Plotly.js 4.0 is out! 🥳 New trace type, many more customization options, lots of bug fixes, and a few low-key, strictly-better changes to the defaults. See the full release notes and examples here: plotly.com/blog/announcing-p….

easy peasy lemon squeezy 🍋 Want a data-querying, chart-making chatbot on top of your Dash app? 1. Define a `get_data()` function that returns some dataframes. You can literally connect to _anything_ with Python, so this data can come from anywhere. 2. Publish your app to Plotly Cloud: `$ plotly app publish` 3. Flip on the chatbot switch in your app settings That's it! We love this solution because it's super easy but it also gives you full control over data access. You can restrict access to certain tables or columns, or just clean things up in the data between the data warehouse and your end users. Join our launch event next week: plotly.com/webinars/plotly-s…

It's launch day! Introducing Plotly Studio Embedded 🥳 Plotly Studio Embedded brings agentic analytics directly into your Dash app. It enables the viewers of your application to ask questions about data and generate charts, tables, maps and reports with AI. There's a few things that make this product really unique: 1. Configuration as code: Data access is managed in code in advance, so end users don't need to fuss around with connectors or credentials themselves. 2. Data is front-and-center: Most AI chat experiences show you a wall of text. That's not what we think data analytics should feel like. Plotly Studio Embedded is designed to show you the queries, graphs, and tables every step of the way. 3. Secure: Rather than engineering an agent that can do anything (including escape sandboxes), we engineered this agent to only perform data analytics and visualization tasks. There's no arbitrary code execution, no network access, no filesystem access. 4. Embedded: The AI experiences co-exists alongside predefined views. So end users can have the best of both worlds and so that you can save on token$ by placing the common charts and tables in the Dash app itself. Read more: plotly.com/blog/plotly-studi… Join the launch event: plotly.com/webinars/plotly-s…

Long live great libraries.

What does it take to serve a month of Polymarket orderbook data, with 16 billion events and 500 GB of Parquet, as a live interactive dashboard? Less than you'd think. We partnered with the Polars Cloud team to take this dataset to production: - Polars Cloud handles the heavy compute; the same code that processes an hour of data on your laptop scales to a full month across a cluster, unchanged - A Dash app serves it as a thin, stateless layer reading query-optimized Parquet - Plotly Cloud handles the ops: machine sizing, Always-On compute, and metered billing And with Dash 4.3, the app doubles as an MCP server. Claude, Cursor, or ChatGPT can connect and query the actual dataset, to answer users' questions. Explore the live dashboard and read the full breakdown 👇 bit.ly/4yMQcOk bit.ly/4wtMlUQ

Japan's Ministry of Land, Infrastructure, Transport and Tourism @MLIT_JAPAN has just announced the Open Data Challenge for 2026. The challenge is a great opportunity to put Dash and Plotly Studio to use by building high-quality Plotly apps. More about the challenge: bit.ly/4568DQr

What an amazing 3d plot by Plotly community member, Eszter. And the best thing is that she published it on Plotly Cloud, so you can go into the app and interact with it. famous-amber-puffin-6fd39e5f… Click anywhere on the plot to get detailed info about the temperature and more.

Linear color scales can easily skew your choropleth maps if your data has extreme outliers. Check out this excellent new Plotly community project: a US county population-growth map that utilizes quantile-based stepped color scales to keep data accurately visualized. bit.ly/3QIB9US

Frustrated with your AI assistant hallucinating Plotly Dash component props or using deprecated APIs? The way to fix it isn't a better model. It's giving the model the actual docs. With the new Dash Docs MCP Server, agents can read the live, official Dash documentation. bit.ly/3SKqU2R

Plotly community member, Genadiy Vasserman, mapped all 5,010 CVPR 2026 papers using Python & Plotly to reveal important AI trends (like the multimodal takeover). Read, hover, zoom, and explore the data! bit.ly/44kck4J

Plotly Studio version 0.0.82 is here! 🚀 Plotly's Senior Product Manager, Matt Brown, just walked us through the latest exciting features within Plotly Studio to give you more control and customization over your agentic data workflows. Plotly Studio: bit.ly/4vlFGLR

We’re at the @ReutersEventOil event in #Houston today! 📍 Stop by booth 19 to meet Mingo Sanchez and Ian Dorish and see Plotly in action. Can’t make it in person? Explore how #energy companies are using Plotly: tinyurl.com/3mw4vpnx #DDOG

Plotly Studio just launched its agentic analytics workflow: ask questions in your preferred language, get live charts, reports, or Dash apps backed by transparent Python code. Read more about the launch. plotly.com/blog/plotly-studi…

How to build an analytics dashboard and explore your data in a matter of minutes. Using the new Plotly Studio Agentic Mode, connect to your data or create a dummy dataset and start building reports with AI. Plotly Studio: bit.ly/49gMiSM Join the webinar to learn more: bit.ly/4ndx0nN

Have you had a chance to explore Plotly Studio? We're hosting a guided walkthrough next week with Mingo Sanchez. Explore core features, see a live demo with real data, and get your technical questions answered. Register now to attend: bit.ly/4w7MY6Q

Looking forward to hosting "Getting Started with Plotly Studio" alongside my colleague Mingo Sanchez on April 23 at 11am EDT. Learn to create your dashboards with AI in a matter of minutes. Register: tinyurl.com/3ymbj2tn

Missed our Power BI webinar? We showed how Plotly Studio connects directly to your existing Power BI semantic models, preserving your data investment while unlocking what Microsoft can't provide. 🌟 6 minutes. Key moments: → The limitations of traditional BI tools → How Plotly Studio solves them → Live demo: connecting to Power BI → Building with AI using plain English → Converting Power BI visuals to Plotly → One-click publishing Watch the full recording: bit.ly/4uzSIpd Catch our next webinar to see the full Plotly workflow from Plotly Studio to Dash Enterprise Workspaces to published app: bit.ly/4rCG85U

📸 Pictured: Plotly's Senior Solutions Architect Alex Hsu and Technical Product Manager Nathan Drezner at the Plotly office with our newest intern, Hattie! Come meet more of the team at our Plotly Community Gathering, Studio Launch & Decade of Open-Source Party! It’s happening on May 12th at Apna Chulha & Blondies in SF from 1 PM - 2 AM. Connect with other data scientists, community members, and the Plotly team: linkedin.com/events/74369146…

Plotly's Senior Developer Advocate Adam Schroeder has spent years helping people get more out of their data tools. And his take on Power BI? You're leaving a lot on the table. 👇 If you're running Power BI semantic models but hitting walls on customization, AI you can trust, or viewer costs that don't scale — this session is for you. On March 11 at 11AM ET, Adam and Matt Brown will connect Plotly Studio live to a real Power BI semantic model and show you exactly what's possible on the other side: production Python, transparent AI, and data apps your stakeholders actually want to use. Save your spot! bit.ly/4sfbqAE

Here’s a fun interactive data app we built with Plotly Studio featuring a dataset covering 193 countries and their drinking habits. This dataset tracks beer 🍺, wine 🍷, and spirits 🥃 consumption across every country on Earth Check out the interesting patterns it reveals: ➡️ Namibia beats Germany in beer consumption, while the Czech Republic is #2. ➡️ France drinks more wine than any other country on the planet at 370 servings per person per year. That's more than one glass a day, every single day. ➡️ The Caribbean island of Grenada, with a population of 100,000, leads the world in spirits consumption. The Plotly Studio app lets you iteratively explore these data points visualized with bar charts, rankings, multi-dimensional comparisons, and a bubble chart that maps all three drink types simultaneously. Modern BI is evolving towards living, interactive tools that lets stakeholders ask their own questions of the data. See the app → bit.ly/4kT9Pho Built in minutes with Plotly Studio → bit.ly/4rc6FXH Download the CSV and try it yourself → bit.ly/4tLRN4x