flipoyo/MOLONARI1D
Nov 2025 – Nov 2025
1 Month active
Languages Used
ArduinoJSONJavaScriptMarkdownPythonSQL
Technical Skills
Arduino ProgrammingData VisualizationDatabase ManagementDependency managementDocumentationGUI Development
ArmanDLF
PROFILE
Armandlf
Armand de Fontenay developed core data platform enhancements for the flipoyo/MOLONARI1D repository, focusing on automated database initialization and robust data ingestion for temperature and voltage measurements. Leveraging Python and SQL, Armand extended the schema, improved data persistence, and introduced a GUI for managing virtual equipment, streamlining both usability and data management. He integrated MQTT dependencies to support messaging and provided detailed documentation for Arduino-Chirpstack integration, facilitating device onboarding. His work included backend and frontend improvements, codebase refactoring for maintainability, and targeted bug fixes, resulting in a more reliable, production-ready IoT data platform with clear setup and configuration pathways.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
19Total
Bugs
1
Commits
19
Features
5
Lines of code
2,600
Activity Months1
Your Network
65 peopleSame Organization
@etu.minesparis.psl.eu20
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Shared Repositories
45
Adam HaïkMember
alexandrenoel20Member
Antoine de La RoncièreMember
Aurélie ReynaudMember
barnabetherondMember
Barnabé ThérondMember
Bastien AvrillonMember
Ombline BrunetMember
Clément GoujonMember
Work History
November 2025
19 Commits • 5 Features
Nov 1, 2025November 2025 monthly summary for flipoyo/MOLONARI1D: Delivered core data platform enhancements, improved data ingestion and startup reliability, and strengthened developer experience through GUI, documentation, and integration guides. Achieved automated DB initialization, expanded schema, better data management, and prepared MQTT/Chirpstack readiness for production deployments.
19 Commits • 5 Features
Nov 1, 2025November 2025 monthly summary for flipoyo/MOLONARI1D: Delivered core data platform enhancements, improved data ingestion and startup reliability, and strengthened developer experience through GUI, documentation, and integration guides. Achieved automated DB initialization, expanded schema, better data management, and prepared MQTT/Chirpstack readiness for production deployments.
November 2025
Activity
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Quality Metrics
Correctness89.4%
Maintainability85.2%
Architecture85.2%
Performance84.2%
AI Usage21.0%
Skills & Technologies
Programming Languages
ArduinoJSONJavaScriptMarkdownPythonSQL
Technical Skills
Arduino ProgrammingData VisualizationDatabase ManagementDependency managementDocumentationGUI DevelopmentIoT DevelopmentJSON handlingLoRaWANMQTTMQTT integrationMQTT protocolPythonPython ProgrammingPython development
Repositories Contributed To
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