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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Kansas City Chiefs Champion Digital Transformation in Business and Operations

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

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Join us for the Databricks Montreal User Group meeting this November, a unique opportunity to connect with local data professionals and learn from real-world applications of Databricks. Presentations will be done by Laurier Demers, Engineer at Hydro-Québec (Plotly Customer) with co-presenter Dave Gibbon, Sr. Director of Strategic Partnerships at Plotly.

Databricks Montréal User Group ft. Plotly & Hydro-Québec (Nov 27, 2024)

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?

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

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

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

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

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

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.

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

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: The Premier Data App Platform for Python

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

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.

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

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

Sunsetting Chart Studio Cloud User Accounts

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.

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.

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

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

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

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

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

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

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.

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

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

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 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.

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

Learn how competitive decisions and efficient operations are powered by interactive, dynamic LLM-powered data apps with Plotly Dash Enterprise for Gen AI and ML.

Plotly for Gen AI and ML. Dynamic LLM-Powered Data Apps

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

Rapidly build, deploy, and scale data science data apps from your Jupyter Notebooks, Python scripts, or other Python notebooks with Plotly App Studio.

Plotly App Studio | Python notebook to data app

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.

Use Plotly’s Dash web app framework with AWS (EC2, S3, EKS, RDS, Aurora, Redshift, and more) for at-scale production data apps.

Plotly Dash Enterprise Data Sources helps connect, manage, and access data when connecting to Databricks, Snowflake, Redshift, BigQuery, and AWS S3.

Dash Enterprise lets you centralize data app development under a single platform to manage and deploy Dash, Streamlit, and Django data apps.

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

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.

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

Learn how using Snowflake and Plotly together ensures the delivery of production-grade delivery apps that use real-time machine learning and AI processes.

Use Plotly's new Chatbot Builder to deliver fast, easy AI-generated insights from within your data apps.

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

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.

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

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

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

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

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

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.

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.

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.

Interested in Plotly and Dash for geospatial projects and use cases? Explore these Dash data applications that take advantage of the flexibility of Python.

Data visualization and dashboards is what Plotly and Dash is known for. Explore several of these Python applications for data visualization and dashboards.

Data Visualization & Dashboards Dash App Examples

Data analytics and data scientists meet sports fans with Dash. Explore Dash data applications that convey sports analytics using the flexibility of Python.

Explore Python and data science Dash applications for business-related use cases, ranging from customer segmentation, retail demand forecasting, and more.

Explore examples of Python and data science applications in the energy and utilities industry, including electricity, oil and gas, renewables, and more.

Explore Dash applications that incorporate ChatGPT and generative AI in Python.

ChatGPT & Generative AI Dash App Examples

Explore Dash data applications that run interactive image processing, computer vision, video analysis, and audio engineering with the power of Python.

Explore examples of Python and Dash in finance ranging from quantitative analysis, machine learning, portfolio optimization, and NLP.

Explore examples of Python in bioinformatics in a variety of applications, ranging from genomics, public health, clinical trials, 3D images, and more.

Bioinformatics & Life Sciences Dash App Examples

Explore detailed and practical examples of Python in predictive analytics and forecasting to go beyond common BI limitations.

Explore Python applications for manufacturing and research and development, ranging from laboratory data collection, IoT, real-time dashboards, and more.

Thanks to the flexibility of Python, Dash applications can connect to any API. Explore data applications that connect to external APIs and visualize data.

Explore Python applications for science and engineering, including finite element method, contract for difference, physics modeling, and simulations, and more.

Explore Python data applications for natural language processing (NLP). The following Plotly and Dash applications examples will speak for themselves.

Explore Python and Dash applications for machine learning projects, ranging in a variety of use cases from SHAP explainability, segmentation, and more.

Explore how AI helps you benchmark data tools, making it easy to compare Pandas, Polars, DuckDB, and SQLite on performance, APIs, and scalability.

How AI is Changing the Way We Benchmark Data Tools

Generate static images from interactive Plotly charts for your slideshow, report, academic journal, or thesis with the next generation of Kaleido.

Kaleido: The Next Generation of Static Image Export for Data Visualization

Modern data science teams trade static reports for interactive, collaborative, and highly custom data applications - commonly known as data apps

Complete Guide and Industry Examples. What is a Data App? 

Plotly was in Toronto for the AWS Summit, so we’re reflecting on the top six reasons to choose us for building dynamic data apps for production!

6ix Reasons to Choose Plotly for Production Data Apps

MapLibre is an independently-maintained fork of Mapbox GL JS v1.x, which ensures minimal changes in Plotly’s code. MapLibre also offers improved performance

Plotly Is Switching to MapLibre as the rendering library for all

Plotly.py, our graphing libraries, reached an incredible milestone: 500 million lifetime package downloads from PyPi. Read the blog to learn more.

Learn how to optimize tick label angles in charts or graphs to prevent overlap of dense data points, improving readability of Plotly Dash charts.

Autotickangles Improve Axis Label Readability - Plotly

Data science has specialized roles in finance, shaping how risk is managed and data is visualized. Jeff Butler, Executive Director - XVA Trading at CIBC

The Impact Data Science has on Portfolio Management in Finance

Discover the new collaboration features, customization options, and enhanced control measures in the latest 5.4 Plotly Dash Enterprise release.

Read about Plotly's customer stories, data and AI trends, and more buzz from the Data+AI Summit as told by Domenic Ravita, Plotly's VP of Marketing.

Playing Plotly Hits from Data+AI Summit 2024

Here's how Plotly's new "Ask AI" chatbot answers technical questions based on LLM models trained on over 2,000 pages of documentation.

Meet Your Personal Plotly “Ask AI” Chatbot for Easier Data App Development

Learn what it's like to work as a software engineer on Plotly's App Studio team, building the best notebook-to-app solution for data scientists.

People in Focus: Unveiling Opportunities as a Senior Software Engineer in App Studio

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

Chris Parmer, Plotly Co-Founder and Chief Product Officer, reflects on the future of AI data apps and LLMs in a world of unstructured text.

Dash Club 12: Chris' Reflections on GenAI Dash Apps

Databricks with Plotly

Databricks and Plotly Dash - Connection Options

Python SQL Connector with SQLAlchemy

Jobs API

Databricks Connect v2

Build. Deploy. Scale.