Sounds like D3.js?
Yes, but so much more. EON connects C3 charts and utilizes Mapbox’s map widget to real-time streams of data, meaning you can collect, detect, and publish data in real time to live-updating charts, maps, graphs, and more. And it’s easier than ever.
Anytime you want to stream data and visualize it. This could be a dashboard monitoring sensor readings from thousand of sensors in the field. This could be vehicle location and state on a live-updating map. This could be financial data in a stock trading application.
Any use case where you need to collect and consume, then visualize data is fair game.
The charting and graphing component of EON is based on C3.js, an open source charting library. This enables you to build real-time line, bar, pie, gauge, and donut charts. When new data is streamed, transitions are animated and changes are reflected in real time.
No manual refreshing required!
Even better, with history, data can be stored and retrieved opening up the possibilities for persistent time series charts (or even analytics).
The mapping and geolocation component of EON is based on Mapbox, a series of APIs and tools for building custom maps. Give EON a marker icon (bus, train, plane, person), and a geolocation. When the geolocation is updated, the market animates and travels to the new location.
Graphing data from a single source to a single chart is cool, but what about multiple devices to a single chart, or even a single device to multiple charts? EON supports it all.
Take an IoT use case for example. With EON, you can have all your different connected devices publishing to a single dashboard simultaneously.
Head over to the Project EON homepage or check out the Project EON GitHub repository. We have a ton of tutorials and getting started with EON guides for specific charts, as well as maps.
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