mne-tools/mne-python
Mar 2026 – Apr 2026
2 Months active
Languages Used
Python
Technical Skills
3D Visualization3D graphicsBug FixingPythonPython programmingTesting
Pragnya
PROFILE
Pragnya
Prag worked on the mne-tools/mne-python repository, delivering four features and two bug fixes over two months focused on 3D visualization and scientific computing. He implemented per-vertex opacity in 3D overlays and optimized cross-spectral density computation, reducing memory usage and improving performance for large datasets. Prag also enhanced text rendering by adding custom font support and expanded OPM coil compatibility in topomap visualizations. His work included targeted bug fixes to improve rendering reliability and code robustness. Using Python and leveraging skills in data visualization, backend development, and testing, Prag contributed solutions that improved both usability and maintainability of the codebase.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
7Total
Bugs
2
Commits
7
Features
4
Lines of code
380
Activity Months2
Your Network
51 peopleShared Repositories
51
Work History
April 2026
3 Commits • 2 Features
Apr 1, 2026April 2026 performance summary for mne-python: Key feature deliveries and robustness improvements focusing on Brain text rendering and OPM topomap visualizations. Highlights include custom font rendering for Brain.add_text, broader OPM coil support in topomaps, and regression tests ensuring robustness of plot_joint and ICA.plot_components.
3 Commits • 2 Features
Apr 1, 2026April 2026 performance summary for mne-python: Key feature deliveries and robustness improvements focusing on Brain text rendering and OPM topomap visualizations. Highlights include custom font rendering for Brain.add_text, broader OPM coil support in topomaps, and regression tests ensuring robustness of plot_joint and ICA.plot_components.
April 2026
March 2026
4 Commits • 2 Features
Mar 1, 2026In 2026-03, delivered two new visualization-focused features for 3D overlays and an optimization in cross-spectral density (CSD) computation, complemented by two reliability-focused bug fixes. The work enhances visualization fidelity, performance, and code robustness, directly supporting smoother analyses and larger datasets.
March 2026
4 Commits • 2 Features
Mar 1, 2026In 2026-03, delivered two new visualization-focused features for 3D overlays and an optimization in cross-spectral density (CSD) computation, complemented by two reliability-focused bug fixes. The work enhances visualization fidelity, performance, and code robustness, directly supporting smoother analyses and larger datasets.
Activity
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Quality Metrics
Correctness100.0%
Maintainability82.8%
Architecture88.6%
Performance85.8%
AI Usage22.8%
Skills & Technologies
Programming Languages
Python
Technical Skills
3D Visualization3D graphicsBug FixingPythonPython programmingTestingbackend developmentdata analysisdata visualizationscientific computingsignal processingtestingunit testingvisualization
Repositories Contributed To
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