In this newsletter:

• June Webinar: Introducing Dash MCP + Building Dash Apps with Coding Agents
• Webinar Recap: Plotly Studio Enters the Agentic Era
• Plotly App Challenge: FIFA World Cup
• Upcoming Plotly Events
• Resources

Introducing Dash MCP + Building Dash Apps with Coding Agents

On June 23 at 11am EDT, Plotly’s engineering and professional services teams are hosting a session on Dash MCP and building production Dash apps with AI coding agents. Expect a deep dive into how the Dash MCP server works, real-world use cases, and a live demo.

If you’re already building with Dash and want to see how coding agents like Claude, Cursor, and Codex can help your workflow, you won’t want to miss this one. Reserve your spot.

Plotly Studio Enters the Agentic Era

This week, Plotly’s Matt Brown walked through the new Plotly Studio agentic workflow. He showed how the tool:

• Runs through many steps of analysis autonomously
• Puts data and charts front and center, backed by code
• Enables one-click deployment and easy sharing

Watch the on-demand webinar!

Plotly App Challenge: FIFA World Cup

Are you excited for the FIFA World Cup? We are!

Join the Plotly community in the latest app challenge: create an app that showcases the World Cup statistics. Connect your app to a data source that updates daily, publish your app to Plotly Cloud, and post on social and the Plotly forum.

Winners will get a cash reward. Submit your app by June 14. Good luck!

Upcoming Plotly Events

Mark your calendar for some upcoming events to meet the Plotly community or team in-person!

• June 4: London Plotly Meetup
• June 15–18: Databricks Data + AI Summit
• June 18: Toronto Plotly Meetup
• June 25–26: Reuters Oil & Gas Event
• June 30: Montreal Plotly Meetup

Resources

Explore blog posts and videos covering key topics for modern data science teams.

• Plotly Studio: The agentic workflow where your data is front and center
• Standing on Many Shoulders to Design Effective Interactive Graphics
• Publishing analytic results in Plotly at resource-constrained organizations

Thanks for reading our newsletter!

That’s a wrap on May. Join us in June for the next round of updates.

Plotly Newsletter, May 2026 was originally published in Plotly on Medium, where people are continuing the conversation by highlighting and responding to this story.

A Decade of Open-Source: A Plotly Community Gathering & Party

Join us in San Francisco for a drop-by day of food, drinks, and talks to celebrate a decade of open-source with Plotly. We’ll hear from friends and leaders in data science, open-source, and policy. We’ll hear from partners who have been part of our journey. We’ll reflect on the past, explore new horizons, and appreciate the community that has made it all possible.

Register to join!

Plotly Studio and Dash Highlights

Below you will find remarkable data apps built by the community and Plotly staff members with Plotly Studio and Dash.

👉 AI Energy Consumption App built by community member, Aditya Shukla, using Plotly Studio. This app demonstrates how model architecture, hardware choices, training strategies, temporal patterns, and optimization decisions impact energy efficiency in neural network training.

👉 New York Oil and Gas Production App built by Plotly staff members, using Dash. This is a comprehensive overview of oil and gas wells across the state of New York from the 1960’s.

👉 Overnight Index Swap (OIS) MidCurves Bonds dashboard built by community member, Mike Kipnis, using Dash. This is an example of an interactive utility to update OIS curves, calculate the mid-curves, and setup and price bonds.

👉 Super Bowl History Dashboard built by Plotly staff members, using Plotly Studio. An analysis of Super Bowl championships from 1967 to 2025, featuring quarterbacks, coaches, MVPs.

🙏 Thank you everyone for creating these apps and submitting them to the Plotly Examples Page.

See more Dash and Plotly Studio apps or share your own in the community forum’s Show and Tell tag. If you would like your app to be considered for the next edition of the Dash Club newsletter or the Dash Explore Page, please submit it by clicking the Share Your App button.

Plotly IBCS Challenge Winners

Thank you to all the community members that participated in the Plotly — IBCS challenge. We loved seeing the variety of submissions, and the quality was phenomenal.

After reviewing all the submissions, the Plotly team has selected the top 3, 🥁…

🥇 1st place goes to Deepa for the prompt she created to replicate the IBCS 09 Chart. The final chart created by Plotly Studio was almost identical to the original one.

🥈 2nd place goes to ChartCrimes for the Plotly Studio prompt that replicates the fourth IBCS chart. Although there were some overfitting results due to the detail of the prompt, the final chart was very similar to the original.

🥉 3rd place goes to Eszter for the prompt written to replicate the 07 IBCS chart. Although the months were labeled on top of the chart instead of the bottom of the chart, this line chart is fairly similar to the original chart.

Congratulations to our winners and thank you again to all the community members who participated in this challenge.

Join our next challenge on Power BI with Plotly!

Plotly Cloud Teams

As a reminder, the quickest and easiest way to publish and share your Dash apps with others, is through Plotly Cloud. For those participating in the Power BI Plotly challenge, you will need to publish your app to Plotly Cloud as well. When you are finished building your Plotly Studio app, click the publish button, located in the top right corner. If you’re building a Dash app, simply install dash cloud (pip install “dash[cloud]”) and click the “Plotly Cloud” → “Publish App” buttons.

Plotly Cloud recently added the capability to work in teams within the teams workspaces. For example, you might want to collaborate with your team members in your data analytics department. Simply create your team and invite your colleagues via email address. Those colleagues without Plotly Cloud accounts will see your Team as soon as they sign up to Cloud and will immediately be able to access everything shared with them in the Team.

To learn more about using Plotly Cloud and Teams, read Plotly Product Manager, Nathan’s, article.

In addition, a few more recent updates expand the capabilities of Plotly Cloud:

• Published apps can use Python libraries to connect to data that lives outside of Plotly Cloud (read more).
• Enhanced Revision History Tracking. Now you are able to know exactly who made changes to your projects with new uploader information displayed in revision history
• There is better onboarding for anyone you invite with intro banners
• You can access Dash Enterprise (DE) documentation using Cloud for Enterprise accounts or DE accounts

Finally, check out the Plotly Cloud roadmap to view features that we’ve implemented, features that are in progress, and those that have been requested.

Version Check

• Dash Enterprise Platform 6.0 (docs)
• Dash Open Source Framework 4.1.0 (changelog)
• Dash AG Grid 33.3.3 (changelog)
• Plotly.py 6.7.0 (changelog)
• Plotly.js 3.5.0 (changelog)

Have a great week!

Adam (@adamschroeder)

Dash Club 21: Open-Source Celebration, Plotly Studio and Dash Highlights, Plotly IBCS Challenge… was originally published in Plotly on Medium, where people are continuing the conversation by highlighting and responding to this story.

If you’ve been curious about what Plotly can do beyond our open-source library, this is your month to find out.

In this newsletter:

• Upcoming Webinar: Getting Started with Plotly Studio
• Webinar Recap: We Charted Rob’s Spotify History
• PlotlyBI — Plotly App Challenge
• Plotly at the Gartner Data & Analytics Summit 2026
• ​​Plotly Studio Data Sources
• Plotly Dash Example Apps
• Resources

📊 Getting Started with Plotly Studio

On April 1 at 11am EDT, join us for a free guided walkthrough of the Plotly ecosystem with our engineering experts. We’ll cover core Plotly Studio features, run live demos with real datasets, and answer your questions live!

We’re offering this support for free, to everyone, because we want every Plotly user to feel confident building with the full power of our newest products. Submit your questions when you register and we’ll address them during the session. Register now!

🎼 We Charted Rob’s Spotify History

Last week, Plotly’s Sam Tripp built a live Spotify analytics app using plain English prompts in Plotly Studio, then used Claude Code to integrate into it Dash Enterprise Workspaces to take it from prototype to production-ready.

See the complete AI-assisted workflow from data connection to deployed app, while Rob Calvin explains his questionable 2019 playlists. Watch on-demand!

📊 PlotlyBI — Plotly App Challenge

We’re running a new community challenge, and this one’s for anyone who’s ever wished their Power BI data could power a richer, more interactive app.

The challenge: Connect a Power BI semantic model to a Dash or Plotly Studio app, build something that tells a compelling story with the data, and submit it for a chance to win.

Not sure where to start? We’re providing the Microsoft AdventureWorks Sales dataset as a ready-to-use .pbix file (just import it into your Power BI workspace and connect it to your app), or bring your own semantic model.

Full details + sample code in the community forum. Submit your creation by May 3 11:59pm EDT for a chance to win a cash prize.

If you need more help on how to connect Plotly Studio directly to your existing Power BI semantic models, check out our webinar, “Take Your Power BI Models Beyond the Static Dashboard”.

💼 Plotly at the Gartner Data & Analytics Summit 2026

We spent last week at the Gartner Data & Analytics Summit in Orlando, where the most common reaction when people learned Plotly is the most widely used Python charting library was: “Oh, that’s you!”

Turns out a lot of senior data leaders have history with our open-source tools but didn’t realize we’ve evolved into an AI-native platform.

The line that started the most conversations? “Your BI isn’t broken. It’s just from 2016.” At a conference where frustration with Power BI and Tableau was hardly a secret, attendees were particularly interested in how Plotly Studio connects directly to Power BI semantic models, preserving data investments while unlocking the customization and flexibility traditional BI tools can’t provide. Thank you to everyone who stopped by and see where we’ll be next.

⚙️ Plotly Studio Data Sources

If Python can connect to it, Plotly Studio can visualize it. See how you can connect six of the most popular data sources to Plotly Studio.

Google BigQuery

Google BigQuery is a serverless, highly scalable cloud data warehouse designed for fast SQL queries on massive datasets. Connecting to Google BigQuery requires a service account JSON key generated from the Google Cloud Console.

Oracle

Oracle Database is a multi-model database management system known for its scalability, security, and enterprise features. Connecting to Oracle Database requires your host address, port, service name, and login credentials.

PostgresSQL

Connecting PostgreSQL requires your host address, port, database name, and login credentials. Follow these steps to connect to your PostgreSQL data and visualize it with Plotly Studio.

Microsoft SQL Server

Microsoft SQL Server is an enterprise-grade relational database management system. Connecting to Microsoft SQL Server requires your host address, port, database name, and login credentials.

Motherduck

MotherDuck is a serverless cloud analytics platform powered by DuckDB. Connecting MotherDuck requires a MotherDuck access token, which can be generated in a few steps from your MotherDuck dashboard.

Snowflake

Connecting Snowflake takes about five minutes. Before starting, you’ll need your Account Identifier and login credentials, plus a quick check with your Snowflake admin to confirm which authentication method your organization uses.

🧑‍💻 Plotly Dash Example Apps

Wondering what’s possible with Dash and Plotly Studio? Now there’s a better place to find out.

We’ve revamped our Examples Apps page with a curated gallery of real apps built across industries, from genomics and clinical research to finance, sports analytics, energy trading, and media. Filter by industry or feature (3D modeling, AI/ML, live updates, maps, and more) to find something relevant to what you’re building.

📚 Resources

Catch up on blog posts and user stories, deep diving into key topics for data science teams:

• Updates to Dash Design Kit for Good-Looking Data Apps
• Pre-Compute Once, Serve Instantly with Dash Enterprise @schedule Decorator
• Plotly Dash Embedded: Build Data Apps, Deploy Anywhere
• The Best Way to Publish and Host Your Plotly Dash Apps in 2026
• A Guide to Data Context in the Age of AI
• Two New Plotly.js Features That Change How You Build Multi-Panel Charts

👋 Thanks for reading!

Thanks for joining us for this month’s round-up. Stay tuned for more exciting updates from Plotly next month.

Plotly Newsletter, March 2026 was originally published in Plotly on Medium, where people are continuing the conversation by highlighting and responding to this story.

Whether you’re building solo or scaling across an enterprise, this month’s updates were built to meet you where you are. Here’s everything that shipped.

In this newsletter:

• Upcoming Webinar: Take Your Power BI Models Beyond the Static Dashboard
• Introducing Dash Enterprise 6.0: Production-Ready Data Apps at Enterprise Scale
• A New Era for Collaborative Analytics
• Dashboard Demons
• Plotly IRL: Gartner Data & Analytics Summit 2026
• Resources

📊 Take Your Power BI Models Beyond the Static Dashboard

Invested heavily in Power BI semantic models but hitting walls with customization, AI transparency, and viewer costs?

On March 11 at 11am EDT, Plotly’s Matt Brown and Adam Schroeder will demonstrate how Plotly Studio connects to your existing Power BI data and unlocks what you’ve been missing: AI-assisted app building with production Python code, unlimited sharing without licensing headaches, and full control over your UX and branding.

If your team has maxed out what Power BI can do, this is your practical roadmap forward. Register now!

🚀 Introducing Dash Enterprise 6.0: Production-Ready Data Apps at Enterprise Scale

Dash Enterprise 6 is here, and it changes how data teams build and ship production applications.

See how the Kubernetes-native Dash Enterprise 6 automates deployment so your team goes from code to production in minutes, not weeks. Pair it with Plotly Studio, and you can build fully functional Dash apps from natural language and your data.

If your team is hitting bottlenecks between data science and production, this is worth an hour of your time. Watch on-demand!

☁️ A New Era for Collaborative Analytics

This month, we were overjoyed to share that Plotly Cloud now supports team collaboration, giving you enterprise-grade access controls for working on data applications with colleagues, partners, and stakeholders.

Data apps shared across teams with proper permissions become organizational intelligence rather than isolated projects. The combination of Plotly Cloud’s collaboration features and Plotly Studio’s AI-assisted analytics makes it possible to build analytical assets that move freely across your organization while maintaining security. Sign up for Plotly Cloud to see for yourself (it’s free).

😈 Dashboard Demons

This is a fun one!

We’ve launched an interactive quiz that diagnoses which demon is haunting your BI dashboards.

Discover whether you’re battling the Refresh Demon, Styling Gremlin, Update Imp, or one of several other dashboard antagonists 👻. After completing the quiz, you’ll receive a custom guide tailored to defeating your specific demon. Take the quiz here.

💼 Plotly IRL: Gartner Data & Analytics Summit 2026

Plotly is heading to Orlando for the Gartner Data & Analytics Summit, and we’d love to see you there!

Stop by Booth #435 to meet Ian, Mingo, Matt, and John, get a live demo of Plotly Studio, and see firsthand how teams are breaking out of closed BI environments to build production-ready data apps with Python and AI. Whether you’re navigating licensing costs, hitting the ceiling on dashboard customization, or looking to operationalize AI your stakeholders can actually trust — we have a lot to show you.

📚 Resources

Catch up on blog posts and user stories, deep diving into key topics for data science teams:

• The New Plotly Studio: AI-Native Analytics Built for Production
• Dash Core Components Gets a Design-Driven Refresh with Dash 4
• Publishing Dash Apps Across Your Enterprise With Plotly Cloud
• A New Era for Collaborative Analytics

👋 Thanks for reading!

Stay tuned for more exciting updates from Plotly next month.

Plotly Newsletter, February 2026 was originally published in Plotly on Medium, where people are continuing the conversation by highlighting and responding to this story.

What do you do at Plotly?

I spread the good word about Plotly! As the Business Development Manager, I lead a team that engages data science, engineering, and analytics leaders to proactively educate the market on the value of Plotly. We start conversations that lead to better solutions for data teams, and strategically bring the Plotly team in at the right time in those conversations.

What three words describe your Plotly experience?

Creativity, growth, curiosity.

What’s your favorite work-from-home snack or beverage?

I’m really into sardines lately. Judge if you must, but they are very high in protein! My pantry has about four different varieties currently stocked.

If you were to describe Plotly as a color or a flavor, what would it be and why?

The first thing that comes to mind is bubble gum ice cream. Partly because the bubble gum reminds me of our logo, but also because there’s no shortage of exciting projects when you’re working at Plotly. I’ve gotten to do so many different things here that I wouldn’t have been able to do at other companies!

What’s your favorite part about working at Plotly?

No two conversations are alike — I get to support customers from small startups to Fortune 500 companies, all over the world, in every industry across the board. As a curious person who loves learning, it really scratches the itch.

How has Plotly shaped your perspective on remote work or data visualization?

I love Plotly’s remote work approach. Plotly hired me while I was traveling the country, living in a van. It was refreshing to work at a company that supported that. I’ve settled into a “real” home now, but that first year was always a fun game of “Where’s Waldo (Erica) today?!”

Most memorable team activity?

A member of our Sales Engineering team led a Social Club virtual gathering a while back, where everyone brought their dogs, and that was a good time. I vote for more animals on Zoom calls.

What’s your favorite hobby?

I just started playing a monthly poker night in my neighborhood — I’m hoping to sharpen those skills!

Proudest accomplishments at Plotly?

I’m very proud of helping Plotly grow from initially only an inbound sales team to an outbound growth machine. We’ve been able to transition to the “hard part” of sales, which is, instead of sitting back and waiting for leads to come to us, we go out and find people who need to know about Plotly but never would have otherwise found us on their own. It’s not for the faint of heart; my team has to weather a lot of rejection, but it fosters a really supportive environment because we have to encourage each other through the challenge — celebrate together when we win and not take ourselves too seriously when we fail.

What’s one Plotly feature you wish more people knew about?

PLOTLY STUDIO. Hands down. AI-native data analytics is a very exciting place to be right now, and it’s so cool that someone like me, who really has no technical chops, can build a dashboard that (a year ago) would have taken a skilled Python developer hours, if not days.

The goal ahead now is getting that news about Plotly Studio to reach beyond the technical audience we’ve long been known for, and out to a whole new category of non-technical users that can now build pixel-perfect Python-backed data apps with ease.

What are you most excited about for the future of Plotly or your team?

It’s hard to think about “the future” of anything tech-related right now and not land on AI in some way. It feels like the beginning of the internet all over again. I’m excited to see how AI accelerates the Plotly products as well as how it accelerates my team to have meaningful conversations with so many more people than we ever could have before.

I’m an “expert” when it comes to Plotly, but I have to translate the value to industries I don’t necessarily work in daily with a message that resonates with them. AI tools accelerate my learning about what matters to someone uniquely (visualizing financial data vs someone analyzing scientific research results) so that I’m not spamming them with outreach that lacks relevance.

How do you stay creative or innovative in your role?

I really think the best way to stay creative at work is to stay creative outside of work. When I’m not at my laptop 9–5, you can probably find me renovating some section of my house :) Working with my hands and using a different part of my brain gives me the balance to bring that creative energy back to Plotly.

What advice would you give to someone aspiring to work in Sales at Plotly?

The best salespeople don’t necessarily have the most sales experience. Don’t discount your knowledge, even if it’s not in sales. My first manager told me this when she hired me with no experience at all. She said she knew I would be good at business development because my time as a classroom teacher would help me communicate complex concepts in a simple way, my time as a whitewater rafting guide meant I would bring some fun and charm to my conversations, and my time as a fitness trainer meant I knew how to push hard and work toward goals.

If you’re self-motivated and you love helping people, you’ve got the stuff to work in Sales at Plotly.

Where is the next place you’d like to travel?

Japan is very high on the list! I’ve heard the food is top-notch (a very big part of travel for me). I’m a sucker for a good spa experience, and they’re known for onsens, and I’ve heard the culture is very kind, considerate, and values quality. It checks all the boxes, but that flight time has been holding me back. Maybe 2026 is finally the year to go — we will see.

Meet Erica Horn, Manager, Sales Development, at Plotly was originally published in Plotly on Medium, where people are continuing the conversation by highlighting and responding to this story.

In this newsletter:

• Upcoming Webinar — Meet Plotly Cloud: Dash Apps as a Team Sport
• The New Plotly Studio: AI-first business intelligence and analytics
• Meet the New Plotly Studio
• Plotly x IBCS App Challenge
• New resources to learn data viz & Plotly
• Resources

☁️ Meet Plotly Cloud: Dash Apps as a Team Sport

You’ve analyzed the data. Maybe run a few models. The insights are solid, your stakeholders are impressed, and now comes the question: how do we actually turn this into something everyone can benefit from?

Join us February 10 @ 11am EST for a webinar that shows you a better way: Plotly Cloud, our platform that transforms ad-hoc analysis into collaborative analytics workflows so your team can focus on finding insights, not wrestling with distribution.

Featuring a special guest: Dan Fink, VP of Engineering at BuildingLogiX, is joining us to share how his team shifted from siloed work to seamless collaboration in 5 months using Plotly Cloud. Real wins, real challenges, real lessons learned. Nathan Drezner, Plotly’s Technical Product Manager, will demo team workspaces, stakeholder collaboration features, and deployment workflows that eliminate the “how do we share this?” bottleneck.

If you’re working with Dash, then you don’t want to miss this one — save your spot!

🤖 The New Plotly Studio: AI-first business intelligence and analytics

Remember when data work was about discovery, not maintenance? When you spent your days uncovering patterns instead of troubleshooting broken pipelines and tweaking hex codes?

Our January 27 session revealed a different approach. We walked through Plotly Studio, our AI-powered analytics platform designed to handle the tedious parts so you can focus on what matters: the insights themselves.

In the recording, you’ll see real-time demonstrations of analytics that update automatically, dashboards that adapt to your needs with simple requests, and interactive reports stakeholders can explore independently. Watch on-demand now!

📊 Meet the New Plotly Studio

Business intelligence is fundamentally changing. The old playbook — static dashboards, rigid templates, weeks of development time — doesn’t match what’s possible today. Data analytics teams need always-on insights that support timely action, not just historical data reports and charts that take months to customize.

The latest version of Plotly Studio reflects this shift. It generates interactive, production-grade analytics apps and dashboards from your data in under a minute, dynamically connecting to any Python-accessible data source and beyond. AI writes clean Python code to build your dashboards, which you can then refine with natural language or edit directly. When you’re ready, publish to Plotly Cloud or Dash Enterprise with one click.

Plotly Studio handles the full cycle: data connection, exploration, dashboard creation, collaboration, and production deployment, all while maintaining the trust and auditability that code-based analytics provide.

As Chris Parmer, our CPO and Co-Founder, puts it: “BI vendors are raising prices while bolting on AI features that don’t match what’s possible now. That gap is only widening. We’ve built Plotly Studio for the new reality of BI and analytics.”

Read the full announcement and dive deeper into what’s new.

💼 Plotly x IBCS App Challenge

We’re kicking off 2026 with a new app challenge: create reusable prompt templates for IBCS chart types in Plotly Studio.

The International Business Communication Standards (IBCS) provide a universal framework for clear, consistent business charts, and we aim to harness Plotly Studio’s power to make these standards accessible to everyone. Your mission is to choose an IBCS chart from their official examples, recreate it in Plotly Studio with a similar dataset, and craft a comprehensive prompt that others can reuse. Submit your chosen chart type, an image of your Plotly Studio creation, and your complete prompt by end of day February 15, 2026 for a chance to win a cash prize

🤩 New resources to learn data viz & Plotly

Plotly Studio Benchmarks

Most AI data tools look impressive in demos. But what happens when you throw messy, real-world datasets at them?

We wanted to know the answer, so we built a benchmarking system to evaluate AI. Every day, Plotly Studio automatically generates dashboards from 111 diverse datasets — finance, healthcare, climate, sports, supply chain, and more — spanning simple CSVs to complex 100k-row files.

The result? A 99.1% success rate with a median generation time of 98 seconds. Browse our complete benchmark gallery to see exactly how Plotly Studio handles hundreds of real use cases. Every example includes the generated dashboard, the underlying dataset, and the Python code that powers it, so you can see precisely what you’re getting.

New Examples Page

We’ve redesigned our examples page with a cleaner look and easier navigation. Browse real-world data apps from organizations like S&P Global, Berkeley Materials Project, and the Kansas City Chiefs, filtered by industry or analytics use cases.

See what’s possible with Plotly across finance, healthcare, sports, machine learning, geospatial analysis, and more. Plus, check out our new Plotly Studio section for AI-powered apps built in under a minute.

Plotly University

We’re building Plotly University to teach data visualization and dashboard development best practices to the global community.

We’re creating learning resources across three categories: Plotly Studio tutorials, data visualization best practices, and industry-specific dashboard building.

Last Friday, our community kicked off this initiative by brainstorming and drafting initial content, including:

• How to build an NBA dashboard
• Migration-based dashboard analysis
• Market crash analysis
• Connecting DuckDB to Plotly
• Publishing Python data apps to the web

We’re looking for contributors to help shape Plotly University. This is a great opportunity to join the Plotly community, become a Plotly Ambassador, gain blog-writing experience, and enhance your dashboard skills. Interested? Email adam@plotly.com

📚 Resources

Catch up on blog posts and user stories, deep diving into key topics for data science teams:

• AI-Native Analytics Built for Production
• 9 Advanced Data Science Techniques with One Financial Dataset
• Plotly Achieves “Triple Crown” ISO Certification for Security, Privacy, and AI Governance
• Plotly Studio Data Sources: Connect to Anything
• Plotly Challenges Legacy BI Tools with the New AI-Powered Plotly Studio

👋 Thanks for reading!

Thanks for joining us for this month’s round-up. Stay tuned for more exciting updates from Plotly next month. Looking forward to a great 2026 with everyone!

Plotly Newsletter, January 2026 was originally published in Plotly on Medium, where people are continuing the conversation by highlighting and responding to this story.

In this newsletter:

• New from Plotly
• Rewind and Relive: Top Webinars of 2025
• 2025 Conference & Events Highlights
• Together with the Plotly Community
• New Blogs & Resources
• A Message from Plotly (with love!)

🤖 New from Plotly

Meet Plotly Studio and Cloud

Plotly Studio and Plotly Cloud, officially launched in September, give data teams a complete platform to build and share interactive analytics. With AI-assisted tools, users can automatically generate stunning, interactive dashboards and data apps in minutes, fully backed by production-grade Python code.

Connect to anything with Data Sources in Plotly Studio

Plotly Studio connects to virtually any data source that is reachable by Python, making it easy to detect patterns and uncover hidden insights across domains. By generating data connections dynamically, Plotly Studio writes the code necessary to authenticate, retrieve, and transform your data for visualization. It also creates credential forms for you and stores secrets securely without exposing them to the LLM. Try it out for free today!

Plotly achieves “triple crown” ISO certification for security, privacy, and AI governance

We recently achieved a major milestone: Plotly has been awarded certification status for ISO 27001 (Information Security), ISO 27701 (Privacy), and ISO 42001 (Artificial Intelligence). We’re pleased to be one of the first 100 organizations worldwide to hold this specific combination of standards. Learn more.

📺 Rewind and Relive: Top Webinars of the Year

In 2025, we hosted and were a part of 15 webinars this year — each one loaded with insights, deep dives, and expert perspectives. Settle in, grab some popcorn, and catch up on the highlights.

• Broadband Insights’ CEO Patrick Hutto shared how their custom data analytics platform, powered by Plotly Dash Enterprise, led to 50% faster customer installation times and significant operational cost reductions.
• We marked the debut of Plotly Studio and a change into a new, fluid workflow called ‘vibe analysis’ with expert guest speakers Michael Schrage and Brian Julius.
• Data teams consistently hit the same wall: strong analyses and apps slowed by publishing complexity. We walked through how a modern publishing strategy resolves those issues from start to finish.
• We closed off the year with exciting new updates for Plotly Studio: data connectivity, UX and workflow, working with specifications, chart exploration, and in-app reference docs.

🚀 2025 Conference and Event Highlights

In 2025, the Plotly team was packed with new places to be and old sights to see, with 9 in-person conferences in San Francisco, London, Atlanta, and New York City! If you’re ever curious about where the Plotly team has been or where we’re headed next, keep an eye on our events page.

• Plotly sponsored Gartner’s Data & Analytics Summit in London for the first time, and shared teams are building powerful, interactive data apps with Plotly AI in record time.
• We returned to the Open Data Science Conference (ODSC) East in Boston and had great conversations about Dash Enterprise with data analytics leaders
• Plotly team members Mingo, Carolina, and Ian attended Data Science Connect’s Collide, where a clear theme emerged: teams want faster ways to explore their data.
• In San Francisco, the Moscone halls were full again as Databricks’ Data + AI Summit started.
• Chris Parmer, Plotly’s CPO and Co-Founder of Dash, presented on vibe analytics at the AI Realized Summit.
• 8 global Roadshows brought the community together for hands-on app building and the latest Plotly innovations.
• Our first Vibe-a-Thon challenged users to create fast, creative data apps with Plotly Studio’s agentic AI.
• Join the Plotly Product Labs’ January 13 session to connect directly with the product team and help shape Plotly’s future.

🤩 Together with the Plotly Community

This year has been incredibly rewarding and fun for the Plotly Community!

• Thank you to the global Plotly community for joining monthly virtual meetups as well as over 30 in-person meetups in NYC, Raleigh, Dallas, Montreal, Toronto, and London. We are looking to expand our meetup footprint to Paris, Berlin, and South America, so if you are interested in joining us in person, please reach out to Plotly’s Community Manager, Adam Schroeder, at adam@plotly.com
• We are honored to have such a dedicated community of data viz experts who support each other in learning Plotly and building data apps. To see real-life examples of some of the apps built this year, check out the Plotly Examples page.
• In addition to the Examples Page, we are proud of all the work shared at the Figure Friday submissions this year. Thank you to all the community members for participating and sharing your knowledge and expertise with others.

2026 will be a year with even more initiatives and community participation opportunities around Plotly, Dash, and Plotly Studio. We have our first meet-up scheduled in Dallas for January 14!

If you would like to be part of these initiatives, learn more about them, or join our ongoing community gatherings, please email Plotly’s Community Manager, Adam Schroeder, at adam@plotly.com.

📚 Fresh off the Press: New Blogs & Resources!

State of Vibe Analytics

Curious about how AI is reshaping analytics? In our latest report, we surveyed hundreds of developers, data scientists, and BI professionals to explore how AI-assisted code generation is transforming data visualization and analysis. Join the waitlist for the report and watch our on-demand webinar where we covered our latest findings.

Plotly Publishing Playbook

You’ve built a high-value app that shares insights from your data, but keeping it on your laptop limits its impact. The Plotly Publishing Playbook shows how to share your work with colleagues, stakeholders, or customers while preserving interactivity and real-time exploration. This guide covers the steps and strategy to get your data analysis in front of the right audience, in the right formats.

Need some holiday reading? Catch up on our best blogs of the year:

• Plotly Studio Data Sources: Connect to Anything
• Create Advanced Data Analysis and Computational Tools With Explore Mode
• 9 Advanced Data Science Techniques with One Financial Dataset
• Chasing Nines on AI Reliability Benchmarks
• What Vibe Coding Gets Wrong (and Why Vibe Analytics is Better)

♥️ A Message from Plotly (with love!)

2025 was a year defined by execution, driven by teams that take ownership, think creatively, and move ideas forward with focus and consistency. Across the organization, we translated ambitious ideas into products used around the world, with AI playing a key role in how we build and deliver.

Most notably, we launched two new products, Plotly Studio and Plotly Cloud, in a single year, demonstrating our ability to move quickly, stay focused, and deliver at a high technical bar.

Our approach remains intentionally scrappy and pragmatic: working smart with the resources we have, balancing structure with flexibility, and moving quickly when it matters. At the same time, we continue to invest in AI-driven workflows across both product development and daily operations, enabling faster iteration and more effective solutions for our customers. Read more about our approach in our blog post, How Plotly is Leading with AI, and Keeping People at the Center.

As 2025 comes to a close, we’re proud of a year that reflected not just what we built, but how we built it. With strong momentum and a culture rooted in creativity, curiosity, and execution, we’re excited to carry this energy into 2026.

🎁 Thanks for reading our holiday newsletter!

2025 has been an incredible year! We’ve loved every opportunity to share resources, learn, and grow alongside our customers, community, and the entire Plotly team. As we close out the year, we’re already looking forward to the exciting possibilities 2026 will bring.

From all of us at Plotly, happy holidays and best wishes for a bright new year!

Plotly Newsletter, December 2025 was originally published in Plotly on Medium, where people are continuing the conversation by highlighting and responding to this story.

In this edition of People in Focus, we’re excited to introduce Justen Walker, our new Staff Software Engineer on the Cloud team. He shares his early experiences, what surprised him most, and how he sees Plotly’s core values — Creativity, Scrappiness, Innovation, Curiosity, Honesty, and Execution — come to life.

What first drew you to Plotly, and what did you hope to find here?

I was drawn to an opportunity to work with a small team and make a large impact. Plotly empowers not only data scientists, developers, and highly technical people; but *anyone* who has data they care about and wish to transform into something that tells a story and can help make decisions. I hoped to find a place where I can apply my experience with cloud infrastructure over the past decade and make a meaningful impact in days, not weeks or months. I believe that is what I found.

When you think back to your first few weeks, what stands out most: a moment, a feeling, or a realization?

The immediate trust placed in me. Rather than being tasked with reading documentation or onboarding tasks for weeks, I was solving real problems.

By the end of my first week, I was presenting technical proposals to the team and writing design documentation for my first project. The team gave me trust and ownership from day one, which was exhilarating.

What was your very first project at Plotly, and which company value do you think it best represents?

My first major project was building secrets management infrastructure — the secure foundation that allows applications to safely connect to databases and external services. This project embodies innovation and being scrappy while working together.

Innovation because we were developing a new capability that could be applicable to different kinds of customers, not just cloud users. We evaluated modern alternatives, designed for future scale and multi-tenancy, and thought carefully about how this infrastructure would serve different deployment models.

Scrappy because we had to move fast and deliver value early. I had done a similar project at a previous company and we didn’t really deliver value until about a year later; At Plotly, we pushed to make this available to Plotly Studio in an accelerated timeline.

Learn more about Plotly’s values: plotly.com/about-us.

How did your first project challenge you to be Creative, to think beyond the obvious, or combine imagination with technical skill?

Secrets management has a classic “chicken and egg” problem: you need secrets to be secure before you can use them, but you need the system running to secure them. I designed a solution that could bootstrap itself by automatically initializing the secure vault, and applying configuration. All of this is done without human intervention, and is now a common part of every environment.

In what ways did you need to be “Scrappy”, working smart, adapting fast, or finding a creative solution with limited time or resources?

Scrappy is not just about working with limited resources, but also reading the situation and focusing on what delivers the most value right now, not just completing what you started. I was deep into one project when a more urgent infrastructure change became critical. I parked what I was working on, executed the removal quickly and safely, and then resumed my original work.

How have you experienced “Innovation” firsthand at Plotly, whether through AI integration, team experimentation, or problem-solving?

I’ve both contributed to and witnessed innovation here. One example: I saw an opportunity to use AI to improve our deployment process. Before rolling changes to production, the system now automatically summarizes what’s about to deploy in plain language, making it easier for everyone to understand the impact before approving. This wasn’t requested; I saw a problem (lack of visibility) and built a solution using modern AI capabilities.

Another example: One of my teammates saw an opportunity to optimize some of our cloud costs. He created a design doc, we iterated on the solution, and he was able to deploy this into production in a matter of weeks; channeling our spend towards efforts that give our customers the ability to deploy more applications.

The team culture supports this kind of experimentation. We’re encouraged to prototype ideas, gather feedback, and iterate.

How has your “Curiosity” helped you learn or connect more deeply with your team or the product?

My curiosity drove me to understand the entire system, not just my immediate work. Early on, I sought out conversations with engineers across teams in order to understand how our enterprise product works, how different teams think about similar problems, and where the real pain points are. Each conversation was driven by genuine curiosity about how others think and work, which built relationships and made me more effective.

I also dove into problems outside my immediate scope. When I noticed something wasn’t working as expected, I’d dig in even if it wasn’t my assigned task. That curiosity often led to improvements that benefited the whole team.

What does “Honesty” look like to you in the way Plotly teams communicate or make decisions?

Honesty shows up in how we assess ourselves. Early in my time here, the team openly acknowledged that parts of the stack needed investment and that knowledge of certain parts of our code-base wasn’t as distributed equally. That kind of honest self-assessment is how teams get better.

It also shows up in code reviews and technical discussions. Feedback is direct and focused on making the work better, not on politics or ego. When things break in production, the communication is about resolution, not blame. That mutual honesty makes collaboration work.

Where have you seen “Execution” come to life, moving ideas into action quickly but thoughtfully?

Ideas don’t languish in planning here. The pattern I’ve experienced: write a design document, gather feedback, build a proof of concept, iterate, ship. All within weeks, not months.

One rather large project went from initial proposal to production deployment in about six weeks, with proper validation and team review along the way: quick, but thoughtful.

When priorities shift, the team can pivot fast without losing momentum.

What’s one thing you’ve learned about yourself since joining Plotly?

I’ve learned that I naturally think about how to make the team more effective, not just complete my own tasks. Creating debugging tools, implementing workflow improvements, writing documentation that saves others time. These were not pre-planned assignments. They emerged from my instinct to make everyone more capable. I want to be a force multiplier, not just an individual contributor.

How has your understanding of Plotly’s mission or culture evolved over your first 90 days?

Initially, I understood Plotly as a data visualization company. Over 90 days, I’ve come to see it as a platform company building the infrastructure that empowers people to build data applications. Everything connects: secrets management enables secure data connections, workflow systems enable reliable builds, AI integration enables Dash apps to be created in seconds instead of days.

Plotly’s mission is about removing friction so people can focus on building great data applications, not fighting programming language constructs or infrastructure concerns.

What’s a proud moment or milestone that captures what these 90 days have meant to you?

If I had to pick one milestone that captures it all, it’s this. On my first day, I was running a migration script. Today, I’m merging infrastructure improvements, implementing changes, and automating parts of our build process, removing legacy code, and responding to production incidents. The journey from “new person running a script” to “trusted owner of critical infrastructure” in such a short time is proof that when you join a team that trusts you with real ownership, you can accomplish a great deal.

These 90 days have been about building: building infrastructure, building trust, and building a foundation for what comes next.

People in Focus: Inside Justen Walker’s First 90 Days, A Reflection on Creativity, Curiosity, and… was originally published in Plotly on Medium, where people are continuing the conversation by highlighting and responding to this story.

In this newsletter:

• Upcoming Webinar: Fresh Look, Fresh Data: What’s new in Plotly Studio
• The State of Vibe Analytics
• The Plotly Publishing Playbook
• Plotly Product Labs
• Community Spotlight
• Resources

🪄 Upcoming Webinar: Fresh Look, Fresh Data: What’s new in Plotly Studio

Plotly Studio just got a major upgrade! Join us on Dec 16 at 11am ET for a detailed walkthrough of the latest features, lots of demos, plus a quick refresher on Studio’s core capabilities.

What you’ll see:

• Enterprise Data Connections: Connect to warehouses, databases, and cloud sources
• Chart Exploration: A new way to create and visualize with AI recommendations
• Workflow Improvements: Faster insights with streamlined UX, improved specs, and code sync
• In-App Docs: Reference guides exactly where you need them
• And more!

Perfect for analysts, BI teams, and data scientists who want to build AI-powered data apps, without the coding chaos. Sign up now!

✨ The State of Vibe Analytics

Ever wondered how AI is changing the way analytics gets done? In our upcoming report, we surveyed hundreds of developers, data scientists, and BI professionals to see how AI code generation has transformed data visualization and analysis — and the results are eye-opening.

Here’s what we covered:

• How data analysts have been using AI in practice
• The top tools & tech stacks in the Vibe Analytics ecosystem
• Real-world success stories and challenges
• Predictions for the next 2–5 years of analytics

Join the waitlist for the report and watch our on-demand webinar where we covered our latest findings.

📚 New! — Plotly Publishing Playbook

Your app delivers powerful insights, but gets stuck living in your laptop, not published where your stakeholders gain value from your insights.

The Plotly Publishing Playbook shows you how to share your analyses and Dash apps without losing interactivity, live data, or performance. Learn when Cloud sharing is enough, and when you need scalable infrastructure.

What’s inside:

• Publish in minutes with Plotly Cloud
• When to move to enterprise deployment
• Real examples from Berkeley Labs, UK Power Networks, and more
• Security, scaling, and cost considerations

Grab your free copy!

💻 Plotly Product Labs

We’re thrilled to invite you to our Plotly Product Labs, where your voice directly shapes the future of Plotly! On December 9 at 11am EST, connect with our passionate product and design team for an interactive hour dedicated to collaborative innovation.

What’s in store for you:

• Get instant answers to all your Plotly product questions from the experts who build them
• Share your valuable insights and help us prioritize what matters most to you; your feedback drives our roadmap
• Be among the first to influence what we build before it launches, with early access to upcoming features and designs

Come make an impact on the tools you use every day! Register here, and we’ll send you the event link.

🤝 Community Spotlight

📺 Request a Plotly Studio Presentation — If you are part of a large company, institute, or event and you would like us to offer a live demo of Plotly Studio, please use this form.

📚 Dash Club — Check out the latest edition of our Dash Club newsletter! Highlights include: the debut of Plotly Cloud, new capabilities in Plotly Studio, key Dash feature updates, and our Plotly Vibe-a-Thon winners. Read all about it!

➡️ Plotly Data Exploration Meetups — ​The mission of these get-togethers is to harness the power of data visualization and AI to uncover insights and help improve the cities we love. We’ll be in Dallas and Montreal in December, so come join us!

Many of the community apps presented at our meetups and hangouts are also displayed on the Plotly Examples Page. Don’t forget to check it out!

📚 Resources

Catch up on blog posts and user stories, deep diving into key topics for data science teams:

• Chasing Nines on AI Reliability Benchmarks
• Simple, Spec-Based Development for Analytics With Plotly Studio
• Plotly Studio: Major Speed and UX Upgrade
• What’s New in Dash 3.3.0: Plotly Cloud, customizable developer tools, and more
• Create Advanced Data Analysis and Computational Tools With Explore Mode in Plotly Studio

👋 Thanks for reading!

Thanks for joining us for this month’s round-up. Stay tuned for more exciting updates from Plotly next month.

Plotly Newsletter, November 2025 was originally published in Plotly on Medium, where people are continuing the conversation by highlighting and responding to this story.

Welcome to the Dash Club newsletter. Dash Club brings essays and updates to your inbox every 8 weeks.

Introducing Plotly Cloud: Drag. Drop. Publish.

We’re excited to share Plotly Cloud, the fastest, easiest way to get your Dash apps online. With just a few clicks, you can publish your existing Dash projects and share them with the world — no complex setup required. Our main goal is to get your apps on the web so you can see them in action.

If you’re using Dash 3.3.0, publishing is even easier: the new release includes a direct publish flow from DevTools. You can check out the release candidate and try it yourself here: Publish to Cloud from Dash.

We’d love for you to publish your current Dash apps, explore how Plotly Cloud compares to other hosting options you’ve used, and share your thoughts with us. Your feedback helps us make Cloud even better. Questions, ideas, or comments? Reach out — we’re listening and excited to see what you create!

There’s too much to cover in this newsletter, so check out the full story in this blog post.

Plotly Studio and Dash Highlights

Below you will find remarkable data apps built by the community and Plotly staff members with Plotly Studio and Dash.

👉 Climate Transition Pathways built by community member, Aditya Shukla, using Plotly Studio. This app allows you to compare countries and regions to understand the role of energy supply and demand.

👉 CSS Lab SNOTEL Weather Station app built by Plotly staff members, using Plotly Studio. This is a comprehensive analysis of weather and snowpack conditions from the CSS Lab SNOTEL station in California, tracking snow water equivalent, precipitation, and temperature patterns over 40+ years of data collection.

👉 Maritime Traffic app built by community member, Lucas Perrenot, using Dash. This app displays real-time maritime traffic in the area of your choice. Just wait for the map to update with the latest ships.

👉 RAST app built by community member, Dimitri Bozovic, using Dash. This app is your go-to tool for determining the intrinsic value of publicly traded Tech companies.

👉 ENSO Snow BC app built by community member, Faron Anslow, using Dash. This app explores the link between the El Niño Southern Oscillation and snow accumulation in British Columbia.

🙏 Thank you everyone for creating these apps and submitting them to the Plotly Examples Page.

See more Dash and Plotly Studio apps or share your own in the community forum’s Show and Tell tag. If you would like your app to be considered for the next edition of the Dash Club newsletter or the Dash Explore Page, please submit it by clicking the Share Your App button.

Plotly Analytics Vibe-a-Thon Winners

After a month of creative, next-level data apps, the first Plotly Vibe-A-Thon wrapped up. Thank you to over 210 community members for participating.

And for the results 🥁…

🥇 1st place — Chief Viber — goes to Alonso for the app on OECD Pensions Explorer

🥈 2nd place — Analytics Star — goes to Tatiana for the app on Femicide in Bolivia: From News to Narrative

🥉 3rd place — Community Choice — goes to Pranav for the app on Football Post-Recovery Analytics

In addition, we had 6 Honorable Mentions — The Peregrine Prize — due to a tie between 5th and 6th place:

• Darlyn, who created Eco+
• Sagar, who created The Psychology of Banking
• Eszter, who created E-commerce Sales Analytics
• Aryan, who created Formula 1 Racing Analytics
• Talha, who created Smart and Secure Schools in India
• Deepa, who created Charting Gender Parity

Visit the Plotly Analytics Vibe-a-Thon Project Gallery to congratulate the winners and check out all of the awesome submissions.

Version Check

• Dash Enterprise Platform 5.8 (docs)
• Dash Open Source Framework 3.2.0 (changelog)
• Dash AG Grid 32.3.2 (changelog)
• Plotly.py 6.3.1 (changelog)
• Plotly.js 3.2.0 (changelog)

Have a great rest of your week –
Nathan (@nathandrezner) & Adam (@adamschroeder)

Dash Club 20: Introducing Plotly Cloud, Plotly Studio, and Dash Highlights, Plotly Vibe-a-Thon… was originally published in Plotly on Medium, where people are continuing the conversation by highlighting and responding to this story.