Dashboard: Unterschied zwischen den Versionen
Anlumo (Diskussion | Beiträge) |
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The Flutter solution is the most work, because it requires software development rather than just configuration. The idea is to use [https://pub.dev/packages/charts_painter Charts Painter] to write a regular Flutter application that then uses [https://github.com/ardera/flutter-pi flutter-pi] to run on the device (automatically after boot). | The Flutter solution is the most work, because it requires software development rather than just configuration. The idea is to use [https://pub.dev/packages/charts_painter Charts Painter] to write a regular Flutter application that then uses [https://github.com/ardera/flutter-pi flutter-pi] to run on the device (automatically after boot). | ||
Another option for a custom application would be [https://dash.plotly.com/introduction Dash] which does the same thing in Python. | |||
[[User:anlumo|anlumo]] invites everybody else to evaluate other solutions and append another column on the table above! | [[User:anlumo|anlumo]] invites everybody else to evaluate other solutions and append another column on the table above! |
Version vom 17. Dezember 2022, 19:18 Uhr
Language: | English |
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Dashboard | |
Gestartet: | |
Involvierte: | anlumo |
Status: | in progress |
Beschreibung: | It's a display showing interesting statistics. |
Shutdownprozedur: | Integrated into SmartLab |
Zuletzt aktualisiert: | 2022-12-17 |
The Dashboard is an art installation in the Otter Space between the server room and the kitchen passage. It currently displays a few interesting stats about the Metalab, mostly concerning the drink sales.
It is currently just a Raspberry Pi 3 running FullPageOS. Its web browser opens a Grafana public dashboard hosted on the SmartLab server.
Version 2
Version 1 is ok, but it has several shortcomings stemming from the fact that Grafana not being designed for this kind of use case (public dashboards). Other solutions should be evaluated.
Requirement | Grafana | Home Assistant | Flutter |
---|---|---|---|
Hosted locally | ✔ | ✔ | ✔ |
Starts on a Raspberry Pi without user interaction | alpha state | ✘ | ✔ |
Basic bar charts | ✔ | ✘ | ✔ |
Multi-series bar charts | ✔ | ✘ | ✔ |
Basic line charts | ✔ | ✔ | ✔ |
Moving average line charts | ✔ | ✘ | ✔ |
Cropping outliers from charts | ✘ | ✘ | ✔ |
Free color choice | ✘ | ✘ | ✔ |
Displaying binary live data | ✘ | ✔ | ✔ |
Displaying live text messages | ✘ | ✔ | ✔ |
Autoswitching between multiple screens | ✘ | ✘ | ✔ |
The Flutter solution is the most work, because it requires software development rather than just configuration. The idea is to use Charts Painter to write a regular Flutter application that then uses flutter-pi to run on the device (automatically after boot).
Another option for a custom application would be Dash which does the same thing in Python.
anlumo invites everybody else to evaluate other solutions and append another column on the table above!