Think of myHouse as a framework for collecting statistics and automating your house
Plugin-based architecture
Collect data from a number of sensors by leveraging a simple to customize plugin-based architecture
Analytics Engine
Automatic calculation of hourly and daily minimum/maximum/average values for each sensor
Responsive Web Interface
Fully customizable web interface with mobile support to display the sensors' statistics, control actuators and present custom data
Voice Interaction
Speech recognition and text-to-speech capabilities for realtime voice interaction
Slack Integration
Natural-language interactive Slack bot for remotely retrieving any statistic, send commands or just having fun
Alerts and Notifications
Alerting module generating e-mails or Slack notifications whenever a configured condition is met
Screenshots
What will be presented in the web interface is completely up to you. You can define your own modules, chose your icons and configure all the widgets that will be presented in the order you like the most.
Dashboard
Indoor module
Outdoor module
Boiler control panel
Slack interaction
Daily e-mail digest
Download
To simplify the installation process, myHouse is available as a Docker image.
Install Docker
Docker is a great tool used to run software packages isolated from each other and bundle applications, tools and required libraries. To install Docker follow the instructions at https://docs.docker.com/install/ or run curl -sSL https://get.docker.com | sh
Download myHouse
Download the latest version of myHouse by running docker pull myhouseproject/myhouse
Configure myHouse
Create a configuration file called config.json taking inspiration from the provided config-example.json and config-advanced.json files. For more information review the User Manual
Run it!
Create a directory called conf and place inside your config.json file, create an empty directory called data and run docker run --rm -p 80:80 -v $(pwd)/conf:/conf -v $(pwd)/data:/data myhouseproject/myhouse For more information and other available options visit Docker Hub
Access The Web Interface
Support
Configuration, FAQ and Examples
User Manual
Installation and Deployment
Docker Hub
Contribute, report an issues
GitHub
Dashboard
What will be presented in the web interface is completely up to you. You can define your own modules, chose your icons and configure all the widgets that will be presented in the order you like the most
Indoor Module
The statistics elaborated by the tool can be presented in a number of ways: timeline charts for different group of sensors with recent or historical data, current measures and minimum/maximum values for today and yesterday are just some of the examples.
Outdoor Module
A sample outdoor module can be configured to present information such as the forecast of the next 5 days, temperature ranges, weather conditions, chance of rain and snow. External temperature summary with current weather condition, minimum/maximum of today, yesterday, record and normal temperatures
External temperature recent and historical (with daily minimum/average/maximum) timeline with weather condition. Historical precipitation timeline, wind, humidity, ambient Light and pressure information
Boiler Control
From the interface your actuators can be controlled as well: thanks to input fields, switches and a fully-featured scheduler, you can meet easily whatever requirements you might have. For example you can visualize the boiler status, manual switch to power it on/off and target temperature to reach while on as well as a calendar to schedule when the boiler has to automatically turns on and off
Slack Interaction
Collecting and presenting statistics is nice but you may want to be automatically alerted whenever a specific situation is taking place. A slack notification is sent whenever an alert triggers. A slack bot connects to a configured team and channel and allows realtime interaction
Daily e-mail digest
Daily e-mail digests containing all the UI widgets configured for the requeted module
