A customizable, space-efficient thermostat card for Home Assistant's Lovelace UI with modular sensor integration.
Simple Thermostat is a custom card for the Home Assistant Lovelace dashboard that provides an alternative interface for controlling climate entities. It solves the problem of the default thermostat card being too large or inflexible by offering a compact, modular design where users can embed related sensor data and customize the layout extensively.
Home Assistant users who want a more compact, customizable, and information-dense thermostat interface on their Lovelace dashboards.
Developers choose this card for its superior space efficiency, high degree of customization (layout, sensors, controls), and the ability to display relevant contextual data (like energy usage) directly alongside temperature controls.
A different take on the thermostat card for Home Assistant ♨️
Offers row or column layouts and a header-less 'compact mode' to save dashboard space, as demonstrated in the README with configuration examples like setting header and control to false.
Allows embedding of sensor values such as humidity or energy usage directly on the card, enabling users to see relevant data at a glance without switching views.
Provides detailed configuration for HVAC, fan, preset, and swing modes, letting users fine-tune display and behavior, as shown in the control config examples.
Uses CSS custom properties for easy visual customization through themes or card-mod, with documented variables like --st-font-size-xl and --st-mode-active-background.
The 2.0 release introduced significant breaking changes, requiring users to manually update YAML configurations, which can lead to migration headaches and downtime.
Extensive configuration options demand familiarity with YAML syntax, making it less accessible for users who prefer graphical interfaces or have limited coding experience.
While HACS is supported, manual installation involves downloading and placing files in the www folder, which is error-prone and less streamlined compared to automated methods.
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