Join the Vibe Analytics Revolution - Plotly Studio and Cloud Are GA

Today, we’re excited to announce that Plotly Studio and Plotly Cloud are now officially generally available! You can get started by downloading Plotly Studio.

With Plotly Studio, vibe analytics has landed

Plotly Studio leads the vibe analytics movement. Vibe analytics means you’re using AI to reveal what your data is trying to tell you instead of waiting for data experts to build interactive data apps and dashboards at your direction. You’re also using pre-conceived ideas about the best way to visualize your data.

Plotly Studio is the first offering to go directly from dataset to data app with no additional prompts required. The data apps are generated from nearly 2,000 lines of codes of beautiful, well-structured Python code. Once you’ve used Plotly Studio’s iterative workflow to refine your app, Plotly Cloud is the purpose-built publishing and sharing platform for your apps. 

Plotly Presents: The Rise of Vibe Analytics

In recognition of this milestone, Plotly is hosting industry experts, MIT Sloan research fellow Michael Schrage, and author of the authoritative study of vibe analytics and 6x LinkedIn Top Voice in data analytics and AI, Brian Julius, on September 23rd in the Rise of Vibe Analytics event.

Early Access exceeds expectations

We originally planned for a few hundred participants in the early access program, starting in July. The actual demand blew the doors off that plan, being massively oversubscribed — today we're sitting at over 6,000 requests and counting, and I’m proud to share that our platform scaled easily with the demand. 

The feedback from industry experts has been amazing:

• Injae Park, a Power BI World Championship Finalist, had this to say about the release on the Maven Analytics podcast, “It's phenomenal. If we're talking about AI replacing juniors, Plotly Studio is the one to watch out for…Plotly Studio is really amazing. I'm flabbergasted at how good it is, how fast it's improving."
• Jason R., Senior Data Analyst at ManpowerGroup shared, “This thing has blown my mind!! Basically, in less than 1 minute, I'm standing on top of a fully functional Turnover Analysis, and I didn't type a single key!"
• Kerry Kolosko, a Microsoft Data Platform MVP and Principal at Grafiq Insights, shared “Designed by Data Analysts for Data Analysts and it shows” and users “Don’t have to interact with a chatbot.”
• Art Tennick noted, "Plotly Studio's AI auto-generated prompts, specifications, and the Python to automatically draw visuals for a total of 9 visuals, not a single prompt used, all I had to do was add a data file."

Chris A built an app using a dataset of Iraqi War Combat Incidents:

Vinod Kumar mapped the activity across an NYC locker program:

Maria Izabel Cavassim Alves built a Genetics data app in under 2 minutes:

Jeferyd Yepes García built a visualization of a Genomic Chromosome:

Plotly Studio introduces a new way to do data analytics: we call it vibe analytics. It brings together AI-native workflows, intuitive visual exploration, and production-grade code generation into a single, uninterrupted flow. The desktop application builds fully structured Dash data applications that reflect the same architecture used by professional developers.

At its core, Plotly Studio uses a multi-agent architecture to turn your data into a complete, testable, and deployable app. The platform automatically generates thousands lines of Python code in under two minutes, using parallel processing and hundreds of steering and error correction steps to ensure output quality.

The result is a data app that’s readable, editable, and reflects best practices from over a decade of Plotly data visualization expertise. What would have taken weeks to hand code and test, days to build in Power BI, now takes minutes.

What makes Plotly Studio especially powerful is its understanding of how data analysis actually happens in real life. It generates multiple analytical perspectives from the same dataset, offering richer insight from the very beginning through these intelligent behaviors:

• Recommends visualizations informed by domain-specific intelligence and world knowledge, going beyond the obvious chart types
• Adds interactive controls like filters, binning, and moving averages appear automatically, encouraging deeper and more iterative exploration
• Keeps you in a flow state with natural language input and structured specification documents (specs), letting you guide or refine the app without switching interfaces or tools
• Encourages smooth iteration with real-time error correction and spec editing to prevent dead ends and debugging doom-loops

Specs double as documentation and support collaboration, so teams can align around code that is easy to understand and tweak if needed. It’s inherently collaborative —  analysts can share specs and prompts to recreate or remix particular analytics routines or charts in plain English (or the language of their choice).

Generated data apps follow modern software development patterns out of the box. Each includes a modular file structure, clear separation of concerns, a best-practice, and performant architecture suitable for CI/CD pipelines and testing. They are containerization-ready, integrate cleanly with existing Python environments, and allow for enterprise deployment without modification.

Built-in expertise, transparent process

Plotly Studio eliminates the ambiguity and overhead that usually accompanies AI-generated code. Every visualization adheres to Plotly’s data visualization standards, including things like ordered pie charts, labeled axes, and WebGL-optimized performance where needed. Applying custom own standards (like IBSC or corporate brand guidelines) is simple with natural language. The AI engine is trained to generate apps quickly and responsibly.

Behind the scenes, every decision is logged. The data transformation steps are exposed for verification in plain language, making it easier for technical and non-technical users to understand what’s happening and why. Teams can collaborate, review, version control, and refine apps by sharing natural language specs, code, or reviewing the published artifact."

Early user feedback has been insightful and exciting. Some users shared specific use cases: “Finish your month-end accounting reports in only 5 minutes with no formulas, coding, or point-and-click designing and queries. Plotly Studio's AI created a dozen prompts and visuals automatically.”

The potential of using AI for data analysis clearly shone through as the way forward for democratizing analytics, disrupting both traditional BI and data app development practices: “For a pre-release version, I found it incredibly intuitive, quite polished, and well-designed to take full advantage of the power that AI offers.”

As we keep building on user feedback, Plotly Studio maintains a high generation success rate, thanks to its retry and correction systems. Internal benchmarks show state-of-the-art LLMs generate error-free data apps only 60% of the time on the first attempt, versus 99% with Plotly Studio's tooling and error correction. The platform also supports seamless integration with enterprise infrastructure and LLMs, enabling IT teams to monitor and scale usage with confidence.

Share, publish, collaborate with Plotly Cloud

This release also brings Plotly Cloud to general availability. Plotly Cloud is hands-down the simplest and fastest way on the planet to publish and data apps, including those created in Plotly Studio. Securely share your data apps with anyone.

Users simply drag and drop their files into Plotly Cloud to deploy their app with no command line required. The platform is fully managed by Plotly. Users do not need to manage any infrastructure on their own. Apps are assigned their own custom URLs for sharing privately with named users or publicly to anyone with the URL. In under 30 seconds, users can publish a live app with full interactivity. Plotly Cloud makes sharing feel like an extension of creation, preserving live interactivity instead of flattening insights into screenshots or PDFs. 

Built by Plotly, for Dash, our vision for Cloud is to understand and adapt to the specific internal structure of Dash apps: their callbacks, component trees, and data flow. That native awareness provides the potential to optimize performance in ways other platforms cannot. You can publish locally developed apps with drag-and-drop simplicity, and custom URLs.

Plotly Cloud will also support user-level and group-level permissions, and works well within the Plotly ecosystem including Plotly Studio, the Dash framework, and our full suite of visualization libraries. It provides a durable, secure way to distribute insights without compromising fidelity, control, or performance.

Dash Enterprise offers scalable deployment for data science teams

Alongside Plotly Studio and Plotly Cloud, Dash Enterprise is the best way to scale production-grade data app deployment. Built for data teams at organizations that require full control over infrastructure, Dash Enterprise offers a secure, scalable environment for managing, deploying, and scaling Dash applications across teams. It is the natural path forward for those who start building with Plotly Studio and need to manage everything within their own firewall. 

The latest release includes Dash Enterprise for Kubernetes, enabling multi-node deployment out of the box. This gives IT teams the power to run apps across distributed environments, with built-in orchestration, high availability, and support for autoscaling. It can be deployed within existing Kubernetes clusters that customers are already managing for other workloads, reducing cost and management burden. It’s designed for enterprises that need performance, governance, and flexibility without compromising ease of use.

A new standard for data applications

This release marks a shift in how people build, share, and scale insights, but without abandoning the standards and best-practices that relegate many AI-based approaches to interesting party tricks.  Plotly Studio, Plotly Cloud, and Dash Enterprise are fully SOC 2, Type II compliant, use end-to-end encryption, and operate on GDPR-compliant infrastructure.

Our suite of products make it possible to create high-quality, customizable analytics tools that move at the speed of curiosity. We offer flexible pricing that scales with your work, so you can get started at an economical price point and build and expand with your analytics needs. 

Plotly’s Python-backed vision for vibe analytics flows from rapid, inspirational experimentation and exploration through to version-controlled, production-ready apps. One-off prototypes evolve into collaborative tools. Raw data becomes a deployed application in under two minutes. And your whole journey can be without touching a config file, a command line, code, or spinning up infrastructure.

Welcome to the vibe analytics revolution!