hiddenSymmetries/simsopt
May 2025 – Jan 2026
3 Months active
Languages Used
PythonRSTFortranCMakeDockerfileJSONYAML
Technical Skills
DocumentationNumerical OptimizationNumerical SimulationPythonRandom Number GenerationScientific Computing
Chris
PROFILE
Chris
Worked on the hiddenSymmetries/simsopt repository, delivering features and fixes that improved scientific simulation reliability and data workflows. Developed a robust QUASR data access pathway, expanded test coverage with both Python and C++ tests, and stabilized core behaviors for safer deployments. Enhanced documentation for MHD integration and standardized random number generation using numpy’s PCG64DXSM, wrapped in a Generator class. Addressed SPEC simulation convergence issues by updating default parameters, ensuring reproducible results. Leveraged skills in Python, CMake, and Docker to strengthen CI/CD pipelines, improve caching mechanisms, and streamline data handling, resulting in more maintainable, reproducible, and user-friendly scientific software.
Overall Statistics
Feature vs Bugs
42%Features
Repository Contributions
31Total
Bugs
7
Commits
31
Features
5
Lines of code
546,119
Activity Months3
Your Network
141 peopleShared Repositories
19
Work History
January 2026
21 Commits • 3 Features
Jan 1, 2026In January 2026, the team delivered a robust QUASR data access pathway for simsopt, strengthened test coverage across get_data and related components, stabilized core behaviors, expanded the test suite to include C++ tests, and aligned CI with Python 3.13. These efforts improve data reliability, reproducibility, and performance, enabling safer production deployments and faster development cycles.
21 Commits • 3 Features
Jan 1, 2026In January 2026, the team delivered a robust QUASR data access pathway for simsopt, strengthened test coverage across get_data and related components, stabilized core behaviors, expanded the test suite to include C++ tests, and aligned CI with Python 3.13. These efforts improve data reliability, reproducibility, and performance, enabling safer production deployments and faster development cycles.
January 2026
July 2025
1 Commits
Jul 1, 2025July 2025 monthly summary for the hiddenSymmetries/simsopt repository highlighting stability improvements to SPEC Simulation defaults and the associated convergence fix for low-resolution runs. The changes improve reliability of default simulations and reproducibility for downstream analyses, aligned with upstream SPEC updates.
July 2025
1 Commits
Jul 1, 2025July 2025 monthly summary for the hiddenSymmetries/simsopt repository highlighting stability improvements to SPEC Simulation defaults and the associated convergence fix for low-resolution runs. The changes improve reliability of default simulations and reproducibility for downstream analyses, aligned with upstream SPEC updates.
May 2025
9 Commits • 2 Features
May 1, 2025May 2025 monthly performance for hiddenSymmetries/simsopt focused on improving usability, reliability, and reproducibility. Delivered two major feature initiatives with clear business value: (1) Documentation updates for MHD integration and interfaces (VMEC/SPEC), installation guidance, examples, diagnostics, and general readability improvements across MHD-related documentation; (2) RNG overhaul transitioning to numpy PCG64DXSM, wrapped in a Generator class, with a standardized RNG API and accompanying test and documentation updates. These efforts reduce onboarding time, minimize configuration errors, and strengthen cross-library consistency for stochastic components.
9 Commits • 2 Features
May 1, 2025May 2025 monthly performance for hiddenSymmetries/simsopt focused on improving usability, reliability, and reproducibility. Delivered two major feature initiatives with clear business value: (1) Documentation updates for MHD integration and interfaces (VMEC/SPEC), installation guidance, examples, diagnostics, and general readability improvements across MHD-related documentation; (2) RNG overhaul transitioning to numpy PCG64DXSM, wrapped in a Generator class, with a standardized RNG API and accompanying test and documentation updates. These efforts reduce onboarding time, minimize configuration errors, and strengthen cross-library consistency for stochastic components.
May 2025
Activity
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Quality Metrics
Correctness93.0%
Maintainability89.0%
Architecture87.8%
Performance87.8%
AI Usage21.4%
Skills & Technologies
Programming Languages
CMakeDockerfileFortranJSONPythonRSTYAML
Technical Skills
API integrationC++ integrationCI/CDCMakeContinuous IntegrationDevOpsDockerDocumentationImport ManagementNumerical OptimizationNumerical SimulationPlasma Physics SimulationPythonPython DevelopmentPython programming
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