cositools/cosipy
May 2025 – Feb 2026
4 Months active
Languages Used
RSTPython
Technical Skills
DocumentationGitHub ActionsPythonPython programmingdata processingscientific computing
Negro Michela
PROFILE
Negro Michela
Worked on the cositools/cosipy repository, delivering features and fixes that improved scientific data processing and analysis workflows. Focused on enhancing polarization analysis, dynamic data binning, and developer onboarding, the work included implementing configurable ASAD binning by reading parameters from response files, refining the PolarizationStokes class for better maintainability, and updating test suites to support new data formats. Leveraged Python, Jupyter Notebook, and GitHub Actions to expand unit testing, streamline documentation, and modernize the codebase. These contributions reduced technical debt, improved test reliability, and enabled more flexible, robust analytics pipelines for downstream reporting and reproducible scientific results.
Overall Statistics
Feature vs Bugs
71%Features
Repository Contributions
12Total
Bugs
2
Commits
12
Features
5
Lines of code
113,349
Activity Months4
Your Network
63 peopleShared Repositories
35
Abhijeet NardeleMember
Koothodil Abhijith AugustintineMember
abhijeet nardeleMember
Alberto SciaccalugaMember
Andreas ZoglauerMember
Ashwin AravindarajMember
Gus ThomasMember
Christopher M. KarwinMember
Christopher M. KarwinMember
Work History
February 2026
5 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary focusing on delivering robust polarization analysis and data-format interoperability for cosipy. The work centered on refining polarization handling, expanding test coverage, and modernizing the codebase for maintainability and reliability across the data processing pipeline.
5 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary focusing on delivering robust polarization analysis and data-format interoperability for cosipy. The work centered on refining polarization handling, expanding test coverage, and modernizing the codebase for maintainability and reliability across the data processing pipeline.
February 2026
January 2026
4 Commits • 1 Features
Jan 1, 2026January 2026 (2026-01) monthly summary for cosipy in cositools. This period delivered targeted feature enhancements and critical fixes to polarization workflows, with a clear focus on business value, reliability, and maintainability. Key changes include API simplification, extended testing, and improvements in data handling and visualization.
January 2026
4 Commits • 1 Features
Jan 1, 2026January 2026 (2026-01) monthly summary for cosipy in cositools. This period delivered targeted feature enhancements and critical fixes to polarization workflows, with a clear focus on business value, reliability, and maintainability. Key changes include API simplification, extended testing, and improvements in data handling and visualization.
December 2025
2 Commits • 1 Features
Dec 1, 2025December 2025: Delivered configurable ASAD binning in cosipy by reading the bin count from response files instead of a fixed 20-bin setting; added workflow documentation and unit tests; updated data handling to support dynamic binning for flexible data processing. This reduces hard-coded behavior, improves data fidelity, and enables more adaptable analytics pipelines for downstream reporting.
2 Commits • 1 Features
Dec 1, 2025December 2025: Delivered configurable ASAD binning in cosipy by reading the bin count from response files instead of a fixed 20-bin setting; added workflow documentation and unit tests; updated data handling to support dynamic binning for flexible data processing. This reduces hard-coded behavior, improves data fidelity, and enables more adaptable analytics pipelines for downstream reporting.
December 2025
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for cosipy (cositools/cosipy): Focused on improving unit testing documentation to streamline local setup and CI readiness for developers.
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for cosipy (cositools/cosipy): Focused on improving unit testing documentation to streamline local setup and CI readiness for developers.
Activity
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Quality Metrics
Correctness93.4%
Maintainability88.4%
Architecture88.4%
Performance88.4%
AI Usage23.4%
Skills & Technologies
Programming Languages
PythonRST
Technical Skills
DocumentationGitHub ActionsJupyter NotebookPythonPython programmingdata analysisdata processingscientific computingtestingunit testing
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