Matt Sundquist on data handling
From Matthew Sundquist: The Possibilities Of Plotting With pandas and IPython · · PyData
“In that case the data does go to our servers and come back — we send it to the server if you're using our cloud product and we send it back down and then we'll just render it on the client.”
On , Matt Sundquist, Cofounder at Plotly, spoke about data handling during Matthew Sundquist: The Possibilities Of Plotting With pandas and IPython on PyData.
About Matt Sundquist
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.