Question 1

How to install HASS-data-detective on a Raspberry Pi?

Accepted Answer

Use the official Home Assistant JupyterLab add-on, which includes HASS-data-detective. For manual installs, use pip but ensure libfreetype6-dev is installed for matplotlib compatibility on aarch64 platforms, as per the README.

Question 2

What should I do if I get the states_meta table error?

Accepted Answer

This error means your Home Assistant database is older. Install version 2.6 with `pip install HASS-data-detective==2.6`, as instructed in the README's version compatibility section, to bypass the states_meta requirement.

Question 3

HASS-data-detective vs using pandas directly on Home Assistant data?

Accepted Answer

HASS-data-detective automates database discovery and provides example analyses, saving setup time. Pandas offers more flexibility for custom queries but requires manual database handling and more coding effort.

Question 4

Can HASS-data-detective connect to a remote Home Assistant database?

Accepted Answer

By default, it auto-discovers the database on the same machine. Remote connections aren't explicitly supported in the README, so you'd likely need manual configuration, which isn't documented.

Question 5

How to create custom analyses with HASS-data-detective in Jupyter?

Accepted Answer

Start with the example notebooks in the `notebooks` directory to understand the data structure. Then, extend analyses using Python libraries like pandas, as the package integrates seamlessly with Jupyter environments.

Question 6

Is HASS-data-detective compatible with Home Assistant supervised installations?

Accepted Answer

Yes, as long as the database schema matches (e.g., has states_meta for version 3.0). The README mentions automatic discovery on machines with Home Assistant, but specifics for supervised setups aren't detailed.

HASS-data-detective

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