David Landup
Dan Nelson

The Plotly Python library is an open-source data visualization library for Python. Similar to Altair, Plotly makes use of the JSON data format to visualize data. Plotly supports the creation of over 40 different chart types to visualize different data types like statistical data, geographic data, financial data and scientific data.

Plotly has been rising in popularity in the recent years, and is one of the most widely-used libraries in the ecosystem. It comes extended with Plotly Express (official high-level API) - which looks a fair bit like Seaborn, making it a fairly simple/easy transition for most people who are already acquainted with the powerful library. This made adoption much more intuitive and simple - and Plotly has been increasingly showing up in web-based visualization. You're well versed with Matplotlib/Seaborn and want to incorporate those visualizations online? Good luck. The best you'll be able to do is save an image, and then load it into an HTML page - but it stays an image.

While images are fine for many use cases, the web is interactive, and having at least a rudimentary level of interaction really helps improve the user's experience. This is where Plotly comes in, making the creation of beautiful, highly-performant visualizations both easy to do and to integrate in an HTML page.

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