OpenTrafficCam/OTAnalytics
May 2025 – May 2025
1 Month active
Languages Used
Python
Technical Skills
Application LogicBackend DevelopmentCode RefactoringCode StandardizationData AnalysisData Visualization
ar0305
PROFILE
Ar0305
Jelle Kuebler enhanced the OTAnalytics repository by focusing on code maintainability, data reliability, and user experience in analytics workflows. He refactored core image counting logic, centralizing and standardizing data classes to improve code clarity and future extensibility. Using Python, Pandas, and Matplotlib, Jelle improved data export robustness by handling missing columns gracefully, ensuring reliable downstream processing. He also introduced a modular plotting architecture, enabling automatic GUI plot updates and decoupling plot saving from visualization logic. These changes strengthened the backend and visualization pipeline, reflecting a thoughtful approach to software design and maintainability within a short development period.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
6Total
Bugs
1
Commits
6
Features
2
Lines of code
707
Activity Months1
Your Network
45 peopleSame Organization
@kit.edu38
Adrian HerrmannMember
Adrien DamseauxMember
ar0305Member
Arne LangeMember
Artur GottmannMember
Benedikt JutzMember
Chia-Lin LinMember
Christian ChwalaMember
DrCWSMember
Shared Repositories
7
ar0305Member
JakobMember
KueblerJelleMember
Lars BriemMember
MichHeiligMember
Steven SchlechteMember
schubsenMember
Work History
May 2025
6 Commits • 2 Features
May 1, 2025May 2025 OTAnalytics: Focus on code health, data reliability, and analytics UX. Delivered key features that strengthen maintainability, data reliability, and visualization capabilities; improved business value through robust data export, clearer code organization, and responsive visualizations across the pipeline.
6 Commits • 2 Features
May 1, 2025May 2025 OTAnalytics: Focus on code health, data reliability, and analytics UX. Delivered key features that strengthen maintainability, data reliability, and visualization capabilities; improved business value through robust data export, clearer code organization, and responsive visualizations across the pipeline.
May 2025
Activity
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Quality Metrics
Correctness83.4%
Maintainability83.4%
Architecture80.0%
Performance66.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Application LogicBackend DevelopmentCode RefactoringCode StandardizationData AnalysisData VisualizationDocumentationMatplotlibModule OrganizationObject-Oriented ProgrammingPandasPythonRefactoringSoftware Design
Repositories Contributed To
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