cositools/cosipy
Mar 2025 – Apr 2025
2 Months active
Languages Used
PythonJupyter NotebookYAML
Technical Skills
Bug FixingClass MethodsData CleaningData HandlingData IOData Processing
Christopher M. Karwin
PROFILE
Christopher M. Karwin
Over two months, Chris Karwin enhanced the cositools/cosipy repository by building robust data handling and visualization features using Python, Jupyter Notebook, and YAML. He introduced livetime support in spacecraft interval processing, ensuring accurate downstream analytics by slicing and updating livetime as intervals change. Chris improved photon data validation and error handling, adding safeguards for missing or malformed data to prevent crashes and incorrect filtering. He refactored plotting routines to respect coordinate systems and missing orientation data, and stabilized tutorials by fixing syntax and configuration errors. His work emphasized code quality, maintainability, and reliability through targeted bug fixes and explicit test imports.
Overall Statistics
Feature vs Bugs
40%Features
Repository Contributions
17Total
Bugs
3
Commits
17
Features
2
Lines of code
232
Activity Months2
Your Network
25 peopleSame Organization
@discover13.prv.cube1
Work History
April 2025
5 Commits • 1 Features
Apr 1, 2025April 2025 (cosipy): Stabilized tutorials and strengthened test quality in cosipy. Delivered targeted fixes to ensure tutorials run reliably and data integrity is preserved, while also tightening test imports to reduce dependencies and improve maintainability. The work supports faster release cycles, better user trust, and lower maintenance costs.
5 Commits • 1 Features
Apr 1, 2025April 2025 (cosipy): Stabilized tutorials and strengthened test quality in cosipy. Delivered targeted fixes to ensure tutorials run reliably and data integrity is preserved, while also tightening test imports to reduce dependencies and improve maintainability. The work supports faster release cycles, better user trust, and lower maintenance costs.
April 2025
March 2025
12 Commits • 1 Features
Mar 1, 2025March 2025 cosipy monthly summary focusing on delivering robust data handling and plotting reliability to enable accurate downstream analytics and reduce processing errors. Key work included livetime support in SpacecraftFile interval handling, robust photon data validation in UnBinnedData, and plotting improvements that respect coordinate systems and missing orientation data.
March 2025
12 Commits • 1 Features
Mar 1, 2025March 2025 cosipy monthly summary focusing on delivering robust data handling and plotting reliability to enable accurate downstream analytics and reduce processing errors. Key work included livetime support in SpacecraftFile interval handling, robust photon data validation in UnBinnedData, and plotting improvements that respect coordinate systems and missing orientation data.
Activity
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Quality Metrics
Correctness82.4%
Maintainability83.6%
Architecture73.0%
Performance68.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPythonYAML
Technical Skills
Bug FixingClass MethodsCode OptimizationConfiguration ManagementData CleaningData HandlingData IOData ProcessingData ValidationData VisualizationDebuggingDocumentationError HandlingFile HandlingFile I/O
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline