Use Prifina’s code, example applications, and open source libraries to build new types of apps on top of user-held data.
Featured Example Applications
Your wearable data is in different silos. Can you bring it all together in a simple dashboard to see how they correlate and compare devices?
The Health Dashboard allows you to visualize your wearable data, and correlate different data points such as exercise and sleep cross devices.
See the documentation on GitHub for the health app. The roadmap includes adding more wearables, but also streaming data and other data complements.
MovieMator combines streaming data (views, ratings, categories, preferences) and offers cross-platform personal recommendations.
The concept came from frustration of data locked away in different platforms and a lot of time spent finding relevant content to watch.
The developers documented the process of building this application with examples for you to take advantage of as a reference or build upon.
Planning workouts is tough. Can you take the guesswork out of when to run, by combining habit data and public data sources?
The Exercise Assistant looks at your typical exercise patterns, and compares it to upcoming weather and your schedule. Looks like bad air quality, better move that exercise indoors!
What other public data sources could you add to bring value? How do we make scheduling recommendations more intelligent? Many more things to do on the roadmap.
Other Use Cases
If data were no obstacle, what would you build? Brainstorm with our community and build something amazing.
Existing Use Cases
Browse use cases generated by the community, vote on them and develop them, or get feedback on your own idea.
View Use Cases
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