The glances integration allows you to monitor the system information provided by the Glances API. This enables one to track remote host and display their stats in Home Assistant.


These sensors needs a running instance of glances on the host. The minimal supported version of glances is 2.3. To start a Glances RESTful API server on its default port 61208 then test you can use the following command:

$ sudo glances -w
Glances web server started on

Check if you are able to access the API located at http://IP_ADRRESS:61208/api/3. Don’t use -s as this will start the XML-RPC server on port 61209. Home Assistant only supports the REST API of GLANCES.

The details about your memory usage is provided as a JSON response. If so, you are good to proceed.

$ curl -X GET http://IP_ADDRESS:61208/api/3/mem/free
{"free": 203943936}

If this doesn’t work, try changing the 3 to 2, if you don’t have the latest version of Glances installed.

For details about auto-starting glances, please refer to Start Glances through Systemd.


To add the Glances integration to your Home Assistant instance, use this My button:

Integration entities

Glances integration will add the following sensors if available in the platform:

  • For each detected disk (or mount point) the following sensors will be created:
    • disk_use_percent: The used disk space in percent.
    • disk_use: The used disk space.
    • disk_free: The free disk space.
  • memory_use_percent: The used memory in percent.
  • memory_use: The used memory.
  • memory_free: The free memory.
  • swap_use_percent: The used swap space in percent.
  • swap_use: The used swap space.
  • swap_free: The free swap space.
  • processor_load: The load.
  • process_running: The number of running processes.
  • process_total: The total number of processes.
  • process_thread: The number of threads.
  • process_sleeping: The number of sleeping processes.
  • cpu_use_percent: The used CPU in percent.
  • sensor_temp: A temperature sensor for each device that provides temperature (depends on platform).
  • docker_active: The count of active Docker containers.
  • docker_cpu_use: The total CPU usage in percent of Docker containers.
  • docker_memory_use: The total memory used by Docker containers.
  • For each detected raid the following sensors will be created:
    • raid_available: The number of available devices for the raid.
    • raid_used: The number of devices used by the raid.

Not all platforms are able to provide all metrics. For instance the cpu temp sensor requires installing and configuring lmsensors in Ubuntu, and may not be available at all in other platforms.