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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Cox Automotive leverages Plotly Professional Services and the power of Dash Enterprise to realize a nationwide capacity planning solution.

Largest U.S. Automotive Auction Network Deploys Capacity Planning with Dash Enterprise

Plotly Professional Services helps Gamma Technologies overhaul their conventional and electric vehicle engineering software.

Gamma Technologies Updates Engineering Simulation Platform with Plotly.js

Python and Dash Enterprise powers innovation in bioinformatics and molecular sequencing pipelines.

Pairwise Accelerates Food + Tech Innovation with Python and Dash Enterprise

Dash Enterprise empowers remote contractors to access live drilling data and quickly respond to critical alerts.

Chesapeake Energy Creates Real-Time Data Applications for Mission-Critical KPIs

Holmusk uses Dash Enterprise and Databricks to achieve faster development, decision-making, and deployment of their NeuroBlu analytics platform.

NeuroBlu Analytics Platform Delivers Flexibility and Data-Driven Insight to Healthcare Stakeholders

Dash Enterprise front-end framework and Databricks back-end architecture empower Sidmach to go beyond traditional BI tools.

ICT Firm Launches AI-Driven Platform with Dash Enterprise + Azure Databricks

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

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

Learn how Dash is empowering organizations with real-time insights, interactive visualizations, and collaborative decision-making.

Embracing the Next Generation of BI with Dash Enterprise

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?

User Stories & White Papers

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.

Data science and analytics best practices, trends, success stories, and expert-curated tutorials for modern data teams and leaders.

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

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

Plotly Customer Success empowers Dash Enterprise customers to drive insight and decision-making with data. The award-winning team offers support, enablement sessions, technical account management, and more.

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

Find answers to common questions you may have about Dash Enterprise, including migration, installation, deployment, and licensing.

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.

Deploy front-ends for machine learning back-ends like PyTorch, Keras, and TensorFlow with custom Life Sciences templates in Dash Enterprise.

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

Dash Enterprise vs RStudio, Anaconda, Streamlit

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.

Learn how Dash, Posit (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, Posit (Shiny), and Streamlit compare?

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.

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

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

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

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.

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.

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

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

Use Plotly’s Dash web app framework with Databricks (Python SQL connector, Jobs API,  CLI, databricks-connect-v2) for at-scale production data apps.

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.

As a Python-based framework, Dash offers integration with ChatGPT and large language models (LLMs). Learn how you can take part in the future of AI-enabled apps.

Learn how Dash Enterprise installs via automated scripts and 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.

Dash Enterprise seamlessly integrates CI/CD for streamlined app deployment. Git-based workflow, automated QA, version control, and more included.

Dash Enterprise is the fastest way to deploy front-ends for machine learning back-ends with dozens of easily customizable ML and AI templates.

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

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

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

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.

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).

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.

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

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.

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

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.

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.

Learn how Plotly prioritizes data security as the premier platform for developing, scaling, and deploying Python-based data apps.

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.

Dive into the world of data science in finance, where analytics and insights reshape the future of financial decision-making and innovation.

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 how to accelerate data app creation using GitHub Copilot with Dash Open Source and Dash Enterprise Solutions, for streamlined development.

Dash + GitHub Copilot = Easier and Faster Data App Building

Discover the power of leveraging Polars in lightning-fast Dash apps for visualizing and analyzing large data sets in your production environment.

How Polars Can Help You Build Fast Dash Apps for Large Datasets

Automate and streamline digital marketing workflows with by building custom digital marketing data apps and dashboards using Advertools and Dash.

Automating and Streamlining Digital Marketing Workflows with Plotly and Dash

Easily build and deploy an interactive dashboard interface for your scikit-learn models directly on the web, with Plotly Dash.

Build Python Web Apps for scikit-learn Models with Plotly Dash

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.

Plotly Professional Services team shares how to effectively visualize geospatial datasets in data apps, specifically for vector, polygon data.

Performance Optimizations for Geospatial Dash Apps

Discover how Anna Riley, Plotly Professional Services team member and athlete, visualized her Strava data in just two weeks with Dash.

Reflections from an Athlete — Dash feat. Strava

In this blog post from Plotly Community Manager, Adam Schroeder, learn how to leverage Matplotlib's robust plots with Dash's intuitive API to create dynamic and immersive data visualizations.

Creating an Interactive Web App with Matplotlib, Python, and Dash

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

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. Learn more in this article.

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

How to Automate Excel Reports Using Python | Plotly