mne-tools/mne-python
Nov 2024 – Jan 2026
6 Months active
Languages Used
PythonreStructuredTextShellrstYAMLRST
Technical Skills
Data VisualizationDocumentationTutorial DevelopmentBug FixCI/CDCode Refactoring
Marijn van Vliet
PROFILE
Marijn Van Vliet
Wouter van Vliet contributed to the mne-tools/mne-python repository by developing and refining features focused on data visualization, scientific computing, and robust cross-platform support. Over six months, he enhanced interactive plotting tools, improved fieldmap visualizations with unit-aware scaling, and updated tutorials to clarify analysis pitfalls. He addressed bugs in sensor inclusion logic and Windows system information retrieval, applying Python and shell scripting to ensure compatibility and reliability. His work included refactoring forward modeling code, strengthening test coverage, and maintaining CI/CD pipelines. These efforts resulted in more accurate analyses, improved user experience, and reduced maintenance risk for neuroimaging researchers.
Overall Statistics
Feature vs Bugs
42%Features
Repository Contributions
13Total
Bugs
7
Commits
13
Features
5
Lines of code
1,329
Activity Months6
Your Network
51 peopleShared Repositories
51
Work History
January 2026
1 Commits
Jan 1, 2026January 2026 focused on stabilizing Windows cross-version behavior for system information utilities in mne-python. Delivered a PowerShell 7+ compatibility fix for mne.sys_info() on Windows by dynamically selecting the correct PowerShell executable to run the command, ensuring reliable system information across PowerShell versions and environments. This reduces user friction and support effort for Windows users relying on system information in data workflows.
1 Commits
Jan 1, 2026January 2026 focused on stabilizing Windows cross-version behavior for system information utilities in mne-python. Delivered a PowerShell 7+ compatibility fix for mne.sys_info() on Windows by dynamically selecting the correct PowerShell executable to run the command, ensuring reliable system information across PowerShell versions and environments. This reduces user friction and support effort for Windows users relying on system information in data workflows.
January 2026
September 2025
2 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for mne-tools/mne-python focusing on forward modeling reliability and sphere auto-fit behavior. Delivered a refactor and tests for forward modeling, and resolved a warning/fit path issue to improve robustness and maintainability.
September 2025
2 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for mne-tools/mne-python focusing on forward modeling reliability and sphere auto-fit behavior. Delivered a refactor and tests for forward modeling, and resolved a warning/fit path issue to improve robustness and maintainability.
August 2025
3 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary focused on reliability improvements and visualization enhancements in the MNE-Python project. Delivered targeted bug fixes to sensor inclusion logic and interactive picking, plus an enhancement to topomap sphere fitting options to support additional digitization point types. These changes improve analysis accuracy, user interaction, and plotting flexibility for MEG workflows.
3 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary focused on reliability improvements and visualization enhancements in the MNE-Python project. Delivered targeted bug fixes to sensor inclusion logic and interactive picking, plus an enhancement to topomap sphere fitting options to support additional digitization point types. These changes improve analysis accuracy, user interaction, and plotting flexibility for MEG workflows.
August 2025
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for mne-tools/mne-python highlighting the development of fieldmap visualization with unit-aware scaling on brain models, along with updated tests and robust unit handling.
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for mne-tools/mne-python highlighting the development of fieldmap visualization with unit-aware scaling on brain models, along with updated tests and robust unit handling.
January 2025
5 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for mne-python: Delivered targeted visualization enhancements, API stability, and dependency readiness to support researchers with more reliable and efficient workflows. Key outcomes include: interactive sensor selection in plot_evoked_topo via a new lasso tool; restored vmin/vmax controls for plot_evoked_field when plot_density=False; API compatibility improvements to make the close event parameter optional across MNEAnnotationFigure, MNESelectionFigure, and BrowserBase; and SciPy deprecation compatibility along with CI/dependency updates to maintain ecosystem alignment. These changes reduce user friction, improve exploratory analysis capabilities, and minimize maintenance risk for downstream users.
5 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for mne-python: Delivered targeted visualization enhancements, API stability, and dependency readiness to support researchers with more reliable and efficient workflows. Key outcomes include: interactive sensor selection in plot_evoked_topo via a new lasso tool; restored vmin/vmax controls for plot_evoked_field when plot_density=False; API compatibility improvements to make the close event parameter optional across MNEAnnotationFigure, MNESelectionFigure, and BrowserBase; and SciPy deprecation compatibility along with CI/dependency updates to maintain ecosystem alignment. These changes reduce user friction, improve exploratory analysis capabilities, and minimize maintenance risk for downstream users.
January 2025
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024: Focused on delivering a critical Dipole Orientation tutorial enhancement in mne-python to improve the reliability and interpretability of pooling analyses. Implemented a warning about pooling across dipole orientations, clarifying that default retention of only magnitude can distort averages and oscillatory signals, and added minor 3D view adjustments to enhance visualization. Consolidated around documentation and visualization improvements; no major bug fixes reported this month.
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024: Focused on delivering a critical Dipole Orientation tutorial enhancement in mne-python to improve the reliability and interpretability of pooling analyses. Implemented a warning about pooling across dipole orientations, clarifying that default retention of only magnitude can distort averages and oscillatory signals, and added minor 3D view adjustments to enhance visualization. Consolidated around documentation and visualization improvements; no major bug fixes reported this month.
Activity
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Quality Metrics
Correctness90.0%
Maintainability87.6%
Architecture81.6%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonRSTShellYAMLreStructuredTextrst
Technical Skills
Bug FixBug FixingCI/CDCode RefactoringData VisualizationDependency ManagementDocumentationInteractive PlottingMatplotlibPythonPython DevelopmentPython ScriptingScientific ComputingSignal ProcessingSoftware Engineering
Repositories Contributed To
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