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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NHS Foundation Trust Unlocks AI Healthcare Potential with Dash Enterprise

Happening this week: Plotly is at Data Council in Oakland. Join us!

Reserve your spot for the Dash Enterprise 5.2 launch event!

The founders of Databricks created Apache Spark, as well as other open-source data science and machine learning projects, making them valued Plotly partners. Dash applications using Databricks can be easily developed and deployed to Dash Enterprise. 

View the Plotly Dash documentation or access the resources below to get started. 

SOLUTIONS

Databricks with Plotly

100%

Plotly has been honored with the 2024 Customer Impact Partner of the Year award by Databricks at the annual Data + AI Summit! This prestigious recognition highlights the significant business value achieved by Databricks customers using Plotly's production-grade data app platform.

Plotly is Databricks' Customer Impact Partner of the Year

By examining trends in data and AI adoption across more than 10,000 global Databricks customers, Databricks names Plotly the Top Data & AI Product of 2024.

Plotly is Databricks' Top Data & AI Product of 2024

Production-grade data apps are being used by data teams all over the world to scale, share, and style data-driven insights. Data and AI firms, such as Databricks and Plotly, are helping these teams gain a competitive edge through cutting-edge solutions.

What is a production-grade data application?

Laurier Demers, Engineer at Hydro-Quebec, presented at the Databricks Montreal User Group Event on November 27, 2024 about Octave. Octave is a Plotly/Dash data application for visualizing and analyzing smart meter load and voltage measurements. Constantly evolving since 2019, it now facilitates analyses for more than 900 users from more than 4.5 million smart meters.

Hydro-Québec optimizes Databricks with Plotly Dash for an at-scale smart-meter IIoT Data App for Electrical Engineering

S&P Global's rapid development and evolution of Workbench Data Applications derived from massive, aggregated datasets with Plotly and Databricks. For a quick snapshot of their production-grade apps, check out this webinar highlight reel. Learn how they launched GenAI and Analytics Solutions via Capital IQ Pro Labs.

S&P Global Market Intelligence Powers 'Workbench Data Apps' Commercial Offering using Plotly with Databricks

August's Plotly Hangout featured Jeff Butler, Executive Director - XVA Trading at CIBC. Working at one of the leading North American financial institutions, Jeff leverages his knowledge of Plotly Dash and Databricks to create data applications that deliver insights and custom analytics to the business.

Plotly Hangout featuring Jeff Butler from CIBC Capital Markets

At Databricks 2024 Data + AI Summit, Shell’s John O’Brien discusses data governance (Unity Catalog). During the talk, he highlights the importance of high-quality tooling, noting how they use Plotly Dash for advanced apps developed and used by their traders alongside their Azure Databricks implementation.

AI & the Lakehouse: Shell's Journey Towards Effective Data Governance

Onik Kurktchian, Head of S&P Global Marketplace Workbench at S&P Global, led a session on S&P Capital IQ Data Applications. Driven by Databricks and Plotly, these apps make use of S&P Global's data, technologies, and experience.

Power S&P Capital IQ Data Apps with Databricks and Plotly

Sachin Seth, CEO at Lakeside Analytics, showcased a method for organizing and gaining insights from petabytes of data that are accessed via serverless SQL warehouses. He integrates Plotly Resampler's next-generation charting with the Databricks Platform.

Visualizing Trillion Row Datasets with Databricks and Plotly

Cody Davis, Senior Solutions Architect at Databricks, showed more than 1000 attendees how to integrate audit logging, system tables, and other Databricks APIs to build scalable production data apps in Plotly Dash, providing non-technical users with a single, end-to-end workflow for managing their Data Intelligence Platform. Check out his recent Medium article about AI-embedded Observability or view his talk below.

Production Data Applications for AI-Driven Observability

Join us for an insightful webinar in collaboration with Databricks, where we explore how the data science community is actively leveraging AI. Hear from Chris Parmer, the creator of Dash, Adam Schroeder, Plotly's Community Manager, and the winner of the DBRX app challenge. 

The Next Generation of AI Data Apps

The process for building at-scale interactive Plotly Dash analytics apps for streaming data via Databricks is accomplished by using the Databricks Structured Streaming solution in conjunction with the Databricks SQL python connector (DB SQL). Watch the joint technical webinar. 

Build Real-Time Production Data Apps with Databricks & Plotly Dash

With their Ascentia Analytics SaaS offering, Collins Aerospace helps airlines ensure reliable flight schedules and fewer delays by anticipating aircraft maintenance issues in advance.  Plotly and Databricks help power this platform, including their Repeaters and Prognostic Health Monitoring (PHM) applications. Watch their presentation and review their website to see these production-grade Dash apps in action.

Collins Aerospace’s Ascentia Analytics - leveraging Databricks with Plotly for aviation data applications

Read how the organization leveraged Databricks and Dash Enterprise to deliver predictive analytics to a team of electrical engineers and capital investment planners. Watch some highlights from their recent customer spotlight webinar. Check out their press release on achieving the industry's first-ever trial of disaggregated smart meter data.

UK Power Networks Utilizes Dash Enterprise and Databricks in Drive to Save Customers More Than £400MM

Learn how CIBC Capital Markets used Databricks and Dash Enterprise to deploy custom client analytics applications. Their teams realized indirect cost savings, reduced dependence on IT, and saved time by automating processes. Hear also from the CIBC Executive Director - XVA Trading.

CIBC Drives ML-Powered Quant Analytics with Plotly Dash Enterprise and Databricks

Uniper develops trading decision-support tools and advanced analytics data apps using a workflow that includes initial collaboration in Azure Databricks notebooks. View the webinar highlight reel.

Uniper's Energy Trading Analytics is enabled by Dash Enterprise and Databricks

Migrating from Excel using Databricks SQLAlchemy & Plotly Dash AG Grid to deliver editable data apps with write-back capabilities

Molson Coors Streamlines Supply Planning Workflows with Databricks & Plotly Dash

Using Databricks and Plotly Dash, Shell was able to deliver sophisticated visualization and real-time modeling decision capabilities to remotely located engineers via a dynamic, interactive application.

Shell develops an Integrated System to Improve Decisions in Real-Time Hydraulic Fracturing Operations

Ballard Power Systems transitioned to Azure cloud-based architecture, leveraging Databricks for data ingress, at-scale analytics, and computing, alongside Dash Enterprise for interactive reporting and visualization.

Ballard Scales Hydrogen Fuel Cell Fleet Diagnostics with Databricks and Dash

Using Plotly and Dash, Mitzu.io created a purpose-built analytics solution that takes data from an at-scale lakehouse, interpreting complex delta table schema and identifying variations in event properties.

Mitzu decreases feature ship time from weeks or months to just a couple of days

Revenue.ai share how they built an enterprise-grade production data app that seamlessly connects with their enterprise data architecture.

Revenue.AI’s commercial SaaS offering uses Plotly Dash & Databricks

See how S&P Global Marketplace Workbench uses Databricks and Plotly for data access, collaboration, and visualization. Access a sample notebook and interactive figures for financial analysis.

S&P Global Marketplace Workbench visualizations powered by Databricks with Plotly

Within one year, Dash enabled a major public utility to reduce its customer complaints by 10 times, scaling Dash usage within the company and integrating AI and Databricks.

Dash Enterprise for Public Utility Operations

aioneers’ AI supply chain intelligence platform pushes past legacy BI with Plotly Dash and Azure Databricks for actionable machine learning insights.

aioneers Builds AI Supply Chain Intelligence Platform with Plotly Dash and Azure Databricks

Watch the full webinar recording to learn how Ballard solves challenges in operationalizing and scaling end-to-end data collection, analytics, and visualization workflows.

TDWI Expert Panel with Ballard Power Systems, Databricks, and Plotly

Participate in the LLM revolution by leveraging an intuitive, interactive front end to derive full value from your Data/ML/AI stack — all without code.

Amplify Your Custom LLM Strategy Using Databricks with Plotly (Part 1)

Learn how to use Dash Enterprise to deploy other Python data app frameworks, including but not limited to: Django, Flask, and Streamlit. This article covers how to utilize Dash Enterprise to create and implement Streamlit apps and how to use Databricks SQL as your applications' back-end.

Deploying Streamlit Apps to Dash Enterprise with Databricks

Dash can be used as a front-end platform for the Databricks SDK, and in turn, the Jobs API. Run a demand forecasting notebook on Databricks from the comfort of a Dash web application built with Python.

Databricks SDK (Jobs API) + Plotly Dash: a front-end for interactive definition and execution of notebook jobs

The process for building at-scale interactive Plotly Dash analytics apps for large quantities of industrial IoT time-series data in conjunction with the Databricks SQL Python connector (DB SQL).

Databricks SQL Connector + Plotly Dash with Plotly Resampler: Visualize a Billion Points

Maximizing the value of Databricks-enabled Dash apps using new SQLAlchemy integration

Databricks SQL Connector with SQL Alchemy + Plotly Dash (Advanced Edition): Build production-grade data apps

For building Plotly Dash apps on Databricks, the integration process is identical to any data warehouse. Use the databricks-sql python connector (DBSQL) to create a jdbc/odbc connection to a DBSQL endpoint, or use an ORM such as SQLAlchemy.

Databricks SQL Connector + Plotly Dash (Basic Edition): Build Data Apps

Learn how Molson Coors streamlined their supply planning workflows with Databricks & Plotly Dash.

Databricks SQLAlchemy & Plotly Dash AG Grid for editable data apps

View this step-by-step guide for building at-scale interactive analytic apps for streaming data.

Databricks SQL Python Connector and Databricks Structured Streaming with Dash

Check out the Databricks documentation →

Seamlessly build Dash Apps on a Lakehouse with Databricks SQL. Use the Databricks SQL Connector for Python to connect to Dash and run SQL commands on Databricks clusters and warehouses.

Use the Databricks Jobs API to run a data processing task for your Dash app in a cluster with scalable resources. Suitable for single tasks or large, multi-task workflows.

With Databricks Connect v2, connect to Dash directly to your Databricks Lakehouse and use Dash Enterprise Workspaces IDE for interactive development and debugging.

Easily connect your Databricks back end to Dash with the Python SQL Connector, Jobs API, Databricks SDK, or Databricks Connect.

Databricks and Plotly Dash - Connection Options

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

Discover data applications for production with Plotly Dash. Put data and AI into action with scalable, interactive data apps for your organization.

Read in-depth user stories and examples of how Plotly customers build, deploy, and scale professional data applications with Dash Enterprise.

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

We love connecting with the data community, in-person and online! Explore upcoming Plotly community events, webinars, and conferences around the world.

Plotly Community Events, Webinars, and Conferences

This video introduces Plotly App Studio as a fast and flexible environment for building and deploying interactive Python data apps.

Easy-to-follow video tutorials and practical insights from data science experts to help you master Plotly for interactive Python data apps.

Plotly Videos | Explore, Learn, Visualize

Learn how Dash Enterprise 5.6 helps teams scale data applications, manage cloud costs, and improve data access across the organization.

Everything from geospatial analytics to finance and unstructured data workflows: Dash apps handle massive datasets and deliver high performance.

This video introduces how Plotly AI Chat helps users explore and visualize data faster with natural language prompts, a dataset, and generative AI.

Alex Martinez from RA Capital explains how Dash has replaced static tools like spreadsheets with real-time, interactive data apps.

How RA Capital replaced spreadsheets with Plotly

Watch the video to follow along and hear from the Cox Auto team on modernizing auction operations with scalable data apps using Dash Enterprise.

How Cox Auto drives automotive operations with Dash Enterprise

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.

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

Jeff Butler from CIBC talks about using Plotly Dash for financial analytics, managing credit and funding risk related to over-the-counter derivatives.

Plotly Virtual Hangout - Jeff Butler from CIBC

Watch how Cox Automotive turned to Dash Enterprise to solve a critical capacity planning problem across its 50-plus auto auction sites.

Cox Automotive on capacity planning with Dash Enterprise

A look at Dash Enterprise Design Kit, a framework to standardize the appearance of your data apps, making it simple to personalize apps without CSS.

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

Dash Enterprise | Data App Platform for Python

Austin Kiesewetter, a software engineer at Martin Engineering, shared his journey from entrepreneurship to building open source tools for the Plotly community.

Plotly Virtual Hangout - Austin at Martin Engineering

This video introduces global environmental variables and horizontal pod scaling in Dash Enterprise to improve control, customization, and scalability.

Global environment variables and horizontal pod scaling

Watch how Somerset NHS Foundation Trust (SFT) enabled AI across its operations using Plotly Dash and open source Python libraries.

Enabling AI in an NHS Acute Trust with Plotly

Get a full walkthrough of Plotly App Studio, the data app builder that’s changing how teams develop and deploy interactive data apps.

App Manager is the control center where users can configure data sources, define authentication, and access tools like App Studio and Design Kit.

Quick intro to Dash Enterprise App Manager

We demonstrate how to transform a Jupyter Notebook into a shareable Python data app using App Studio in Dash Enterprise.

Go from Jupyter Notebook to Python data app fast

Dash Enterprise and open source Dash make it possible for data teams to harness these models without needing web development expertise.

Plotly App Studio is the easiest way to transform static data science notebooks into branded, interactive data apps, with AI.

Quick intro to Dash Enterprise App Studio

In this walkthrough, Nathan from Plotly demonstrates how to create an interactive data app from a Jupyter Notebook, using App Studio within Dash Enterprise.

Add interactivity to your Jupyter Notebooks and Python data apps

The keynote for Plotly’s summer launch event shares the company’s mission to make data apps accessible with better analytics, collaboration, and deployment.

This video tutorial demos the development of two Dash apps powered by the DBRX large language model. We'll share how to integrate DBRX into a Python data app.

Data apps in Python with Plotly Dash and DBRX LLM

Explore the table editor and transform library to shape and analyze data interactively before visualizing it, while still editing Python code.

Tutorial: Data shaping and transformation in App Studio for Dash Enterprise

We highlight how Plotly continues to evolve based on direct feedback from its global community of data and AI professionals.

Data and AI today — enhanced enterprise connectivity

The Kansas City Chiefs analytics team shared how they use Dash Enterprise to power real-time event operations through custom sports analytics.

How the Kansas City Chiefs use Plotly Dash Enterprise

App Portal is a centralized place to access, interact with, and act on their data through applications built on Dash Enterprise.

Quick intro to Dash Enterprise App Portal

This video introduces Dash Enterprise 5.4, focusing on App Studio and how it enables faster, more customizable development of interactive data apps.

Plotly App Studio — data apps for everyone

Meet the Plotly AI Code Assistant, your new coding co-pilot to write and edit Dash code with intelligent autocomplete faster than ever.

Take the product tour to experience Plotly Dash Enterprise, a platform for building production data apps in Python, assisted by AI.

A recap of Plotly Dash Enterpise 5.5, focused on enhancing data connectivity, improving app performance, and supporting large datasets.

Data connectors and App Studio in Dash Enterprise 5.5

Andrew Schutte, Senior Data Scientist for the Kansas City Chiefs, shares his journey from industrial engineering to leading data initiatives.

Plotly Virtual Hangout - Andrew from Kansas City Chiefs

Nathan Drezner shares updates for Dash 3.0 with new features and performance improvements perfect for all Dash developers and component creators.

Watch a video tutorial on how to customize the look and feel of your data apps using themes and styling tools built into Plotly App Studio. 

Exploring Themes and Styles in App Studio

Chris Parmer, Chief Product Officer and co-founder of Plotly, walks through Plotly’s journey and vision for shipping data apps.

Plotly’s story — data apps for everyone

 Watch a detailed walkthrough of building a production-ready retrieval-augmented generation (RAG) Python app data using Dash.

Justin Andrews from Shorelight shares how his team uses Dash Enterprise to support international student enrollment and deliver powerful analytics tools.

Data Science market needs and customer insights

Matt Brown, product manager at Plotly, breaks down the new AI chat feature built into App Studio that cuts down the time it takes to build data apps.

A smarter way to build data apps with Plotly AI

In this video, we introduce App Studio: the result of years of working with enterprise teams to streamline how Python data apps are developed and deployed. 

Build faster Python data apps with Plotly App Studio

The founder of Broadband Insights shares how his team uses Plotly Dash Enterprise to build and deploy telecom analytics for broadband providers. 

Custom telecom analytics for rural regions

Discover the latest updates in Dash Enterprise, Dash Open Source, and Plotly Graphing Library — new product features, enhancements, and more

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

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

Learn how Plotly Champions make a significant impact by developing open-source tools, offering guidance, or supporting fellow community members.

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

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

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.

Plotly’s brand guidelines outline the visual identity of our brand. Use this page as a starting point if you are creating imagery using the Plotly logo.

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.

Discover how leading businesses put data and AI to work, through production data apps. Request a custom price-quote.

Review the Dash Enterprise Terms of Use and gain a thorough understanding of Plotly's policies, to ensure compliance and effective utilization

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

See how Plotly Dash Enterprise compares to frameworks like Streamlit when it comes to scaling, security, and flexibility.

See how Dash Enterprise Compares to Streamlit

View the previous version of Plotly's privacy policy, including information collected, security, and third-party services.

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

Build, deploy, and scale professional data applications with airtight security, for confident, data-driven decisions across the organization.

Learn how we handle and protect your personal information during the hiring process. Our Data Privacy Notice for Candidates explains how we collect, store, and use applicant data, ensuring compliance with data protection laws to keep your information secure and confidential.

Discuss your use case with a Plotly expert. Learn how industry leaders are solving the toughest challenges with custom data apps powered by Plotly Dash Enterprise.

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

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.

Important updates to Chart Studio Cloud regarding user accounts, starting on November 8, 2024.

Sunsetting Chart Studio Cloud User Accounts

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

Dash Enterprise for Python vs Common BI Software

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?

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?

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 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 Python Package Manager Quirks a Year Into Adoption

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 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

Plotly AI is a set of AI capabilities helping data teams analyze data faster and create production-quality, interactive Python data apps with Plotly.

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

Databricks with Plotly

Plotly is Databricks' Customer Impact Partner of the Year

Plotly is Databricks' Top Data & AI Product of 2024

What is a production-grade data application?

Databricks and Plotly Dash - Connection Options

Python SQL Connector with SQLAlchemy

Jobs API

Databricks Connect v2

Build. Deploy. Scale.

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