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Chris Parmer

Cofounder, Plotly

Search every verified Chris Parmer interview, podcast appearance, and on-the-record quote — each transcript cross-checked by AI and human review to confirm speaker identity. Chris Parmer, cofounder and chief product officer at Plotly, presented a webinar on October 1, 2026, covering the company's new Claude connector for Plotly Cloud, which uses MCP support to let users move from a prompt to a live Dash app in a single conversation. During the session, he described how the agent can create code, publish the application, interact with it, and review logs to validate performance and diagnose issues. He also highlighted native App Analytics in Plotly Cloud, which tracks views, unique viewers, and callback activity, and discussed upgrades in plotly.py v7 and plotly.js v4, noting the latter as the 275th release of plotly.js. Parmer emphasized the value of giving coding agents access to application logs, stating that maintenance—such as monitoring visits, identifying issues, and diagnosing problems—is a major part of the work after an app is created. He also mentioned that Plotly staff have used their own tools, including Dash and coding agents, to build custom applications instead of relying on Salesforce's built-in reports, describing these as more maintainable, customizable, and faster to produce.

Recent appearances

  • Webinar: Claude Connector and Major Upgrades to Plotly.py and Plotly.js

    October 01, 2026 · 📺 Plotly

    The new Claude connector for Plotly Cloud takes you from a prompt to a live Dash app in one conversation. Claude creates the app, watches the build, fixes failures from the logs, and hands you the URL. This session from Chris Parmer covers how the connector works, previews native App Analytics in Plotly Cloud, and walks through what's new in plotly.py v7 and plotly.js v4. For Python, JavaScript, and Dash developers, engineering leads evaluating coding agents on Plotly Cloud, and anyone upgrading from plotly.py 6 or plotly.js 3. Questions? [email protected] 3:04 Plotly Cloud connector: setup a…

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  • #37 Stop Guessing. Start Verifying. w/Chris Parmer

    July 30, 2026 · 📺 AI Realized

    Plotly co-founder Chris Parmer reveals how to turn AI into analytics you can trust. Learn why Studio has AI write auditable Python, how role-ready assistants personalize work without leaking data, and how to run agents like a real workforce with owners, logs, and KPIs. See the metrics that matter to leaders, from time to decision to cost per analysis. This is how enterprises out-learn and out-deliver.

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  • Spec-Based Development for Analytics With Plotly Studio

    November 20, 2025 · 📺 Plotly

    In this video, Chris Parmer will show you the new Specification file format in Plotly Studio, allowing you to create and reproduce Plotly charts in plain English, just by describing what you'd like to see. Plotly Studio: http://plotly.com/downloads/?utm_sour... #plotlystudio #datavisualization #vibeanalysis #vibeanalytics #dataviz

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  • The Future of Dashboards, Data Apps, and AI with Plotly’s Chris Parmer

    November 19, 2025 · 📺 Jon Schwabish

    In this week’s episode, I talk with Chris Parmer, co-founder of Plotly, about how the company is integrating AI into the next generation of data visualization and analytics tools. Chris walks me through the thinking behind Plotly Studio, their new AI-native environment where natural language prompts generate real, auditable code for charts, dashboards, and data apps. We discuss how this approach reduces bottlenecks for data teams, empowers non-technical users, and reshapes the role of the data visualization expert. We also dive into the limits of public dashboards, the rise of generative inter…

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  • Plotly Ships: Data Apps for Everyone

    July 25, 2024 · 📺 Plotly

    Did you know 90% of data and AI applications never reach production or decision-makers? Set sail towards creating real business impact with actions and interactivity. Plotly empowers data scientists to build pixel-perfect, interactive data apps ready for production. With our open-source framework and enterprise platform, we bridge the gap between data teams and business decision-makers. Our latest product release enhances the collaboration, control, and customizability of Plotly products. On July 24, we charted the future of dynamic data and AI. Here’s a breakdown of what was covered: 0:00…

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  • Plotly's Story — Plotly Ships: Data Apps for Everyone

    July 25, 2024 · 📺 Plotly

    Chris Parmer, Plotly CPO and Co-Founder of Dash, kicks off our latest product launch event, "Plotly Ships: Data Apps for Everyone," with an overview of Plotly's journey. He shares how we got started, where we are today, and the mission and guiding principles that drive our product design. Chris also introduces the purpose and features of the Plotly App Studio, setting the stage for an exciting event ahead. Watching the full recording:    • Plotly Ships: Data Apps for Everyone   Questions? Email [email protected]

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  • Closing — Plotly Ships: Data Apps for Everyone

    July 25, 2024 · 📺 Plotly

    Chris Parmer, Plotly CPO and Creator of Dash, shares what's in store for the company and future product development. Watching the full recording:    • Plotly Ships: Data Apps for Everyone   Questions? Email [email protected]

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  • Plotly Turns 10: Birthday Wishes from Co-Founder, CPO, and Creator of Dash, Chris Parmer

    August 31, 2023 · 📺 Plotly

    Plotly was founded in August 2013, and to celebrate, we are sharing interviews from the team. Hear Chris Parmer, Co-Founder, CPO, and Creator of Dash, share the company story from the early days of the Plotly graphing library, significant milestones like introducing the Dash framework in 2017, and how we plan to move forward.

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  • Chris Parmer - Plotly founder on what data science is, and where it’s going

    March 18, 2020 · 📺 Towards Data Science

    It’s easy to think of data scientists as “people who explore and model data”. Bur in reality, the job description is much more flexible: your job as a data scientist is to solve problems that people actually have with data. You’ll notice that I wrote “problems that people actually have” rather than “build models”. It’s relatively rare that the problems people have actually need to be solved using a predictive model. Instead, a good visualization or interactive chart is almost always the first step of the problem-solving process, and can often be the last as well. And you know who understands…

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  • Dash - A New Framework for Building User Interfaces for Technical Computing | SciPy 2017 | Chris Par

    July 14, 2017 · 📺 Enthought

    If you are a data scientist today, it's actually pretty tough to build a data visualization web-application. If you're not a full-stack developer, you're practically out of luck. But GUIs like sliders, dropdowns, and text inputs are extremely helpful to the data scientist or engineer. If you're an R programmer, you're in luck with Shiny. If you're a MATLAB programmer, you can use GUIDE (but good luck sharing it!). The dash project introduces a framework for building web-based technical computing apps (GUIs). It's like a Shiny for Python. dash is built off of plotly.js and react.js to pr…

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  • PLOTCON 2016: Chris Parmer, Dash: Shiny for Python

    December 01, 2016 · 📺 Plotly

    Update! Plotly has formally released Dash. Read the announcement letter:   / introducing-dash   or view the docs: https://plot.ly/dash. If you are a data scientist today, it's actually pretty tough to build a data visualization web-application. If you're not a full-stack developer, you're practically out of luck. But GUIs like sliders, dropdowns and text inputs are extremely helpful to the data scientist or engineer. If you're an R programmer, you're in luck with Shiny. If you're a MATLAB programmer, you can use GUIDE (but good luck sharing it!). The dash project introduces a framework for…

    Watch on YouTube ↗

The summary and quote tags on this profile are produced with AI assistance from verified, first-person interview transcripts, then checked by our team to confirm the speaker's identity and the accuracy of every quote. See how we verify →