Plotly is based on Tioh’tia:ke, commonly known in English as Montreal Island, in Kanien’ke-há:ka, the “Place of the People of the Flint” (the Kanien’kéha).

Plotly is committed to making the tech industry more accessible to people from different cultures, as well as using and encouraging the use of our technology for anti-racist efforts. For our complete land acknowledgement and resources to learn about settlement and contribute to Indigenous activism, visit our About Us page.

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NHS Foundation Trust Unlocks AI Healthcare Potential with Dash Enterprise

Elevate your analytics with Plotly Dash Enterprise 5.7 for smarter, safer data apps on April 8 @ 12PM ET.

Reserve your spot for the Dash Enterprise 5.2 launch event!

Plotly's VP of Markting, Domenic Ravita, explains how Plotly AI is a set of AI-enabled capabilities helping data teams analyze data faster and create production-quality, interactive Python data apps with Plotly.

What is Plotly AI?

Read how Plotly's Dash Enterprise Onboarding Team transforms beginners into Dash app pros. Learn deployment, authentication, and data workflow tips!

Onboarding to Dash Enterprise: Where Cutting-Edge Data Applications Meet Hospitality

Read how team Plotly builds internal customer success data apps and automation with Dash Enterprise to better serve customers with efficiency.

How Plotly's Customer Success Team Uses Dash Enterprise to Improve Efficiency

Read how engineers analyze data, detect defects, and optimize production for semiconductors in the automotive industry, with Mike Purtell.

Behind the Scenes of Semiconductor Testing and Data Visualization

We’ve launched an initiative to celebrate Plotly Champions as stalwarts of the 25,000+ strong Plotly Community. Celebrate this launch with us.

A Tribute to the Plotly Community Champions

The latest release of Dash includes a new hooks system, an easy way to tell Dash to run functions at a certain point in a dashboard's lifecycle.

A New Hooks System for Dash

Learn how typed array support in Plotly.js makes it easier to move data into the Plotly renderer with faster serialization and better compute and memory performance.

Cutting Render Times in Half: Inside Plotly’s Latest Performance Update

Read all about the latest iteration of our keystone offering, Dash Enterprise 5.6, as well as the hefty updates to our open source libraries.

Dash Enterprise 5.6 Release: Build Data Apps Smarter With Plotly AI

Enjoy a recap of the brightest moments and our hopes for the future of data science as we head into the holidays. Happy holidays from your friend, the Plotly peregrine.

Holidays treats, presents, and wishes from the Plotly peregrine!

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

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

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

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

Range Charts in Plotly

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

Decoding genomes with cogent3 + Plotly

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

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

Discover how Jeff Butler, Executive Director at CIBC, uses data science and AI to manage portfolios in financial services with Plotly Dash. 

Exploring Data Science’s Impact on Portfolio Management in Finance

We’re thrilled to announce that Plotly.py, our graphing library for #Python, has surpassed an incredible milestone: 500 million downloads!

Celebrating 500 Million (and counting!)

Read about the next minor release of Plotly.js and Plotly.py, where Plotly is transitioning to MapLibre for better performance and stability.

Plotly Is Switching to MapLibre

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

How Autotickangles Improves Axis Label Readability

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

Plotly Ships: Summer Release 2024

Data apps visualize, manipulate, and derive data insights through an interactive user interface — read the complete guide for practical examples.

What is a Data App? Complete Guide and Industry Examples

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

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

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

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

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

In this edition of Dash Club, Chris addresses how Plotly is thinking about generative AI and LLMs within the changing data science landscape.

Chris' Reflections on GenAI Dash Apps

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?

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

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

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

Introduction to Data Science in Finance

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

How to Keep Your Data Safe With 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

Learn how data science fits into a digital marketing workflow with Dash for the front end and advertools for underlying functionality.

Automating and Streamlining Digital Marketing Workflows with Plotly and Dash

Testing functions is an essential part of building robust Dash applications. Through this blog, we've aimed to demystify unit testing, offering practical examples and strategies to help you get started.

Building Unit Tests for Dash Applications blog

By leveraging these best practices and the provided code, you can harness the power of Sankey Diagrams to gain insights from data.

Deep Dive on Sankey Diagrams

Learn how the Plotly Professional Services team leveraged Polars into a Dash app architecture with 65 million rows and 25 columns.

How Polars Can Help You Build Fast Dash Apps for Large Datasets

Learn strategies to effectively visualize geospatial datasets in data apps, specifically for vector, polygon data.

Performance Optimizations for Geospatial Dash Apps

Follow along with Plotly Professional Services team member, Anna Riley, as she visualizes her personal Strava data with Dash. Anna extended her app to benefit the Strava community in just two weeks.

Reflections from an Athlete — Dash feat. Strava

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

The combined potential of Matplotlib, Python, and Dash empowers developers to build engaging web apps.

Creating an Interactive Web App with Matplotlib, Python, and Dash

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

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.

Top 10 Python Libraries

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.

How Python Can Help with Excel

Generating Excel reports can be tedious & time-consuming, but there’s a solution. Automating your reports using Python.

Automate Excel Reports with Python

Blog

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

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

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

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

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

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 | Data App Platform for Python

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

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

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

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

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

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.

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

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

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

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

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

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

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

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

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

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

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

Sunsetting Chart Studio Cloud User Accounts

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

Dash Enterprise for Python vs Common BI Software

Learn how Dash, Posit (Shiny), and Streamlit compare as low-code UI layers for data apps. See the differences in architecture, deployment, user experience, and more.

How do Dash, Posit (Shiny), and Streamlit compare?

Learn how low-code UI layers like Dash, Posit (Shiny), Streamlit, and Bokeh compare in web protocol, architecture, user experience, licensing, deployment, and more.

How do Dash, Shiny, Streamlit, and Bokeh compare?

Deploy front-ends for machine learning back-ends like PyTorch, Keras, and TensorFlow with custom Life Sciences templates in Dash Enterprise.

Compare Dash Enterprise, RStudio Connect, Anaconda Enterprise, and Streamlit for Teams as deployment platforms. See differences in authentication and licensing.

Dash Enterprise vs RStudio, Anaconda, Streamlit

Dash is the solution for operationalizing your AI/ML initiatives, with GPT-3, Hugging Face Transformers, UMAP, and YOLOv3. Check out latest Dash-AI projects.

Plotly AI helps data analysts build beautiful, interactive data apps. Use AI for data app development that's faster, easier, and more efficient.

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

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

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

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

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

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

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

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.

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

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 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.

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.

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 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.

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 Dash applications that incorporate ChatGPT and generative AI in Python.

ChatGPT & Generative AI Dash App Examples

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

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

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 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 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 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.

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

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