Welcome to F97.BE!

Python, Photons, and Predictions.

Wallbox

Replacing the Home Assistant integration, we now use a suite of self-developed Python programs that provide greater flexibility and control.

The backend periodically polls the charger, processes the retrieved data, and stores it in our SQL server and in structured JSON format. This data is visualized using modern JavaScript libraries, with responsive and interactive charts rendered in the browser. The dashboards are automatically updated at regular intervals.

Running entirely on a Raspberry Pi, the system is lightweight, self-contained, and operates independently of cloud platforms. To make the dashboards accessible from outside our closed local network, the latest data is securely uploaded to a public-facing web server using SFTP.

One dashboard, offering detailed real-time and historical statistics, is available here.