising on governance aspects and security."
Volodymyr Sorokoumov

Digital Trading - Lead Platform Design

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"Dash Enterprise marries the strengths of many tools into one — design beautiful dashboards and apply statistical algorithms behind the scenes. Adopting Dash Enterprise allows us to create tools and services that everyone at the company can leverage without the typical development cycle."

Russ Zaliznyak

Principal Data Scientist and Experimentation Team Lead, Intuit

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Our customers' apps drive operations across finance, science and engineering, energy and utilities, life sciences, and more.

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Finance

Real-time dashboards, risk models, and portfolio reporting built on live data

Drillhole Visualizer app
Energy & Utilities

Grid monitoring dashboards, sensor data visualization, and operational forecasting

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Manufacturing

Production line analytics, quality control reporting, and predictive maintenance

Life Sciences

Clinical trial visualization, drug discovery workflows, and regulatory reporting

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Science & Engineering

Semantic document search, research Q&A, and PDF knowledge extraction

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Geospatial

Interactive maps, trip density visualization, and location analytics at scale

Our customers' apps drive operations across finance, science and engineering, energy and utilities, life sciences, and more.

Built for the data stack you already have

Build on open source

plotly.py, plotly.js, and Dash are MIT-licensed and used by millions of data analysts and engineers. After a decade of stable APIs and exhaustive docs, they're some of the most battle-tested libraries in the data world.

View the documentation →

Coding-agent friendly

LLMs are putting app-building in more hands than ever — internal tools, quick tweaks, one-off analyses. Every coding agent worth using, from Claude to Codex, works exceptionally well with Plotly's open source.

Set up Dash with coding agents →

Data connections

Python connectors for Snowflake, Databricks, BigQuery, and Postgres. Anything you can reach from Python — pandas, Polars, SQLAlchemy, Arrow — Dash and Studio can render.

Learn about data connections→

Enterprise grade

Plotly Cloud and Dash Enterprise are highly secure supporting SOC2, SSO/SAML. Plotly Cloud offers a ready-to-go SaaS platform, Dash Enterprise is an on-prem, Kubernetes, scalable platform trusted by global banks, utilities and national labs.

Access the Trust Center →

Plotly 6.8.0 adds an optional font parameter for make_subplots

June 3, 2026

Dash 4.2.0 introduces webSockets and running Dash apps on FastAPI or Quart

June 1, 2026

Plotly.js 3.5.0 adds an update to USA location lookup for scattergeo and choropleth

April 3, 2026

Dash Enterprise 6.0: Production-Ready Data Apps at Enterprise Scale

February 23, 2026

Talk to the team who has spent over 10 years building data visualization tools and platforms for millions of data scientists and analysts worldwide

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