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

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!

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

Plotly Customer Success

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Detailed and expert guidance for your business objectives and use cases. From development to deployment, we're here to ensure that your data app fits your team's requirements and follows best practices.

We triage email support issues immediately, with escalation and further investigation when required. After initial discussions, you can follow up by requesting a screen-share meeting for enhanced support. Our solutions support hours are between 4am to 6pm ET, Monday to Friday.

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Get expert assistance on platform installation, maintenance, and integration. We work closely with your IT department to ensure that back-end connections and configurations are set up properly. Our installation and infrastructure support hours are 4am to 12am ET, Monday to Friday.

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Enjoy real-time, step-by-step support for installation whether on AWS, Azure, or GCP cloud environments or on a Bare Metal Server. Let our team personally guide you through screen-share for a smooth Dash Enterprise setup experience.

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We provide enablement through educational materials and programs so you can fully leverage and adopt Dash Enterprise for your advanced analytics needs. Comprehensive materials, education, and orientation sessions for every step of your Dash Enterprise journey — Design Kit, Report Engine, customized use-case sessions, and beyond.

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Standard package and larger accounts have an assigned Technical Account Manager (TAM) who is there to make sure Dash Enterprise is generating value for you. Your TAM will provide consultation on architectural best practices, performance hurdles, upgrade planning, and more.

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Experts in delivering future-proof data apps across all sectors. The Services team has worked with Dash Enterprise customers, both big and small, by providing architectural reviews, automated reporting, data pipelining, custom component development, and more. Want to take your app or workflow to the next level? Learn more about Plotly Professional Services.

Read the story behind our Bronze Stevie Award for "Achievement in the Use of Data & Analytics in Customer Service" by leveraging Dash Enterprise to reduce our median first-response time by 60%.

Plotly Wins Bronze Stevie Award in 2023 Stevie Awards for Sales & Customer Service

Plotly VP of Customer Success, Chelsea Douglas, talks data security, customer success philosophy, and what it takes to lead a data-driven CS team in conversation with Dikayo Data on the Data Femme podcast.

Data Femme podcast titled, "Your Data in Harmony"

"Plotly's end user support is outstanding. Response times are always within 24 hours, if not faster, despite the fact that we are located in the EU timezone. Any issues or challenges that we face are quickly and efficiently resolved, which as a fast moving organization, is critical for some projects.”

“Shout out to the amazing Dash Enterprise tech support team at Plotly. We've had Dash Enterprise on-prem here at Pallidus since February and they have been super helpful in getting our suite of dashboards up and running. Four dashboards and counting so far!”

"I am highly grateful for the Dash support team. Easy to work with, responsive, knowledgable — great group of people!"

Chelsea Douglas is the VP of Customer Success at Plotly. She has 10+ years of experience in research, analytics, and customer support program management. Chelsea believes in the importance of telling a cohesive story with data.

Celia López Monreal is a Customer Success Engineer at Plotly. She empowers Dash Enterprise customers to create inspiring web apps and dashboards, and is also active in the Plotly Open Source community. She has a passion for helping people learn about data and coding.

Taylor Hale Robert is a Customer Success Onboarding Team Lead at Plotly. She has extensive experience and expertise in Data Science, Product Design and Development, and Python.

Emad Al-Ramlawi is a CS-Infra Team Lead at Plotly, with over 10 years of experience as an IT professional. He enjoys working with his talented teammates to create positive impact for the company.

Jassem Edhel Puri is a Customer Success Infrastructure Engineer with a background as a DevOps engineer and Linux specialist for over five years. He continually seeks to integrate his passion for science, automation, and electronics into his work and personal projects.

John Comptom is an Onboarding Specialist at Plotly, with a background in healthcare ethics. He's passionate about enabling customers to accomplish their goals and troubleshooting along the way.

Runqi Han is a Customer Success Solution Engineer. With a background in Engineering and Data Science, he is passionate about assisting customers with data GUI-building and workflow automation.

Shahzeb Afroze is a Customer Success Engineer at Plotly, with a background in full-stack development and consulting. He is dedicated to helping clients apply data analytics to solve business challenges. Shahzeb is driving to make a meaningful impact by taking ownership of important projects at the company.

Andres Rodriguez is a Customer Success Engineer - Solutions at Plotly, with a background in civil engineering and computer science. He has extensive experience as a software developer and data analyst. He enjoys helping people solve challenges faced during app development.

Rob Calvin is a Technical Account Manager at Plotly. During his tenure at the company, he has become a key point of contact for customers, guiding their journey to understand Dash and how it transforms data science. Rob is well-versed in Python and has expertise in both front-end and back-end app development. Prior to Plotly, Rob worked in the environmental sciences industry, where he focused on international sustainability.

Mike Razo is the Director of Technical Account Management at Plotly, where he works to ensure that customers can make the most of Plotly’s powerful visualization platform, delivering clear, customized analytics. Previously, Mike worked at Zipcar and the U.S. Department of Transportation, working on a wide range of projects in analytics, data engineering, and data-driven modeling.

Eliza Wallace is a Customer Success Engineer at Plotly. She enjoys problem solving over a wide range of industries and is passionate about helping clients with their projects, taking a human-centric approach. Her background is in Cognitive Science and Computer Science.

The Customer Success team’s reporting companion to slice and dice support tickets by agent, customer, and number of issues, and then quickly create a personalized slide deck with comprehensive information to save time on report generation.

This dashboard gives the Customer Success team a high-level overview of open tickets, response times, and customer info for speedy and thorough issue resolution.

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

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

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.

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

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

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

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

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.

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

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

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

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.

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

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.

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.

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.

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 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 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.

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

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

Plotly Customer Success

Dash App Support

Chelsea Douglas

Chelsea Douglas

Celia López Monreal

Celia López Monreal

Taylor Hale Robert

Taylor Hale Robert

Emad Al-Ramlawi

Emad Al-Ramlawi

Jassem Puri

Jassem Puri

John Compton

John Compton

Runqi Han

Runqi Han

Shahzeb Afroze

Shahzeb Afroze

Andres Rodriguez

Andres Rodriguez

Rob Calvin

Rob Calvin

Mike Razo

Mike Razo

Eliza Wallace

Eliza Wallace

Internal Projects and Apps

Slide Maker

KPI Tracker Dashboard

See Dash in action.