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.

/dash/big-data-for-python/?tab=connect-any-data-pipeline#bigDataTabs

AI in Dash Enterprise — save your spot for tomorrow's launch event session!

Reserve your spot for the Dash Enterprise 5.2 launch event!

https://spillthebeans.beancandesign.com/wind

https://community.plotly.com/t/offshore-wind-turbine-visualisation-component/81810

Visualize turbine data at a wind farm off the coast of England.

https://github.com/thisistheplace/spillthebeans/blob/main/src/app/spillthebeans/three/wind.py

Over 200,000 scientists use Materials Project to analyze over 140K materials across 14 apps.

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4118651

Python Finite Element Model (FEM) simulations of a silicon furnace.

https://dash.gallery/dash-airfoil-design/

https://medium.com/plotly/7-dash-apps-bringing-ai-ml-to-sports-analytics-cb6e7c993064

Example of Python AeroSandbox for computational fluid dynamics in Python.

https://github.com/peterdsharpe/Automotive-Airfoil-Design

https://sudret.ibk.ethz.ch/education/baustatik.html

A dozen interactive civil engineering and structural mechanics models in Python.

Geothermal reservoir engineering simulators by the LBNL.

http://www.vibresearch.com/dashboards/_1_Waveform_Analysis_with_FFT_filter

http://www.vibresearch.com/articles/_1_Breaking_down_Waveform_Analysis

Python digital signal processing app for industrial IoT.

https://dash.gallery/dash-label-properties/

A scikit-image example that extracts rich metadata from an image.

https://github.com/plotly/dash-sample-apps/tree/main/apps/dash-label-properties

Exploring 20 years of data from the West Coast Metabolomics Center at UC Davis.

http://tools.utfireresearch.com/apps/table

https://www.sciencedirect.com/science/article/abs/pii/S0378775319312509

Evaluation of fire and explosion hazard for lithium-ion batteries.

https://github.com/UTFireResearch/hazard-analysis-dashboards

Interactive graphs that fit replicate data to the Michaelis-Menten kinetics equation.

https://github.com/Paradoxdruid/bonhamcode.com

10 geotechnical engineering models in Python including seismic classification, site design, and more.

The right tools can accelerate scientific advancements by gathering large amounts of data, facilitating research, and finding insights. Explore Dash app examples in science and engineering, including finite element method, contract for difference, physics modeling, and simulations, and more.

https://plotly.com/examples/science-engineering/

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

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

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

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

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

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.

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

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.

Dash Enterprise: The Premier Data App Platform for Python

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.

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

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.

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.

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

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

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

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

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

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

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.

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

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.

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

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

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

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.

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.

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.

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

ChatGPT & Generative AI Dash App Examples

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

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

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

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

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.

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

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

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

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

Analyze URLs and website structure with Dash for better sub-folder organization, effective content distribution, and enhanced online presence.

Analyzing Website Structure With robots.txt Files and XML Sitemaps Using 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

Ease the learning curve of unit testing your Dash applications with this tutorial by Mario Rodríguez Ibáñez, Plotly Professional Services team.

Building Unit Tests for Dash Applications

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

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

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.

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

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

We explore how to choose between low-code and no-code for data app development, offering insights to streamline data into production-ready apps.

What’s Better: Low-Code or No-Code Data App Development?

Discover the benefits, challenges, and explore how AI benefits both employees and patients in the Pharmaceutical and Life Sciences industries.

How Pharma and Life Sciences Are Benefiting From AI Applications

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

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

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

Nicole Arksey, Group Product Manager at Plotly, shares her thoughts on the upcoming Dash Enterprise 5.2 release — and what it means for data science teams.

How Dash Enterprise 5.2 Enables Data Science Teams to Influence Mission-Critical Decisions

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

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

Fetch Rewards develops self-service production-grade data applications for its Analytics Hub platform using Plotly Dash and Snowflake.

Fetch Integrates Plotly Dash With Snowflake to Power a Comprehensive Self-Service Analytics Platform

Largest independent European asset management firm, WPO, offers fit-for-purpose data analytics spanning six gigawatts of global renewables sites.

WPO Leads Renewable Energy Asset Management with Dash

SICS shares cohort data with the global research community by deploying data catalogs, analytics, and research to an interactive data vault platform.

Singapore Institute for Clinical Sciences Enables Open Sharing of Health Research with Interactive Data Vault Platform

U.S. Food Tech startup Pairwise sees 10x scalability of molecular screening pipeline with Dash Enterprise for innovative scientific analytics.

Pairwise Accelerates Food and Tech Innovation with Python and Dash Enterprise

S&P Global's rapid development and evolution of Workbench Data Applications derived from massive, aggregated datasets with Plotly and Databricks.

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

Learn how a U.S. federal power provider adopted advanced analytics for nuclear plant mapping and intelligent text analysis using Dash Enterprise.

Federal Power Provider Saves Time and Costs on Nuclear Site Operations and Maintenance With Dash Enterprise

Discover how PriceLabs chose Python analytics over traditional BI software for custom parametrization and robust, relevant, real-time analytics.

PriceLabs creates custom platform for vacation property management analytics

Dash Enterprise front-end framework and Databricks back-end architecture empower Sidmach to develop and launch AI-powered educational platform.

Sidmach launches AI-driven Edustat platform built with Plotly Dash Enterprise and Azure Databricks

Gamuda pairs Python and Dash with sensor data to build real-time monitoring for the world’s first Autonomous Tunnel Boring Machine (A-TBM) effort.

Gamuda develops tunnel boring machine IoT solution with Dash Enterprise

How Crant, an AI company, reduced weekly analysis time by 28 hours and processed social media data to produce daily metrics with Dash Enterprise.

How Crant Automated AI-driven Insight for Brand Building with Dash

CIBC Capital Markets deploys production-grade data apps with quantitative analytics and machine learning models to Sales and Trading desks.

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

Learn how Chesapeake Energy implemented Dash Enterprise to address challenges related to real-time data visualizations and secure mobile access.

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

National Renewable Energy Laboratory builds custom preprocessing interface to instantly rerun wind turbine wake steering models and hypotheses.

National Renewable Energy Laboratory Mobilizes Dash for Wind Turbine Wake Research

Here's how financial technology company Intuit achieved 50% faster experiments with Python and Dash Enterprise, increasing analyst productivity.

Intuit Reduces Experiment Runtime More Than 50% with Dash Enterprise

Gamma Technologies partners with Plotly Professional Services to support automated chart creation in their simulation platform.

Gamma Technologies and Plotly Partner on Updates to Industry-Leading Engineering Simulation Platform

Komatsu uses Dash Enterprise to build custom data applications with Snowflake for insight generation, fault detection, and contextualizing machine behavior.

Komatsu Develops Advanced Analytics and Reporting Applications With Dash Enterprise and Snowflake

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

Read the story of how within one year of switching to Dash Enterprise, a North American public utilities org reduced customer complaints by 10x.

Public utility organization reduces work order overdue rate by 87% with Dash Enterprise

Read how NISCI deployed production-grade, interactive ship cargo optimization and distribution network planning applications with Dash Enterprise.

NISCI Develops Supply Chain Applications With Dash Enterprise

Discover how Dash Enterprise facilitates decision-support tool development aligning with Uniper's production deployment and security standards.

Uniper accelerates digital innovation in trading business with Dash Enterprise

Martin Engineering uses Dash Enterprise to develop and deploy production-grade data applications from on-site manufacturing equipment sensors.

Martin Engineering Optimizes Customer Site Up-time and Safety with Predictive Maintenance and Remote Monitoring Applications

UK Power Networks developed ML-powered models to predict electricity demand peaks and inform network reliability upgrade investment decisions.

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

Investing in Dash Enterprise provided a unified analytics platform for the Kansas City Chiefs' analytics team to address diverse use cases.

Kansas City Chiefs Champion Digital Transformation in Business and Operations

Learn how the Basketball Analytics Group on the Utah Jazz team is bringing powerful Python analytics to the NBA with Dash Enterprise.

Dash Enterprise for Sports Analytics with Utah Jazz

Major telecommunications firm uses Dash Enterprise to develop a Python-based analytics platform to better track internal ROI and decisions.

Predictive Analytics at Multinational Telecommunications Firm Accelerates Digital Transformation with Dash Enterprise

A digital pharmaceutical company takes action with Dash Enterprise to visualize thousands of drug compound results in the wake of COVID-19.

Dash Enterprise in the Fight Against COVID-19

Science & Engineering

Wind Farm Viewer

Berkeley Materials Project

Silicon Furnace Model

Airfoil CFD Design

Structural Mechanics

TOUGH Simulators

FFT Waveform Analysis

Interactive Image Segmentation

Explore Mass-Spectrometry

Battery Hazard Analysis App

Bonham Code App

Geotechnical Engineering Models