Embed Your First Preset Dashboard in Minutes Using Flask | Tutorial

In early August, Preset announced its Embedded SDK, enabling users to integrate Preset dashboards into external web applications to enhance data application experiences. This blog post serves as a companion to a live demo conducted on August 16th, guiding users through building their first embedded dashboard using the SDK. Users must have access to the embedded feature, familiarity with web application development, and a dashboard to embed. The procedure involves creating a web app with both frontend and backend components, using Python's Flask framework for the backend to request and manage authentication tokens from the Preset API. The frontend, using HTML, CSS, and JavaScript, fetches guest tokens from the backend and utilizes the Preset Embedded SDK to embed the dashboard as an iFrame. The Preset API builds on the Superset API, requiring an API key for interaction, and although currently available by request, offers powerful tools for creating interactive analytics experiences in customer-facing applications.

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