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

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NHS Foundation Trust Unlocks AI Healthcare Potential with Dash Enterprise

Happening this week: Plotly is at Data Council in Oakland. Join us!

Reserve your spot for the Dash Enterprise 5.2 launch event!

Natural Language Processing and customer segmentation from consumer complaints.

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

Latent Dirichlet Allocation performed in Python across a scientific paper dataset.

https://github.com/plotly/dash-sample-apps/tree/main/apps/dash-cytoscape-lda

https://research-analytics.herokuapp.com/

Explore topics, authors, and papers across several journals.

https://github.com/jhupiterz/research-analytics/blob/main/README.md

If Dash can handle AI and large amounts of data, natural language processing (NLP) is the 'natural' next step. Explore how to put Dash to the test for NLP.

https://plotly.com/examples/natural-language-processing/

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

Discover data applications for production with Plotly Dash. Put data and AI into action with scalable, interactive data apps for your organization.

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

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

This video introduces Plotly App Studio as a fast and flexible environment for building and deploying interactive Python data apps.

Easy-to-follow video tutorials and practical insights from data science experts to help you master Plotly for interactive Python data apps.

Plotly Videos | Explore, Learn, Visualize

Learn how Dash Enterprise 5.6 helps teams scale data applications, manage cloud costs, and improve data access across the organization.

Everything from geospatial analytics to finance and unstructured data workflows: Dash apps handle massive datasets and deliver high performance.

This video introduces how Plotly AI Chat helps users explore and visualize data faster with natural language prompts, a dataset, and generative AI.

Alex Martinez from RA Capital explains how Dash has replaced static tools like spreadsheets with real-time, interactive data apps.

How RA Capital replaced spreadsheets with Plotly

Watch the video to follow along and hear from the Cox Auto team on modernizing auction operations with scalable data apps using Dash Enterprise.

How Cox Auto drives automotive operations with Dash Enterprise

Access a curated selection of user stories, white papers, and how-to guides from data science experts and industry leaders. Start your data app journey today.

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

Jeff Butler from CIBC talks about using Plotly Dash for financial analytics, managing credit and funding risk related to over-the-counter derivatives.

Plotly Virtual Hangout - Jeff Butler from CIBC

Watch how Cox Automotive turned to Dash Enterprise to solve a critical capacity planning problem across its 50-plus auto auction sites.

Cox Automotive on capacity planning with Dash Enterprise

A look at Dash Enterprise Design Kit, a framework to standardize the appearance of your data apps, making it simple to personalize apps without CSS.

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

Austin Kiesewetter, a software engineer at Martin Engineering, shared his journey from entrepreneurship to building open source tools for the Plotly community.

Plotly Virtual Hangout - Austin at Martin Engineering

This video introduces global environmental variables and horizontal pod scaling in Dash Enterprise to improve control, customization, and scalability.

Global environment variables and horizontal pod scaling

Watch how Somerset NHS Foundation Trust (SFT) enabled AI across its operations using Plotly Dash and open source Python libraries.

Enabling AI in an NHS Acute Trust with Plotly

Get a full walkthrough of Plotly App Studio, the data app builder that’s changing how teams develop and deploy interactive data apps.

App Manager is the control center where users can configure data sources, define authentication, and access tools like App Studio and Design Kit.

Quick intro to Dash Enterprise App Manager

We demonstrate how to transform a Jupyter Notebook into a shareable Python data app using App Studio in Dash Enterprise.

Go from Jupyter Notebook to Python data app fast

Dash Enterprise and open source Dash make it possible for data teams to harness these models without needing web development expertise.

Plotly App Studio is the easiest way to transform static data science notebooks into branded, interactive data apps, with AI.

Quick intro to Dash Enterprise App Studio

In this walkthrough, Nathan from Plotly demonstrates how to create an interactive data app from a Jupyter Notebook, using App Studio within Dash Enterprise.

Add interactivity to your Jupyter Notebooks and Python data apps

The keynote for Plotly’s summer launch event shares the company’s mission to make data apps accessible with better analytics, collaboration, and deployment.

This video tutorial demos the development of two Dash apps powered by the DBRX large language model. We'll share how to integrate DBRX into a Python data app.

Data apps in Python with Plotly Dash and DBRX LLM

Explore the table editor and transform library to shape and analyze data interactively before visualizing it, while still editing Python code.

Tutorial: Data shaping and transformation in App Studio for Dash Enterprise

We highlight how Plotly continues to evolve based on direct feedback from its global community of data and AI professionals.

Data and AI today — enhanced enterprise connectivity

The Kansas City Chiefs analytics team shared how they use Dash Enterprise to power real-time event operations through custom sports analytics.

How the Kansas City Chiefs use Plotly Dash Enterprise

App Portal is a centralized place to access, interact with, and act on their data through applications built on Dash Enterprise.

Quick intro to Dash Enterprise App Portal

This video introduces Dash Enterprise 5.4, focusing on App Studio and how it enables faster, more customizable development of interactive data apps.

Plotly App Studio — data apps for everyone

Meet the Plotly AI Code Assistant, your new coding co-pilot to write and edit Dash code with intelligent autocomplete faster than ever.

Take the product tour to experience Plotly Dash Enterprise, a platform for building production data apps in Python, assisted by AI.

A recap of Plotly Dash Enterpise 5.5, focused on enhancing data connectivity, improving app performance, and supporting large datasets.

Data connectors and App Studio in Dash Enterprise 5.5

Andrew Schutte, Senior Data Scientist for the Kansas City Chiefs, shares his journey from industrial engineering to leading data initiatives.

Plotly Virtual Hangout - Andrew from Kansas City Chiefs

Nathan Drezner shares updates for Dash 3.0 with new features and performance improvements perfect for all Dash developers and component creators.

Watch a video tutorial on how to customize the look and feel of your data apps using themes and styling tools built into Plotly App Studio. 

Exploring Themes and Styles in App Studio

Chris Parmer, Chief Product Officer and co-founder of Plotly, walks through Plotly’s journey and vision for shipping data apps.

Plotly’s story — data apps for everyone

 Watch a detailed walkthrough of building a production-ready retrieval-augmented generation (RAG) Python app data using Dash.

Justin Andrews from Shorelight shares how his team uses Dash Enterprise to support international student enrollment and deliver powerful analytics tools.

Data Science market needs and customer insights

Matt Brown, product manager at Plotly, breaks down the new AI chat feature built into App Studio that cuts down the time it takes to build data apps.

A smarter way to build data apps with Plotly AI

In this video, we introduce App Studio: the result of years of working with enterprise teams to streamline how Python data apps are developed and deployed. 

Build faster Python data apps with Plotly App Studio

The founder of Broadband Insights shares how his team uses Plotly Dash Enterprise to build and deploy telecom analytics for broadband providers. 

Custom telecom analytics for rural regions

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

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

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

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.

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.

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.

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.

See how Plotly Dash Enterprise compares to frameworks like Streamlit when it comes to scaling, security, and flexibility.

See how Dash Enterprise Compares to Streamlit

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.

Learn about the uv package manager, its definition and benefits, and how to approach issues and quirks in your Python workflows when using this tool.

uv Python Package Manager Quirks a Year Into Adoption

Understand the differences between BI and AI in analytics. See how the limitations of traditional BI tools can be overcome with AI and data apps.

AI vs BI in Analytics: What’s the Difference?

Learn the basics of AI in data science workflows to speed up and generate Python code, automate data cleaning, and build production data apps.

Practical Guide to Using AI in Data Science Workflows

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

Designed specifically for the AI era, Dash Enterprise 5.7 enables organizations to build smarter, safer data applications with efficiency.

Elevate Your Analytics: Plotly Dash Enterprise 5.7 Launch

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

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.

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

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

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

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

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 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!

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

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 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

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? 

Follow Mingo's step-by-step guide to build Python data apps with AI that easily transforms your data into interactive, real-time insights.

How to Build Real-Time Python Data Apps With AI

Find the best Streamlit alternatives to build production-grade data apps in 2025 with this expert guide backed by data science community feedback.

Best Streamlit Alternatives for Production-Grade Data Apps in 2025

Learn how to maximize data science ROI with AI. See how real teams use AI to reduce costs, speed up development, and turn data into measurable value.

How To Effectively Maximize Data Science ROI With AI

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

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

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

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

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

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

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

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

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.

Natural Language Processing

Bank Consumer Complaints

LDA Topic Analysis

Research Analytics