gafusion/omas
Oct 2024 – Mar 2026
3 Months active
Languages Used
PythonYAML
Technical Skills
CI/CDData AcquisitionData VisualizationPlasma PhysicsPlasma Physics Data AnalysisPython Environment Management
Sterling Smith
PROFILE
Sterling Smith
Worked on the gafusion/omas repository to deliver robust data analysis and visualization features for plasma physics applications. Developed and enhanced plotting functions using Python and Matplotlib, integrating multiple data sources to improve the accuracy and clarity of equilibrium and core plasma profile visualizations. Improved CI/CD workflows with automated Python packaging and deployment via GitHub Actions, streamlining releases to PyPI and ensuring compatibility across Python versions. Refactored data processing utilities to support automated handling of plasma data, including safeguards for data integrity and traceability. Focused on scientific computing, the work emphasized reliability, maintainability, and efficient distribution of analysis tools.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
8Total
Bugs
2
Commits
8
Features
4
Lines of code
14,876,832
Activity Months3
Your Network
14 peopleSame Organization
@fusion.gat.com6
Work History
March 2026
2 Commits • 2 Features
Mar 1, 2026March 2026 (gafusion/omas): Focused on delivering automated release capabilities and data processing improvements to drive faster, more reliable deployments and easier distribution. Major bugs fixed: none reported this month. Technologies/skills demonstrated: GitHub Actions CI/CD, Python packaging (PyPI), and OMAS data processing configuration.
2 Commits • 2 Features
Mar 1, 2026March 2026 (gafusion/omas): Focused on delivering automated release capabilities and data processing improvements to drive faster, more reliable deployments and easier distribution. Major bugs fixed: none reported this month. Technologies/skills demonstrated: GitHub Actions CI/CD, Python packaging (PyPI), and OMAS data processing configuration.
March 2026
November 2024
2 Commits • 1 Features
Nov 1, 2024Monthly summary for 2024-11 focused on gafusion/omas CAKE visualization enhancements for equilibrium plots. Delivered a new plotting function to visualize equilibrium cross-sections, pressure profiles, and convergence errors; refactored plotting utilities for consistent pulse number formatting; added safeguards to prevent plotting negative radial coordinates. Enhanced CAKE visualization tooling for more robust fusion plasma data analysis and improved traceability in core_pressure_quality visuals.
November 2024
2 Commits • 1 Features
Nov 1, 2024Monthly summary for 2024-11 focused on gafusion/omas CAKE visualization enhancements for equilibrium plots. Delivered a new plotting function to visualize equilibrium cross-sections, pressure profiles, and convergence errors; refactored plotting utilities for consistent pulse number formatting; added safeguards to prevent plotting negative radial coordinates. Enhanced CAKE visualization tooling for more robust fusion plasma data analysis and improved traceability in core_pressure_quality visuals.
October 2024
4 Commits • 1 Features
Oct 1, 2024October 2024 monthly summary for gafusion/omas: Delivered data accuracy improvement, enhanced plotting capabilities with cross-source data integration, and hardened Python-version support for installation across multiple runtimes. These workstreams improved model accuracy, visualization reliability, and deployment stability, driving business value in model fidelity, user insights, and developer productivity.
4 Commits • 1 Features
Oct 1, 2024October 2024 monthly summary for gafusion/omas: Delivered data accuracy improvement, enhanced plotting capabilities with cross-source data integration, and hardened Python-version support for installation across multiple runtimes. These workstreams improved model accuracy, visualization reliability, and deployment stability, driving business value in model fidelity, user insights, and developer productivity.
October 2024
Activity
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Quality Metrics
Correctness86.2%
Maintainability90.0%
Architecture82.6%
Performance85.0%
AI Usage22.6%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
CI/CDContinuous IntegrationData AcquisitionData AnalysisData VisualizationDevOpsMatplotlibPlasma PhysicsPlasma Physics Data AnalysisPlotting LibrariesPythonPython Environment ManagementPython PackagingPython programmingScientific Computing
Repositories Contributed To
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