TonyKat007/Astral-trails
Jul 2025 – Jul 2025
1 Month active
Languages Used
HTMLJSONJavaScriptPython
Technical Skills
API IntegrationCode CleanupData AnalysisData ProcessingData VisualizationFile Handling
IqraAfreen602
PROFILE
Iqraafreen602
Developed and enhanced the Astral-trails repository by delivering four user-facing features focused on real-time space weather monitoring and visualization. Leveraged Python, Streamlit, and Folium to integrate NOAA data sources, enabling dynamic displays of proton flux, X-ray flux, and Kp Index values. Improved data reliability and access speed by switching to local JSON sources and refining error handling. Introduced interactive mapping for solar flare activity and global radiation risk, enriching the user experience with Matplotlib-powered visualizations. Addressed maintainability through targeted code cleanup and UI adjustments, resulting in a more robust, accessible, and production-ready platform for space weather insights.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
18Total
Bugs
1
Commits
18
Features
4
Lines of code
990
Activity Months1
Your Network
11 peopleWork History
July 2025
18 Commits • 4 Features
Jul 1, 2025July 2025 monthly summary for TonyKat007/Astral-trails: Delivered four user-facing features, one code/UI cleanup, and groundwork for production-grade data ingestion. Focused on stabilizing data sources, enriching visualizations, and integrating real-time NOAA data to empower operators with actionable space weather insights. Key outcomes include improved reliability, faster data access, richer visuals, and a maintainable codebase.
18 Commits • 4 Features
Jul 1, 2025July 2025 monthly summary for TonyKat007/Astral-trails: Delivered four user-facing features, one code/UI cleanup, and groundwork for production-grade data ingestion. Focused on stabilizing data sources, enriching visualizations, and integrating real-time NOAA data to empower operators with actionable space weather insights. Key outcomes include improved reliability, faster data access, richer visuals, and a maintainable codebase.
July 2025
Activity
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Quality Metrics
Correctness87.8%
Maintainability87.8%
Architecture83.4%
Performance82.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
HTMLJSONJavaScriptPython
Technical Skills
API IntegrationCode CleanupData AnalysisData ProcessingData VisualizationFile HandlingFoliumFront End DevelopmentMappingMatplotlibPandasStreamlitWeb Development
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