From Dash - A New Framework for Building User Interfaces for Technical Computing | SciPy 2017 | Chris Par · · Enthought
“The currently selected point that I'm hovering over gets passed into the back end of my Dash application — I'm looking up that point inside a pandas DataFrame and finding some information about it and returning it back to the user interface.”
On , Chris Parmer, Cofounder at Plotly, spoke about interactive visualization during Dash - A New Framework for Building User Interfaces for Technical Computing | SciPy 2017 | Chris Par on Enthought.
Chris Parmer, cofounder of Plotly, presented the open-source framework Dash at SciPy 2017 and PLOTCON 2016. He described Dash as a framework for building web-based user interfaces for technical computing using only Python, without requiring JavaScript, HTML, or CSS. Parmer stated that Dash is built on top of plotly.js and react.js, and that it allows data scientists to create interactive web applications with components such as sliders, dropdowns, and graphs, with the application state stored in the web browser rather than on the server. He noted that Dash is licensed under MIT and that Plotly funds its open-source work through enterprise add-ons and deployment servers. Parmer emphasized that Dash is designed to address the difficulty data scientists face in building data visualization web applications without full-stack development skills. He compared Dash to Shiny for R, stating that it enables users to write applications entirely in Python. Parmer also discussed how Plotly's engineers work on open-source software, including Dash and the JavaScript graphing library, and that the company offers enterprise platforms for deploying Dash apps with features like LDAP and Active Directory authentication.