Dashboard: Unterschied zwischen den Versionen

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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
Subpages:
Dashboard hat keine Unterseiten.



Dashboard
No-Logo.png
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.

Requirements Table
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!