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Matt Sundquist

Cofounder, Plotly

Search every verified Matt Sundquist interview, podcast appearance, and on-the-record quote β€” each transcript cross-checked by AI and human review to confirm speaker identity. In a 2015 PyData Seattle talk, Matthew Sundquist, cofounder of Plotly, described the company's Python API for creating plots directly from Python and pandas, including maps, 3D plots, and other visualizations. He explained that Plotly is based in Montreal and aims to support collaborative, cloud-based plotting, with all APIs and figure converters being open source. Sundquist noted that users can do unlimited free public plotting on the cloud, with edu accounts available for educational projects, and that licensing is offered for offline or on-premises server use. Sundquist stated that Plotly uses D3 and WebGL for browser-based rendering, and that data is sent to Plotly's servers when using the cloud product, then rendered on the client. He emphasized that Plotly does not make intellectual property claims to user data. He also mentioned that users can comfortably plot 20,000 to 40,000 points per plot in the browser, with the offline product supporting millions of points, and that a new WebGL backend was in development to allow for even larger datasets.

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Recent appearances

  • Matthew Sundquist: The Possibilities Of Plotting With pandas and IPython

    PyData Seattle 2015 A wave of complimentary new tools allow developers to quickly access, analyze, and plot data. IPython Notebooks let you harness these libraries and code in a web-based, language agnostic Notebook. Pandas lets you wrangle your data. And matplotlib, ggplot for Python, Plotly, bokeh, and Seaborn let you make beautiful, interactive plots. This talk shows how to use and deploy these tools together. A new wave of Python libraries enable interactive, scientific figures, and web shareability. From Python we can access and manipulate data with pandas, make 2D, 3D, and live-streamin…

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