bramstroker/homeassistant-powercalc
Jan 2026 – Jan 2026
1 Month active
Languages Used
JSONPython
Technical Skills
Configuration ManagementIoT DevelopmentJSON schema designPythonPython programmingbackend development
Jonas Dambacher
PROFILE
Jonas Dambacher
During January 2026, J. Dambacher contributed to the bramstroker/homeassistant-powercalc repository by expanding device energy measurement capabilities and refining analytics for home automation. He developed and configured new energy profiles for Govee and Aqara devices, enabling accurate power calculations and supporting high-resolution data collection. Using Python and JSON schema design, he improved backend data modeling and visualization, focusing on energy and efficiency metrics while deprecating less relevant brightness analytics. Dambacher also addressed configuration management by cleaning up presence sensor settings and restoring model.json integrity, resulting in more reliable, maintainable measurement workflows and aligning the project with a measurement-centric direction.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
10Total
Bugs
1
Commits
10
Features
3
Lines of code
81
Activity Months1
Your Network
70 peopleSame Organization
@basecom.de2
Work History
January 2026
10 Commits • 3 Features
Jan 1, 2026January 2026 performance summary for bramstroker/homeassistant-powercalc: Key deliverables focused on expanding device coverage for energy measurement, improving data quality and measurement metrics, and aligning analytics with a measurement-centric direction. The work emphasized reliability, maintainability, and clear business value through accurate energy calculations and streamlined dashboards.
10 Commits • 3 Features
Jan 1, 2026January 2026 performance summary for bramstroker/homeassistant-powercalc: Key deliverables focused on expanding device coverage for energy measurement, improving data quality and measurement metrics, and aligning analytics with a measurement-centric direction. The work emphasized reliability, maintainability, and clear business value through accurate energy calculations and streamlined dashboards.
January 2026
Activity
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Quality Metrics
Correctness96.0%
Maintainability96.0%
Architecture96.0%
Performance96.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONPython
Technical Skills
Configuration ManagementIoT DevelopmentJSON schema designPythonPython programmingbackend developmentconfiguration managementdata analysisdata modelingdata visualizationdevice configurationenergy efficiencyhome automation
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