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Merge pull request #123 from fabaff/patch-2
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robmarkcole authored Aug 28, 2020
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[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black)

## Introduction
The `HASS-data-detective` package provides classes and functions to help you explore and analyse the data in your Home Assistant database. If you are using [Hassio](https://www.home-assistant.io/hassio/), it will automatically discover your database and by default collect information about the entities in your database. See the notebooks directory for examples of using the detective package.
The `HASS-data-detective` package provides classes and functions to help you explore and analyse the data in your Home Assistant database. If you are using [Home Assistant (former Hass.io)](https://www.home-assistant.io/hassio/), it will automatically discover your database and by default collect information about the entities in your database. See the notebooks directory for examples of using the detective package.

## Installation on your machine
You can either: `pip install HASS-data-detective` for the latest released version from pypi, or `pip install git+https://github.com/robmarkcole/HASS-data-detective.git --upgrade` for the bleeding edge version from github. Note that due to the matplotlib dependency, libfreetype6-dev is a requirement on `aarch64` platforms (i.e. RPi).
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You can try out the latest version of detective from pypi without installing anything. If you click on the 'launch binder' button above, detective will be started in a Docker container online using the [Binderhub](https://binderhub.readthedocs.io) service. Run the example notebook to explore detective, and use the `Upload` button to upload your own `home-assistant_v2.db` database file for analysis. Note that all data is deleted when the container closes down, so this service is just for trying out detective.

## Contributors
Big thanks to [@balloob](https://github.com/balloob) and [@frenck](https://github.com/frenck), checkout their profiles!
Big thanks to [@balloob](https://github.com/balloob) and [@frenck](https://github.com/frenck), checkout their profiles!

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