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

June 26: Production-ready apps for your team with Plotly Studio. Reserve your webinar seat.

Reserve your spot for the Dash Enterprise 5.2 launch event!

Announcing Plotly Cloud: a drag-and-drop way to publish, manage, and share Dash and Plotly Studio apps with your team or the world.

Plotly Cloud: The Best Way to Publish Your Dash Apps

Secure OAuth in Dash apps. Learn how Dash Enterprise supports pass-through authentication to APIs like Databricks, BigQuery, and more.

OAuth for Dash Enterprise: Sophisticated Data Security for Plotly Dash Apps

Chris Parmer, Plotly co-founder and author of Dash, announces the launch of Plotly Studio, an AI-native desktop app for generating data apps and visualizing data.

Introducing Plotly Studio

Celia Lopez, Customer Success Engineer at Plotly, shares her toolkit and practical examples for building reliable data apps with logging and Dev Tools for debugging within Dash and the browser.

Why Logs and Dev Tools Are the Key to Reliable Dash Apps

Learn about the flow of data used by AI from training to deployment, including real-time, contextual, and user data that powers modern AI applications.

How Data Powers AI from Training to Real-World Applications

The limitations of traditional BI tools make it hard to meet modern analytics needs. Learn how AI and data apps offer a more dynamic alternative.

Shatter Business Intelligence Limitations with Data Apps in the AI Era

Explore how agentic analytics uses AI agents to monitor KPIs, generate insights, and trigger actions autonomously in modern data workflows.

An Introduction to Agentic Analytics

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 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 Package Manager Quirks a Year Into Adoption

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

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 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

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

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

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.

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

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 Studio is an AI-native desktop app for generating Dash data apps in minutes with no code. Join the waitlist for early access to Plotly Studio.

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

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

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

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.

 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

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.

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

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

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

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

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.