--- id: aiohomematic-config version: "2026.8.0" license: MIT License license_treatment: permissive maintenance: active --- # aiohomematic-config — Presentation-layer library for Homematic device configuration UI. License: permissive · Maintenance: active · Downloads: 231.7K/mo ## What it is and what it does aiohomematic-config is a presentation-layer library that bridges Homematic device configuration data and UI rendering. It takes paramset descriptions and current device values from aiohomematic, then generates Pydantic-backed form schemas optimized for display in a configuration UI. The library handles grouping flat parameter lists into logical sections, mapping technical parameter IDs to human-readable labels, and selecting appropriate widget types for each parameter. The package operates purely on data structures—it does not communicate with a CCU or make RPC calls. It includes components for schema generation, parameter grouping, label resolution, change tracking with undo/redo support, and configuration serialization. Output is JSON-serializable Pydantic models, making it straightforward to send schemas to a frontend or API consumer. Use it for: - Generate form schemas for a Homematic device configuration web UI from paramset metadata and current values. - Map device parameter types to appropriate UI widgets (dropdown, text input, slider, etc.) automatically. - Group flat parameter lists into logical sections for better UX in device configuration interfaces. - Track configuration changes with undo/redo and dirty-state detection during a user's editing session. - Serialize and deserialize device configurations for storage or transmission between systems. ## Worth the install? AI-flagged interpretation of the facts above — verify before relying. Transforms Homematic device paramset descriptions into UI-ready form schemas using Pydantic models, without requiring RPC or CCU access. Yes, if you are building a Homematic device configuration UI and need to transform paramset data into form schemas. The low install friction, active maintenance, and permissive MIT license make it a straightforward choice. Be aware it is in early alpha (API may shift) and requires Python 3.14, which is not yet widely deployed—verify your target environment supports it before committing. ## Install pip install aiohomematic-config uv add aiohomematic-config poetry add aiohomematic-config ## Installing aiohomematic-config Before you install: Low install friction; pure Python wheel with three runtime dependencies. Active maintenance with recent release (13 days old) and passing test suite. Early alpha status (Development Status :: 3) means the API may shift. License in practice: MIT License permits commercial and private use with minimal restrictions; you must retain the license notice in distributions. Quickstart: from aiohomematic_config import FormSchemaGenerator generator = FormSchemaGenerator(locale="en") schema = generator.generate( descriptions=descriptions, current_values=current_values, channel_type="HEATING_CLIMATECONTROL_TRANSCEIVER", ) print(schema.model_dump_json(indent=2)) Requires Python 3.14 or later (capped_below_current); aiohomematic and openccu-data must be installed first. Verify before relying: - Whether the package supports locales beyond English and German despite declaring both in classifiers. - What the undo/redo and dirty-state tracking in ConfigSession actually persist to or whether they are in-memory only. - Whether FormSchemaGenerator's output is compatible with common web form frameworks or if it requires custom rendering. ## Package facts - License: MIT License (permissive) - Python support: capped_below_current - Install friction: low - Maintenance: active - Downloads: 231.7K/month (top 15,000 on PyPI) - Known vulnerabilities: none known ## Tags homematic device configuration ui, paramset to form schema, home automation config generator, homematic ui schema builder, device parameter ui mapping, homematic configuration presentation, paramset form transformation, home-automation, ui-schema-generation, pydantic [View on SkillFed](https://skillfed.io/packages/aiohomematic-config) · [View on PyPI](https://pypi.org/project/aiohomematic-config/)