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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

Dec 11 | Discover innovative Dash apps exploring Michelin-starred dining with AI and LLMs.

Reserve your spot for the Dash Enterprise 5.2 launch event!

Drag & drop, crossfiltering, code gen, and chart editors for Dash apps

DASH ENTERPRISE

Dashboard Engine

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Quickly create Dashboard layouts using the built-in drag & drop UIs from structured datasets. Once finished, generate the code and commit it as part of your Dash app project.

Provide your end-users with a drag & drop interface for creating their own charts and layouts from your dataset.

Enhance your Dash app with best-in-class high performance visual crossfiltering.

Dashboard Engine facilitates rapid Dashboard development from Python datasets. Use Dashboard Engine to:

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Dashboard Engine turns your dataset into a fully featured Dash app in just a few lines of code.

Dashboard Engine is built with Dash and integrates into existing Dash apps. The layout interactions are prebuilt and provide drag & drop layouts, a prebuilt chart editor auto-filled by your dataset, and automatic visual crossfiltering between the charts in the UI.

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Dashboard Engine provides a prebuilt UI canvas for creating charts and tables without code. Select a data source, and Dashboard Engine intelligently creates chart editing controls based on the dataset’s columns and datatypes. Instead of programming each chart individually, end users can build their own dashboards without code.

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Dashboard Engine brings drag-and-drop layouts to your Dash apps. Arrange each component as you want, then use the Codegen feature to auto-generate the Dash app layout code. This exported code can then be used to build a new Dash app managed by App Manager.

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Python is the best tool for the complex ETL needs of modern businesses. With Dashboard Engine’s Python API, import data directly from your Python ETL scripts. Cross-filtering and aggregation of large datasets are available right out of the box — no need to code this logic.

With no coding involved, end users can quickly drill down through structured enterprise data by region, time, or any other feature to gain fast and flexible insights with the click of the mouse.

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Pivot tables are some of the most powerful visualization tools for aggregating and analyzing data. Dashboard Engine provides an advanced pivot table component that performs aggregation of your Python dataset automatically. It performs the computations in the Python backend with Vaex, scaling to millions of rows. And it's interactive, allowing you to visually filter rows and columns across all charts within your Dashboard Engine canvas.

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Dashboard Engine is built on top of Dash, and can be embedded inside existing Dash apps. This expands how your end users can interact with Dash apps by giving them a no-code way to rapidly create their own layouts and views directly from the dataset.

Provide prebuilt views with Dash on one page, and a blank dashboarding canvas for power users who want to go beyond the default views of the Dash dataset. Or, hook up your own Dash callbacks to Dashboard Engine to run custom data science routines on the filtered data.

Sign up for a live demo to learn more about our Dash Enteprise offering.

JOIN THE THOUSANDS OF INNOVATORS THAT ARE ALREADY BUILDING WITH DASH ENTERPRISE.

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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.

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

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.

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

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.

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

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

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

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.

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

Sunsetting Chart Studio Cloud User Accounts

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

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

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

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

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

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

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.

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

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.

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

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

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.

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 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.

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.

Explore Python applications for science and engineering, including finite element method, contract for difference, physics modeling, and simulations, 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 Dash data applications that run interactive image processing, computer vision, video analysis, and audio engineering with the power of Python.

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

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

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

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

Read the first edition of our blog series on debugging for Dash data app development. Learn tips and tricks to investigate issues and resolve them.

How to Future-Proof Your Data Apps With Structured Debugging

Learn how the latest Plotly charting libraries release supports anywidget, for Dash developers to create interactive plugins and patterns in Python notebooks.

From Widgets to Extensions: A Plotly Refresh for Notebook Users

Plotly's open-source libraries get major releases for faster data apps with Narwhals, a new Dash hooks system, a new design for Kaleido, and more.

Major Releases of Plotly and Dash: Narwhals, Dash Hooks, and More

Learn how you can boost Dash data app performance with the new Plotly.py collaboration with Narwhals, a dataframe compatibility layer.

Chart Smarter, Not Harder: Plotly Now Offers Universal DataFrame Support

Genome data encodes life and drives bioinformatics challenges. Learn how cogent3 and Plotly help accelerate decoding genetic variants and their implications.

Plotly offers many chart types for visualizing ranges of data, including violin and box plots. Learn how you can construct a range chart.

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

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

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

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

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

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? 

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

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

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

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.

Dataphoria co-founder and CEO, Anastasis Stamatis, shares his inspiring story from data scientist to the CEO of a sustainability analytics company.

A Data Scientist's Path to Becoming the CEO

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

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

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.

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

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

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.

Arne Petter, Data Science consultant, chats about his experience building data apps with Dash Enterprise for internal and external clients alike.

Building Plotly Dash Data Applications as a Data Science Consultant

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

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

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

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

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

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 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'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

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

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

Dashboard Engine

About Dashboard Engine

Structured Data

See Dash in action.