TonyKat007/Astral-trails
Jul 2025 – Jul 2025
1 Month active
Languages Used
JinjaMatplotlibNumPyPython
Technical Skills
Data VisualizationPythonScientific ComputingSimulationStreamlit
idontgievaoof
PROFILE
Idontgievaoof
Rucha Pimpalkar developed an Enhanced Radiation Effects Dashboard for the TonyKat007/Astral-trails repository, focusing on consolidating radiation analytics for electronics in mission environments. She implemented Monte Carlo SEU visualization and mission-profile-based SEU rate calculations, refining input handling and updating documentation to guide users through the new analytics. The work involved backend and UI changes, with several updates to app.py to stabilize and integrate these features. Using Python, Streamlit, and scientific computing libraries such as NumPy and Matplotlib, Rucha delivered a focused feature that deepened the dashboard’s analytical capabilities, though the scope was limited to a single feature over the month.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
110
Activity Months1
Your Network
11 people
Work History
July 2025
3 Commits • 1 Features
Jul 1, 2025Monthly work summary for 2025-07 focusing on delivering Enhanced Radiation Effects Dashboard improvements for TonyKat007/Astral-trails. Consolidated radiation analytics: Monte Carlo SEU visualization in the electronics tab, mission-profile-based SEU rate calculations with refined inputs, and a documentation update in the electronics tab. Backend/UI changes were implemented to support these analytics, with multiple app.py updates to stabilize and integrate the dashboard features.
3 Commits • 1 Features
Jul 1, 2025Monthly work summary for 2025-07 focusing on delivering Enhanced Radiation Effects Dashboard improvements for TonyKat007/Astral-trails. Consolidated radiation analytics: Monte Carlo SEU visualization in the electronics tab, mission-profile-based SEU rate calculations with refined inputs, and a documentation update in the electronics tab. Backend/UI changes were implemented to support these analytics, with multiple app.py updates to stabilize and integrate the dashboard features.
July 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability86.6%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JinjaMatplotlibNumPyPython
Technical Skills
Data VisualizationPythonScientific ComputingSimulationStreamlit
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