This release brings some great new integrations. The biggest one is the native ZigBee integration by Russell Cloran. This will allow Home Assistant to natively control Philips Hue lights without the need for a hub! (IKEA Tradfri lights not yet due to implementing a different profile)

Another great new addition is OpenCV by Teagan Glenn. So now you’ll be able to unlock all the cool stuff from OpenCV right in Home Assistant. And if OpenCV is not your style, you can try out the new DLib integration added by Pascal Vizeli in this release.

This release also includes a new component to dynamically generate RSS feeds based on a template. This means that any RSS widget on your phone, tablet or computer can now be used to show Home Assistant data!

And finally, for users of the config panel in the UI, we have fixed the issue with the group editor.

Enjoy!

If you need help…

…don’t hesitate to use our very active forums or join us for a little chat. The release notes have comments enabled but it’s preferred if you use the former communication channels. Thanks.

Reporting Issues

Experiencing issues introduced by this release? Please report them in our issue tracker. Make sure to fill in all fields of the issue template.

New integrations

• Pushbullet notification sensor (@jotunacorn - #7182) (sensor.pushbullet docs)
• Add https certificate expiry sensor (@fabfurnari - #7272) (sensor.cert_expiry docs)
• RSS feed template (@micw - #7032) (rss_feed_template docs)
• Add support for Zigbee Home Automation (@rcloran - #6263) (zha docs) (binary_sensor.zha docs) (light.zha docs) (sensor.zha docs) (switch.zha docs)
• Support for Blinkt! lights on Raspberry Pi (@imrehg - #7377) (light.blinkt docs)
• Plant automation (@ChristianKuehnel - #7131) (plant docs)
• Add Eight sleep component (@mezz64 - #7275) (eight_sleep docs) (binary_sensor.eight_sleep docs) (sensor.eight_sleep docs)
• OpenGarage support (@swbradshaw - #7338) (cover.opengarage docs)
• Add Sensibo climate platform (@andrey-git - #7379) (climate docs)
• Pilight binary sensor components (@zeltom - #6774) (binary_sensor.pilight docs)
• Opencv (@Teagan42 - #7261) (opencv docs) (image_processing.opencv docs)
• Enviro pHAT (@imrehg - #7427) (sensor.envirophat docs)
• Add support for face recognition with dlib (@pvizeli - #7421) (image_processing.dlib_face_detect docs) (image_processing.dlib_face_identify docs)

Release 0.44.2 - May 8

• Fix opening add-ons in Hass.io store that are not installed (@balloob)

Release 0.44.1 - May 7

• Fix opening add-ons in Hass.io store that are not installed (@balloob)
• sensor.envirophat: add missing requirement (@imrehg - #7451) (sensor.envirophat docs)
• Forecasts for weather underground (@pezinek - #7062) (sensor.wunderground docs)
• Upgrade pymysensors to 0.10.0 (@MartinHjelmare - #7469)
• Fix plant MIN_TEMPERATURE, MAX_TEMPERATURE validation (@frog32 - #7476) (plant docs)
• Update to pyunifi 2.12 (@finish06 - #7468) (device_tracker.unifi docs)
• MQTT Cover: Fixed status reporting for range with non-zero base (@cribbstechnologies)

Earlier this year I was interviewed by Tobias Macey from Podcast.__init__ about Python and Home Assistant. Just realized that we never shared this on the blog, oops. Here it is, enjoy!

Saw the announcement yesterday for HASSbian 1.21 and got super excited?

Today we’ll flash the latest HASSbian to a Raspbery Pi Zero W. With an added bonus that besides for an USB cable for power, there’s no need for any cables!

What you’ll need:

• a Raspberry Pi Zero W (an amazing tiny computer with built-in wifi)
• a microSD card
• some source of USB power
• Wifi
• a desktop or laptop

Let’s get to it!

First, download the HASSbian 1.21 image from here.

Unzip it.

Flash it to the microSD card. If you need a flash tool, try Etcher

When the flashing finishes, remove it and plug it back in. You should see a drive called “boot”.

Right in there, not in any folders, create a file called wpa_supplicant.conf.

The contents of the configuration file should be something like this: (You may have to adjust for your configuration, hints here )

network={
    ssid="YOUR_WIFI_NETWORK_NAME_HERE"
    psk="YOUR_WIFI_PASSWORD_HERE"
    key_mgmt=WPA-PSK
}

Next stick your SD card into the Raspberry Pi Zero W, and plug it in.

After about a minute, use your SSH client to connect to HASSbian (or hassbian.local from a Mac), with the username pi. The default password is raspberry.

It’s a good idea to change the password. To do so, use the passwd command.

Next, type the following two commands into the SSH console:

$ sudo systemctl enable install_homeassistant.service
$ sudo systemctl start install_homeassistant.service

Wait about 15-20 minutes and voilà you have your Home Assistant on your Raspberry Pi Zero W in 30 minutes.

To try it out, go to http://hassbian:8123 or http://hassbian.local:8123 if you’re using Mac.

For further details about HASSbian, take a look at the documentation.

Hassbian 1.21 - It’s about time isn’t it

Since I, the developer of HASSbian, have been moving, started a new job and so on I’ve had few moments over for HASSbian development. The 1.2 release has been in pre-release for a few months now and just not communicated out that well. Hopefully this release changes that and I’ll do my best to release more often. There’s no simple way to update from 1.1 to 1.21 but 95% of the changes can be done by installing the hassbian-config package. For more information have a look at the hassbian-config page.

Hassbian 1.22 - Sins of last night

Development is sometimes fast and joyful but mistakes are made at times.

With the release of 1.21 a small problem with the OpenZWave build script wasn’t corrected even tough it was a known bug. Problem is simple as it’s only a problem with the symlink created for to the configuration folder for OpenZWave. This has been fixed and we bring some new things since they where ready anyway. The list below has been augmented with the updated information.

Hassbian-config

To allow you to customize your installation further, we have included a tool called hassbian-config. This tool comes with a set of packages that can easily be installed for easier customization of your Home Assistant installation. This replaces the hassbian-scripts functionality from 1.1.

• Install Hue. Configures the Python executable to allow usage of low numbered ports for use with Emulated Hue component thats used with Amazon Echo, Google Home and Mycroft.ai.
• Install Mosquitto MQTT server. Installs the latest Mosquitto package and client tools from the Mosquitto projects official repository. Now includes websocket support.
• Install Libcec. Adds local HDMI CEC support.
• Install Open Z-Wave-pip. Installs Python Open Z-Wave from a pip package. This is the quickest and recommended way of installing Z-Wave support but does not OZWCP pre-installed.
• Install Open Z-Wave. Installs Python Open Z-Wave and OZWCP from git.
• Install Samba. Allows anyone on your network to edit your configuration from any computer. This share is unsecured and it’s usage is not recommended if you share your network with others.
• Install Tellstick. Installs the Tellstick package for controlling and using a connected Tellstick.
• Install Tradfri. Installs dependencies for using IKEA Trådfri.

Spring cleaning

With this image there also quite a bit of cleaning of the base system and the script that generates our Raspberry Pi image.

• Replaced the hassbian-scripts folder with hassbian-config.
• Update pi-gen. Our build script has been upgraded to follow the Raspbian image closer once again. Now you could build this image with Docker if your so inclined.
• Added libtool and autoconf package. Dependencies for some of the pip packages.
• Pi ZeroW should now work with the image.

To follow discussions about the development of the HASSbian image or to contribute join our Discord chat server.

To get started with the new image, check out the installation instructions in the getting started section.

Home Assistant collects volumes of (time series) data that are well suited for some fancy graphs. Although the History component provides some nice plots, I am sure you have always wanted those fancy Grafana plots. The problem, however, is that low-powered device such as Raspberry Pi that most of us use for our Home Assistant setup are not well suited for such operation.

Instead of running InfluxDB and Grafana on a Raspberry Pi or a different system and go through the classic approach of installing both tools separately, you can run them in a Docker container on another machine. For this tutorial, I am using a Synology NAS, but the instructions should apply to other devices that can run Docker. Just follow the steps below:

1. SSH into your NAS. You may have to run sudo su if you are getting permission errors.
2. Download the docker-statsd-influxdb-grafana image using the command: docker pull samuelebistoletti/docker-statsd-influxdb-grafana
3. To start the container for the first-time launch:

   docker run -d \
     --name docker-statsd-influxdb-grafana \
     -p 3003:3003 \
     -p 3004:8083 \
     -p 8086:8086 \
     -p 22022:22 \
     -p 8125:8125/udp \
     samuelebistoletti/docker-statsd-influxdb-grafana:latest
   

4. The image should now be running and both InfluxBD and Grafana should be now up and running.
5. You can access InfluxDB at http://NAS_IP_ADDRESS:3004/ and Grafana at http://NAS_IP_ADDRESS:3003/
6. Navigate to http://NAS_IP_ADDRESS:3004/ and create the database home_assistant using the command CREATE DATABASE home_assistant.

   

7. Now, you need to configure Home Assistant to use InfluxDB. Since, we did not add any username/password to our database, we can simply add the following to our configuration.yaml (replace the IP address with that of the device running Docker) and restart Home Assistant to setup InfluxDB (you will have to fine tune it based on your preferences):

   influxdb:
     host: 192.168.2.113
   

8. Next, we need to configure Grafana to use InfluxDB. Navigate to http://NAS_IP_ADDRESS:3003/ to access Grafana (login with username and password root) and add your first data source. Here’s how you can configure Grafana to use InfluxDB database. Note that 192.168.2.113 is the IP address of my NAS.

   

9. You should see Data source is working if you have configured everything correctly.
10. With all that configured, you are now ready for the fun stuff. You can create as many dashboards as you want and then import the same in Home Assistant.
11. To add the Grafana dashboard in HA, use the following config:

    panel_iframe:
      router:
        title: 'Temperature'
        url: 'http://192.168.2.113:3003/dashboard/db/temperature?edit&tab=time%20range'
    

    The URL can be obtained by clicking Share Dashboard link on your dashboard:

    

We have four submissions for our Hardware Contest 2017.

• Part of IoT-course
• Automating a nursing home!
• Dedicated hardware for coding, testing, building, and contributing to Home Assistant
• HassIO - Home Assistant hub for dummies

The voting is now open. To keep things simple are we using the voting feature of the forum. Vote for your choices.

End of the voting period: April, 30 2017 - 23.59 UTC

Oooh yeah. It’s time for 0.43 and this is going to be a killer release. For the people that have been following on social media, you might have noticed that we got pretty excited about the new IKEA Trådfri line up. And so we are very happy to announce that thanks to the work by @ggravlingen, @MartinHjelmare and myself that this will be the first release to support the IKEA light bulbs. Home Assistant will automatically detect the gateway on your network and after following the instructions, allow you to control your lights.

After automatic discovery, Home Assistant will ask the user to finish pairing with the gateway.

And in case you have missed the other big news: @robbiet480 released the first version of our iOS app! It took a little over a year but it offers some great ways to make your iDevice work with Home Assistant. Big congrats to Robbie for shipping! As with our other parts, the app is open-sourced under APACHE 2 and contributors are welcome. Check it out.

A big shout out this release to @happyleavesaoc for his constant stream of great contributions to Home Assistant. The first contribution was back in October 2015 and since then @happyleavesaoc has been responsible for many platforms and bug fixes including the Spotify platform this release. Thanks @happyleavesaoc, you’re a great example of what makes our community awesome.

The new Spotify integration is based on the new Spotify Connect Playback API. It supports playback, album art and switching which Spotify device you’re controlling.

Also note that you have till the end of the weekend to submit an application to our giveaway of low energy servers which we got when we won the Thomas Krenn award 2017. Go apply!

New Platforms

• MaryTTS platform (@johanpalmqvist - #6988) (tts.marytts docs) (new-platform)
• Telegram bot component (incl. webhook and polling platform) (@sander76 - #6913) (telegram_bot docs) (telegram_bot.polling docs) (telegram_bot.webhooks docs) (breaking change) (new-platform)
• Support fo map data from Neato (@turbokongen - #6939) (neato docs) (camera.neato docs) (sensor.neato docs) (new-platform)
• Support for IKEA Trådfri (@ggravlingen - #7074) (light.tradfri docs) (new-platform)
• MQTT camera (@MrMep - #7092) (camera.mqtt docs) (new-platform)
• LIFX Cloud scene support (@amelchio - #7124) (scene.lifx_cloud docs) (new-platform)
• Spotify media player (@happyleavesaoc - #6980) (media_player.spotify docs) (new-platform)
• JSON MQTT Device tracker (@MrMep - #7055) (new-platform)
• Opensky sensor (@happyleavesaoc - #7061) (sensor.opensky docs) (new-platform)
• Ping binary sensor (@fabaff - #7052) (binary_sensor.ping docs) (new-platform)
• myStrom Wifi Bulbs (@fabaff - #7161) (light.mystrom docs) (new-platform)

Last month IKEA released a new home automation lineup called Trådfri. It consists of white bulbs, dimming remotes, color temperature remotes and motion sensors. After almost two weeks of research, we have come to the conclusion that this is going to be the perfect companion hardware to work with Home Assistant. Here is the gist of our breakdown:

• Works out of the box. You can get started by just buying the already paired light and remote. You only need to buy the gateway if you want to set time-based rules for your lights or use your phone as a remote.
• Local only hub. No cloud that gathers data about how you live your life and it will keep working even if IKEA stops supporting it.
• Based on open standards. It uses Zigbee between devices and CoAP/dTLS to talk to the gateway. This means that you are not locked into a single vendor. You can pair it with Philips Hue bulbs and other compatible vendors.
• Affordable. Lights start at $12 standalone and $20 if bundled with a remote (USA prices).
• Useful design. The gateway has built-in space to hide excess cables and remotes come with magnetic holders for on the wall.
• Able to subscribe to changes (local push). Automations will be able to instantly respond to changes to device states by subscribing to the gateway for changes.
• Full integration in Home Assistant 0.43 (scheduled for release April 22). Our community built a standalone library pytradfri and we use it in Home Assistant. Home Assistant will automatically discover gateways on your network and guide the user to set them up.
• Downside: no integration with other systems yet. There are rumors that Homekit support will land in October and I expect both Google Home and Amazon Echo to eventually add support. Use Home Assistant to connect them all in the meanwhile.
• Semi-downside: you can’t control your lights remotely. Because it’s local only, you won’t be able to control your lights remotely unless via a third-party integration.

Full breakdown available after clicking read more.

(Note: we are not affiliated with IKEA nor do we receive commission for sales. We are just big fans of their new line up!)

1 year and 22 days ago, or 387 days ago, on March 25th, 2016, I started a project to bring Home Assistant to the iPhone.

I thought the existing notification and location solutions were lacking in one way or another and had wanted for years to have a project I could call my own which would allow me to learn iOS development. What better way then implementing an extremely complex application like Home Assistant?

I started with a lot of steam. I remember cranking out the initial work that night and showing Paulus who was astounded at how fast the UI was coming together.

Little would I know how many problems I would create and uncover throughout the process. Writing a mobile app for a project that moves as fast as Home Assistant is… tricky, to say the least. In the time since I started writing the app, Home Assistant had 90 releases. I started writing the day before 0.16 was released. Now we are at 0.42.3. Time flies…

I couldn’t have completed the app without help and input from the community. By the end I had 700 beta testers, of which about 500 were very active in testing the app.

I received emails and forum posts almost every day, even when the app would go without an update for weeks and sometimes months at a time as my life got busier and busier.

I wanted this app to be done 9 months ago, at least, but my drive to add more and more features killed that idea. This really taught me the value of the MVP over the kitchen sink.

It may not look the way that I wanted it to initially, with beautiful native UI components, but thats okay. What I really cared about is there. The notification and location engines are some of the most customizable and powerful available in an iOS app if I do say so myself. I made them this way to keep with the spirit of infinite flexibility that is enshrined in Home Assistant.

Just because the app is released doesn’t mean we are at the end of the road. It’s only the beginning. There’s plenty of bugs to fix still, improvements to make, features to add. Beta testing will continue, and if anything, be expanded. I do want to have a native UI someday, but that’s pretty hard with how fast the project moves.

The biggest request I have is for more developers on the project. As many of you know, I have my hands in many different parts of Home Assistant, from governance and organization to managing the forums to writing this app, managing the Homebridge plugin and even sometimes writing code for the actual core codebase! I can’t do it all, and I’m still a new iOS developer who doesn’t know all the best practices.

The app is open source, has been for the last few months when I first prepared to submit it to Apple for review. I invite Swift developers to come and join me in building it. Trust me, there’s tons to do.

1 year and 22 days ago, on March 25th, 2016 I began work on Home Assistant for iOS.

Today, April 16th, 2017, I am extremely excited to announce that Home Assistant for iOS has been approved by Apple and is now available to download for a monthly subscription starting at $9.99 free! (had to get a joke in here somewhere!) on the iOS App Store in every country.

Please note, you must have Home Assistant 0.42.4 or later installed for the app to function properly.

Thanks for everything so far, I’m looking forward to the road that lies ahead for Home Assistant on iOS!

It’s time for Home Assistant 0.42. This release has been focused on refining the system and fixing a lot of bugs. We have also upgraded to the latest version of our HTTP library which should give us a significant boost serving files and API.

On our social media front, we have crossed the 1000 likes on our Facebook page! Also on the social media front, the YouTube channel diyAutomate has been putting out a lot of great getting started videos about Home Assistant, go check them out!

Also want to take a moment to thank Austin Andrews aka Templarian for his Material Design Icons. He is part of what makes Home Assistant so beautiful 🤗.

New integrations

• Lockitron locks (@aarya123 - #6805)
• Met Office weather and sensor components (@jacobtomlinson - #6742)
• Total Connect alarm systems (@wardcraigj - #6887)
• Eddystone Beacon Temperature Sensor (@citruz - #6789)
• CrimeReports.com integration shows crimes around a location in the US (@happyleavesaoc - #6966)
• The Ring doorbell has been integrated further with the inclusion of binary sensors (@tchellomello - #6520)