silx-kit/silx
Apr 2025 – Apr 2025
1 Month active
Languages Used
Python
Technical Skills
Bug FixingData VisualizationGUI Development
Maciej Jankowski
PROFILE
Maciej Jankowski
Maciej Jankowski contributed to the silx-kit/silx repository by refining the user experience for ellipse masking within the GUI, focusing on clarity and usability. He addressed a longstanding issue where the tooltip misrepresented the masking functionality, updating it to accurately describe ellipse masking and thereby reducing user confusion. Using Python and PyQt, Maciej also experimented with a performance safeguard by adding a warning dialog before plotting large 3D cube data, but after evaluation, reverted the change to maintain workflow fluidity. His work demonstrated careful debugging, disciplined version control, and a thoughtful approach to balancing user guidance with performance considerations.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
1
Lines of code
40
Activity Months1
Your Network
42 people
Work History
April 2025
3 Commits • 1 Features
Apr 1, 2025April 2025 — Silx (silx-kit/silx) focused on refining user experience for ellipse masking and evaluating a performance safeguard for large data plots. Key UX fix: clarified the tooltip for ellipse masking to reflect actual functionality, reducing user confusion and potential support overhead. Experimental UX safeguard: introduced a warning dialog before plotting large 3D cube data to protect performance; the change was reverted to preserve smooth workflows, demonstrating prudent testing and risk mitigation. Overall, delivered precise UI feedback, preserved stability, and showcased disciplined change management. Technologies demonstrated include Python, PyQt/PySide GUI work, debugging, and version-control discipline.
3 Commits • 1 Features
Apr 1, 2025April 2025 — Silx (silx-kit/silx) focused on refining user experience for ellipse masking and evaluating a performance safeguard for large data plots. Key UX fix: clarified the tooltip for ellipse masking to reflect actual functionality, reducing user confusion and potential support overhead. Experimental UX safeguard: introduced a warning dialog before plotting large 3D cube data to protect performance; the change was reverted to preserve smooth workflows, demonstrating prudent testing and risk mitigation. Overall, delivered precise UI feedback, preserved stability, and showcased disciplined change management. Technologies demonstrated include Python, PyQt/PySide GUI work, debugging, and version-control discipline.
April 2025
Activity
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Quality Metrics
Correctness86.6%
Maintainability86.6%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Bug FixingData VisualizationGUI Development
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