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.

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Uniper develops trading decision-support tools and advanced analytics data apps in a collaborative Azure Databricks notebook environment.

Dash Enterprise Scales Uniper’s Energy Trading Analytics

Dash Enterprise enables Singapore Institute for Clinical Sciences (SICS) to deploy data catalogs, analytics, and published research.

Research Institute Visualizes Health Data Through Interactive Platform

Python and Dash Enterprise empower a leading global financial technology platform to standardize experiments.

Intuit Leverages Dash Enterprise to Reduce Experiment Runtime by 50%

Co-written by Plotly Community Manager, Adam Schroeder, this book will teach you how to create and use the essential components of an interactive data app, including the dropdown, radio button, slider, and more.

Build Data Apps with Python and Plotly

Equinor’s subsurface team chose Dash to meet their analysis needs across 15 oil fields and on the Norwegian Continental Shelf.

Equinor Develops Visualization Platform Utilizing Dash

The Super Bowl champions use Dash Enterprise to accelerate Business and Operations. With more visibility into real-time data, the organization is able to saves 32 person-hours each week.

Kansas City Chiefs Champion Digital Transformation

Berkeley Lab builds a suite of open-source tools with Python and Dash that is accelerating materials science research and reaching 200,000 users worldwide.

Major U.S. Research Laboratory Powers Worldwide Materials Research with Dash and Python

NREL uses Dash to identify more efficient and cost-effective wind power opportunities, resulting in a 2.5% increase in annual energy production.

NREL Mobilizes Dash for Wind Turbine Wake Research

Pricelabs uses Python and Dash to provide property managers with a robust, tailored platform that helps maximize revenue, prospect future markets, and monitor property performance.

PriceLabs Leverages Dash for Vacation Property Management Analytics

The largest independent European asset management firm uses Dash for proactive analytics and real-time visibility, increasing client’s AEP (Annual Energy Production) by up to two percent.

WPO Leads Renewable Energy Asset Management with Dash

Code templates for iconic JMP graphs with Plotly.

12 Common JMP Charts You Can Make in Python with Plotly for Free

A U.S. metropolitan transportation authority rapidly produces a ride-planning Dash app to assist passengers with disabilities on over 2,000 rides daily.

Denver Regional Transportation District Operationalizes Accessible Ride Logistics with Dash

When legacy software failed, Gamuda's R&D team relied on Dash to customize a solution to track and monitor the world’s first autonomous tunnel boring machine (A-TBM).

Gamuda Develops Tunnel Boring Machine IoT Solution with Dash

A billion dollar pharmaceutical company chose Dash for rapid tooling in its machine learning operations.

Dash Enterprise in the Fight Against Covid-19

A multi-departmental public utility organization moved from using open-source Dash to licensing Dash Enterprise, which supported their user growth and deployment.

Dash Enterprise for Public Utility Operations

Utah Jazz uses Dash Enterprise to produce understandable, explorable, and responsive analytics and enable operational/business decisions.

Dash Enterprise for Sports Analytics

Fortune 500 companies trust Dash Enterprise to deliver interactive Python analytics while saving 95% of the cost compared to full-stack development.

Dash Enterprise’s Incredible 21x Cost Savings

Best practice tips curated by Plotly’s Consulting & Training engineers to enhance your experience with Dash and close the gap between Data Science teams and the rest of your organization.

Top 10 Dash Enterprise Tips & Tricks

Since the start of COVID-19, a tidal wave of Dash apps globally have helped hospitals, governments, investors, and citizens respond to the outbreak.

18 Dash Apps Helping the HLS and Public Sectors Respond to COVID-19

After installing Dash Enterprise in one of the below environments, you will be asked for a license key to activate the software and begin deploying Dash apps.

Dash Enterprise Installation Guides

Compare Dash Enterprise, Tableau, Power BI, and Einstein Analytics as analytics platforms for data product delivery, deployment & DevOps, ease of use, design, data science integration, security, and support.

Dash Enterprise for Python vs Common BI Software

Compare low-code, UI layers for AI/ML models according to languages, architecture, deployment, UX, and more.

How do Dash, Shiny, Streamlit, and Bokeh compare as low-code, UI layers for AI and ML models?

Plotly is now SOC2 Type I and Type II compliant. Learn how this helps protect customer assets and data sources when using Plotly products.

Enhanced Security and Reliability: Plotly Is SOC 2 Type II Compliant

Learn strategies to effectively visualize geospatial datasets in data apps, specifically for vector, polygon data.

Performance Optimizations for Geospatial Dash Apps

In this blog post from Plotly's CPO and the Creator of Dash, Chris Parmer, learn how Partial Property Updates offers substantial data app performance improvements.

Partial Property Updates: Extending Full-Stack Development with Python

Python is one of the best tools for data scientists in analyzing & developing models. Here is a list of the top 15 python tools for data scientists.

Top 10 Python Libraries

Excel is a complicated tool with a lot of functions that aren’t always intuitive. We’ve got a few ways Python can improve Excel functions.

How Python Can Help with Excel

Generating Excel reports can be tedious & time-consuming, but there’s a solution. Automating your reports using Python.

Automate Excel Reports with Python

User Stories & White Papers

Plotly Professional Services are experts in delivering future-proof data apps. From custom development to workshops, they can support your analytics needs.

Consulting, Training & Open-Source Development

Access a curated selection of user stories, white papers, and how-to guides from data science experts and industry leaders. Start your data app journey today.

Combined with Python, Plotly Dash delivers interactive, customizable data apps. Explore examples in a wide range of industries and advanced analytic needs.

Have a question about Plotly or want to know how to get started with Dash? Share feedback in this form, and a member of the our team will get in touch soon.

Have a question about Plotly or want to know how to get started with Dash Enterprise? Fill out this form, and a member of the our team will get in touch soon.

Go from data exploration to actionable insight faster. Schedule a demo to learn how Dash Enterprise enables powerful, customizable, interactive data apps.

Compare the differences between Dash Open Source and Dash Enterprise. Start deploying unlimited Dash apps for unlimited end-users. Request a custom price-quote.

Plotly's company culture focuses on autonomy, trust, and data. Join the remote-first team pioneering analytic innovation and leading the data app industry.

Headquartered in Montreal with a remote-first team, Plotly is dedicated to ensuring that every organization uses Dash Enterprise to build data applications.

As a category-defining leader in enabling data-driven decisions, Plotly is frequently featured in the news. Explore recent articles, podcasts, and blog posts.

Dash is a framework for building data apps in Python. Dash Enterprise simplifies the development and deployment process in a secure, scalable environment.

Plotly: The front end for ML and data science models

Dash is the solution for operationalizing your AI/ML initiatives, with GPT-3, Hugging Face Transformers, UMAP, and YOLOv3. Check out latest Dash-AI projects.

Dash is the fastest way to deploy front-ends for ML backends such as PyTorch, Keras, and TensorFlow. To accelerate Dash Bio adoption among businesses, Dash Enterprise ships with dozens of Life Science templates that can be easily customized for your own data.

Learn how low-code UI layers like Dash, Shiny, Streamlit, and Bokeh compare in web protocol, architecture, user experience, licensing, deployment, and more.

How do Dash, Shiny, Streamlit, and Bokeh compare?

Compare Dash Enterprise, Tableau, Power BI, and Einstein Analytics. See the differences in deployment process, ease of use, security, support, and more.

Please see more details on Plotly's privacy policy, including information collected, security, retention, international visitors, and third-party services.

Plotly is the easiest way to graph and share your data.

Plotly Open Source Graphing Libraries |  | Plotly

Learn how Dash, Shiny, and Streamlit compare as low-code UI layers for data apps. See the differences in architecture, deployment, user experience, and more.

How do Dash, Shiny, and Streamlit compare?

Compare Dash Enterprise, RStudio Connect, Anaconda Enterprise, and Streamlit for Teams as deployment platforms. See differences in authentication and licensing.

How do Dash Enterprise, RStudio Connect, Anaconda Enterprise, and Streamlit for Teams compare?

Dash apps go where Tableau and PowerBI cannot... NLP, object detection, predictive analytics, and more. With 0.5M+ downloads/month, Dash is the new standard for AI &amp; data science apps.

Access a GUI for easy and secure authentication. With App Manager from Dash Enterprise, choose from LDAP, AD, PingFederate, Okta, SAML, SSO, and more.

Use Plotly's Dash web app framework and Databricks (DB SQL, Jobs API, databricks-dash) to create at-scale, interactive, customizable data apps.

Dash Enterprise supports turnkey connections to popular backends in Python – Vaex, Dask, Datashader, RAPIDS, Databricks (PySpark), Snowflake, and Postgres.

Python is one of the best tools for data scientists in analyzing & developing models. Here are some resources to help you say goodbye to Excel, and hello to Dash.

With Persistent Filesystems, simplify your data science workflow and avoid network delays. Large data can be uploaded, updated, and cached in Dash Enterprise.

Dash Enterprise installs via automated scripts. Get started with Dash Enterprise on Google Kubernetes Engine (GKE).

Learn how to adapt your Dash app with Dask to use Coiled in the back end. Using the integration can enable scaling across parallel computing clusters.

Connect Dash directly to Snowfake, a data warehouse offered by Amazon Web Services. Dash offers an ideal frontend to interact with real-time AI/ML processes.

Dash Enterprise installs via automated scripts. Get started with Dash Enterprise on Microsoft Azure Kubernetes Service (AKS).

Deploy, manage, and share data apps. | With the App Manager from Dash Enterprise, ensure a standard, well-documented, and reproducible workflow.

Dash Enterprise ships with turnkey support for horizontally scalable Dask clusters, putting Python's most popular HPC stack in the hands of business users.

Easily style and customize data apps with Design Kit, a low-code framework from Dash Enterprise. Production ready — no JavaScript, HTML, or CSS required.

Dash Enterprise installs via automated scripts. Get started with Dash Enterprise on Amazon Elastic Kubernetes Service (Amazon EKS).

The stateless design of Dash app servers enables horizontal scaling on modern infrastructure like Kubernetes with top clouds like AWS, Azure, and GCP.

Continuous integration (CI) and continuous deployment (CD) integrates naturally with Dash Enterprise's modern, git-based deployment workflow. Dash Enterprise ships with everything you need to make the most of your CI/CD platform for Dash app deployment: templates for automated QA, pre-production app review, git-based version control, and more.

Provide data app end users with a powerful, drag-and-drop UI. Dashboard Engine from Dash Enterprise is Python ETL meeds BI — no callbacks or layout required.

Workspaces is an onboard code editor from Dash Enterprise. Easily write and execute code for data apps. No additional downloads or installation needed.

Dash Enterprise Job Queue makes background jobs seamless and scalable in Python. Easily offload CPU-intensive tasks and improve data app performance.

With Dash, access a library of AI/ML templates that work seamlessly with back ends like PyTorch, Keras, and TensorFlow. Easily operationalize Python models.

Dash Enterprise Embedding Middleware enables seamless embedding without the use of iframes. It also offers single sign-on for easy authentication that scales.

Create, annotate, archive, and share views of your Dash apps. With only a few lines of code, Snapshot Engine schedules tasks and auto-generates reports.

Dash is the fastest way to deploy front-ends for ML backends such as PyTorch, Keras, and TensorFlow. To accelerate AI adoption among businesses, Dash Enterprise ships with dozens of ML &amp; AI templates that can be easily customized for your own data.

Leverage Plotly's library of recorded webinars to learn data analytics tips, industry best practices, and application use cases from data analytics experts.

Learn how Université de Sherbrooke uses Plotly to develop new analytical tools to explore and visualize genetic structures at the school's CoBIUS Lab.

Plotly & Université de Sherbrooke to develop genomic visualization

Plotly receives the Canadian SME award for Top Place to Work and Business of the Year for driving product innovation and employee professional development.

Canadian SME National Business Awards selects Plotly

Dash DAQ provides Python users the means to create interactive virtual control panels on their computers that interface with common lab instruments.

Scale AI contributed a grant to Plotly in 2020 to speed innovation in supply chain AI for several Canadian companies, such as Hydro-Québec and Dex Clothing.

Dash Enterprise 5.0 is built on Kubernetes architecture, providing low-code capabilities for data scientists and drag-and-drop custom views for business users.