mantidproject/mantidimaging
Mar 2025 – Mar 2026
13 Months active
Languages Used
PythonPyQt5RSTreStructuredTextTextrstYAMLMarkdown
Technical Skills
Data VisualizationGUI DevelopmentSoftware RefactoringData AnalysisData ExportImage Processing
Ashley
PROFILE
Ashley
Ashley Meigh developed and maintained core features for the mantidproject/mantidimaging repository over 13 months, focusing on robust data visualization, geometry-driven reconstruction, and user workflow enhancements. Using Python, PyQt5, and NumPy, Ashley engineered solutions such as ROI-driven analytics, geometry-aware algorithm selection, and reliable export workflows, addressing both backend data handling and frontend GUI development. Their work included refactoring the ImageStack API for safer shared-memory operations, improving concurrency and error handling, and modernizing the codebase with type annotations and Pathlib. These contributions improved runtime stability, maintainability, and user experience, demonstrating depth in scientific computing and cross-platform software engineering.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
136Total
Bugs
13
Commits
136
Features
53
Lines of code
120,157
Activity Months13
Your Network
102 peopleSame Organization
@stfc.ac.uk95
Work History
March 2026
6 Commits • 2 Features
Mar 1, 2026March 2026: Delivered geometry-driven reconstruction improvements and geometry-aware algorithm selection in mantidimaging, enhancing accuracy, workflow reliability, and support for additional geometry types. The work reduces user error, improves reconstruction quality when switching stacks or updating geometry, and lays the foundation for broader geometry support.
6 Commits • 2 Features
Mar 1, 2026March 2026: Delivered geometry-driven reconstruction improvements and geometry-aware algorithm selection in mantidimaging, enhancing accuracy, workflow reliability, and support for additional geometry types. The work reduces user error, improves reconstruction quality when switching stacks or updating geometry, and lays the foundation for broader geometry support.
March 2026
February 2026
14 Commits • 3 Features
Feb 1, 2026February 2026 monthly summary for mantidimaging. Focused on UX reliability, dataset flexibility, and codebase hygiene to improve user productivity, reduce risk during editing workflows, and streamline maintainability. Delivered key in-app changes, established UI-to-model synchronization for geometry operations, and clarified release notes for stakeholder visibility.
February 2026
14 Commits • 3 Features
Feb 1, 2026February 2026 monthly summary for mantidimaging. Focused on UX reliability, dataset flexibility, and codebase hygiene to improve user productivity, reduce risk during editing workflows, and streamline maintainability. Delivered key in-app changes, established UI-to-model synchronization for geometry operations, and clarified release notes for stakeholder visibility.
January 2026
3 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for mantidproject/mantidimaging, focusing on reliability improvements for ImageStack and codebase hygiene. Implemented robust error handling and cleanup to reduce misleading warnings during geometry updates, and removed an unused UUID import to streamline the codebase. These changes improve stability, maintainability, and developer velocity for geometry-related workflows.
3 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for mantidproject/mantidimaging, focusing on reliability improvements for ImageStack and codebase hygiene. Implemented robust error handling and cleanup to reduce misleading warnings during geometry updates, and removed an unused UUID import to streamline the codebase. These changes improve stability, maintainability, and developer velocity for geometry-related workflows.
January 2026
December 2025
4 Commits • 2 Features
Dec 1, 2025Month 2025-12: Delivered two core capabilities in mantidimaging with measurable business value: (1) image indexing accuracy and reconstruction geometry improvements, including updates to angle handling and geometry creation; tests refined for the closest image index calculation; (2) robust ImageStack data handling with safer support for shared-memory and NumPy inputs, along with updated documentation and tests for usage and maintainability. Implemented changes with targeted tests to ensure correctness and resilience, and updated docs to aid future maintenance. These efforts improve indexing reliability for complex datasets in large-scale experiments and reduce data-pipeline risk, contributing to more trustworthy imaging results and faster onboarding for new users.)
December 2025
4 Commits • 2 Features
Dec 1, 2025Month 2025-12: Delivered two core capabilities in mantidimaging with measurable business value: (1) image indexing accuracy and reconstruction geometry improvements, including updates to angle handling and geometry creation; tests refined for the closest image index calculation; (2) robust ImageStack data handling with safer support for shared-memory and NumPy inputs, along with updated documentation and tests for usage and maintainability. Implemented changes with targeted tests to ensure correctness and resilience, and updated docs to aid future maintenance. These efforts improve indexing reliability for complex datasets in large-scale experiments and reduce data-pipeline risk, contributing to more trustworthy imaging results and faster onboarding for new users.)
November 2025
11 Commits • 5 Features
Nov 1, 2025November 2025 monthly summary for mantidimaging: Focused on delivering maintainable, high-impact features that enhance data access, performance, and user workflows, translating into faster insights and improved usability. Key outcomes include a robust ImageStack API refactor that exposes dimensions via the shape property, performance and accessibility improvements in the Spectrum Viewer, workflow enhancements for COR/Tilt analyses, GUI/UX refinements with shortcut cleanup, and documentation updates to reflect development status. No major bugs reported in this dataset; the month was dominated by feature delivery and code-quality improvements that reduce maintenance burden and improve onboarding. Technologies demonstrated include Python refactoring, caching strategies, Qt-based GUI work, projection indexing logic, and release-note governance. Business value realized: improved consistency and reliability of data access, faster spectrum calculations, smoother user interactions, and clearer development status.
11 Commits • 5 Features
Nov 1, 2025November 2025 monthly summary for mantidimaging: Focused on delivering maintainable, high-impact features that enhance data access, performance, and user workflows, translating into faster insights and improved usability. Key outcomes include a robust ImageStack API refactor that exposes dimensions via the shape property, performance and accessibility improvements in the Spectrum Viewer, workflow enhancements for COR/Tilt analyses, GUI/UX refinements with shortcut cleanup, and documentation updates to reflect development status. No major bugs reported in this dataset; the month was dominated by feature delivery and code-quality improvements that reduce maintenance burden and improve onboarding. Technologies demonstrated include Python refactoring, caching strategies, Qt-based GUI work, projection indexing logic, and release-note governance. Business value realized: improved consistency and reliability of data access, faster spectrum calculations, smoother user interactions, and clearer development status.
November 2025
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for mantidimaging focusing on stability, accuracy, and measurable user value. Delivered two primary work items with direct business impact: (1) fix for ImageStack shape attribute consistency to prevent shape-related errors and ensure reliable data handling; (2) enhancement of the fitting engine to expose quantitative metrics (RSS and Reduced RSS) in the GUI and export table for clearer assessment of fit quality. These changes improve reliability, data integrity, and decision support for users, while enabling easier maintenance and future enhancements.
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for mantidimaging focusing on stability, accuracy, and measurable user value. Delivered two primary work items with direct business impact: (1) fix for ImageStack shape attribute consistency to prevent shape-related errors and ensure reliable data handling; (2) enhancement of the fitting engine to expose quantitative metrics (RSS and Reduced RSS) in the GUI and export table for clearer assessment of fit quality. These changes improve reliability, data integrity, and decision support for users, while enabling easier maintenance and future enhancements.
September 2025
1 Commits
Sep 1, 2025September 2025 monthly summary for mantidimaging development. Overview - Focused on stabilizing the Spectrum Viewer and enhancing code quality through documentation and testing improvements. Deliveries center on concurrency correctness, with measurable impact on runtime stability and maintainability.
1 Commits
Sep 1, 2025September 2025 monthly summary for mantidimaging development. Overview - Focused on stabilizing the Spectrum Viewer and enhancing code quality through documentation and testing improvements. Deliveries center on concurrency correctness, with measurable impact on runtime stability and maintainability.
September 2025
August 2025
4 Commits • 3 Features
Aug 1, 2025August 2025 monthly summary for mantidimaging focused on delivering user-facing features, stabilizing visualization workflows, and polishing release documentation. Key outcomes include enhanced ROI normalization in Spectrum Viewer, an image preview in the Export Window, a targeted UI/data verification enhancement, and a robustness fix in the Overlay Difference view. These efforts improve data analysis flexibility, reporting accuracy, and overall product quality, enabling more efficient workflows and clearer communication of changes to stakeholders.
August 2025
4 Commits • 3 Features
Aug 1, 2025August 2025 monthly summary for mantidimaging focused on delivering user-facing features, stabilizing visualization workflows, and polishing release documentation. Key outcomes include enhanced ROI normalization in Spectrum Viewer, an image preview in the Export Window, a targeted UI/data verification enhancement, and a robustness fix in the Overlay Difference view. These efforts improve data analysis flexibility, reporting accuracy, and overall product quality, enabling more efficient workflows and clearer communication of changes to stakeholders.
July 2025
34 Commits • 9 Features
Jul 1, 2025July 2025 MantidImaging monthly summary: Focused on reliability, cross-platform compatibility, and maintainability enhancements. Key features delivered include Cancel support for dataset loading; Windows type annotations improvements; Pathlib-based refactor across core modules for better type safety; extensive Pathlib compatibility across modules with corresponding test adjustments; and maintenance through dependency updates (Sphinx, PyData theme, requests, scikit-image) and Astropy upgrade. Major bugs fixed: stabilizing tests after refactor. Overall impact: improved responsiveness for large datasets, cross-platform stability, and reduced maintenance burden, enabling faster development and more reliable downstream analyses. Technologies/skills demonstrated: Pathlib and type-safety refactors, Windows type annotations, large-scale codebase modernization, test engineering, and dependency management.
34 Commits • 9 Features
Jul 1, 2025July 2025 MantidImaging monthly summary: Focused on reliability, cross-platform compatibility, and maintainability enhancements. Key features delivered include Cancel support for dataset loading; Windows type annotations improvements; Pathlib-based refactor across core modules for better type safety; extensive Pathlib compatibility across modules with corresponding test adjustments; and maintenance through dependency updates (Sphinx, PyData theme, requests, scikit-image) and Astropy upgrade. Major bugs fixed: stabilizing tests after refactor. Overall impact: improved responsiveness for large datasets, cross-platform stability, and reduced maintenance burden, enabling faster development and more reliable downstream analyses. Technologies/skills demonstrated: Pathlib and type-safety refactors, Windows type annotations, large-scale codebase modernization, test engineering, and dependency management.
July 2025
June 2025
28 Commits • 13 Features
Jun 1, 2025June 2025 for mantidimaging delivered user-guided export validation, expanded logging visibility, lifecycle refinements, and code-quality improvements that directly boost reliability and maintainability. Features implemented include RITS export step-size validation; a Logging Configuration Settings tab; and a Welcome Screen refactor to emit a closed signal. Reliability fixes addressed a RuntimeError in recolor_links when a layout is deleted, added a clear error when no parser matches, and corrected a data-loading log typo. Cross-cutting enhancements added comprehensive logging across core processes (e.g., COR fitting, reconstruction, minimisation), memory setup/startup message cleanup, and non-clean shutdown warnings with log links, plus UI wiring, type annotations, dead-code cleanup, and refined file display. Overall, these deliverables reduce user errors, accelerate troubleshooting, and improve maintainability for faster feature delivery and better developer velocity.
June 2025
28 Commits • 13 Features
Jun 1, 2025June 2025 for mantidimaging delivered user-guided export validation, expanded logging visibility, lifecycle refinements, and code-quality improvements that directly boost reliability and maintainability. Features implemented include RITS export step-size validation; a Logging Configuration Settings tab; and a Welcome Screen refactor to emit a closed signal. Reliability fixes addressed a RuntimeError in recolor_links when a layout is deleted, added a clear error when no parser matches, and corrected a data-loading log typo. Cross-cutting enhancements added comprehensive logging across core processes (e.g., COR fitting, reconstruction, minimisation), memory setup/startup message cleanup, and non-clean shutdown warnings with log links, plus UI wiring, type annotations, dead-code cleanup, and refined file display. Overall, these deliverables reduce user errors, accelerate troubleshooting, and improve maintainability for faster feature delivery and better developer velocity.
May 2025
23 Commits • 12 Features
May 1, 2025May 2025 performance summary for mantidimaging. Focused on delivering ROI-driven analytics and robust export capabilities. Key features delivered include ROI export table in spectrum viewer; ROI selection widget improvements with current_roi_name attribute and property-based ROI naming; automated fitting spectrum updates after spectrum modifications; dynamic parameter handling and export functionality; and UI improvements for export (dropdown) and CSV export. Rendering and UX improvements included dynamic image scaling in the fitting display widget and a fixed display pixel size of 150. Quality and stability improvements included additional tests, a workflow error fix, and Python future import compatibility maintenance. Documentation refactor updated structure and references. These efforts enable faster ROI-driven analysis, more reliable results, easier data export for reporting, and improved developer productivity.
23 Commits • 12 Features
May 1, 2025May 2025 performance summary for mantidimaging. Focused on delivering ROI-driven analytics and robust export capabilities. Key features delivered include ROI export table in spectrum viewer; ROI selection widget improvements with current_roi_name attribute and property-based ROI naming; automated fitting spectrum updates after spectrum modifications; dynamic parameter handling and export functionality; and UI improvements for export (dropdown) and CSV export. Rendering and UX improvements included dynamic image scaling in the fitting display widget and a fixed display pixel size of 150. Quality and stability improvements included additional tests, a workflow error fix, and Python future import compatibility maintenance. Documentation refactor updated structure and references. These efforts enable faster ROI-driven analysis, more reliable results, easier data export for reporting, and improved developer productivity.
May 2025
April 2025
5 Commits • 2 Features
Apr 1, 2025April 2025 focused on delivering robust ROI visualization, batch export enhancements, and UI polish in mantidimaging. Key outcomes include more accurate ROI rendering and robust handling of NaN inputs, an improved export workflow for spectrum data, and reinforced UI consistency across image and fit displays, enabling faster, more reliable data analysis for users.
April 2025
5 Commits • 2 Features
Apr 1, 2025April 2025 focused on delivering robust ROI visualization, batch export enhancements, and UI polish in mantidimaging. Key outcomes include more accurate ROI rendering and robust handling of NaN inputs, an improved export workflow for spectrum data, and reinforced UI consistency across image and fit displays, enabling faster, more reliable data analysis for users.
March 2025
1 Commits
Mar 1, 2025Month: 2025-03. Focused on stabilizing the Spectrum Viewer in mantidimaging and improving robustness when time-of-flight data (tof_data) is missing. No new features released this month; one critical bug fix delivered with targeted commits.
1 Commits
Mar 1, 2025Month: 2025-03. Focused on stabilizing the Spectrum Viewer in mantidimaging and improving robustness when time-of-flight data (tof_data) is missing. No new features released this month; one critical bug fix delivered with targeted commits.
March 2025
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Quality Metrics
Correctness90.0%
Maintainability89.8%
Architecture84.8%
Performance83.6%
AI Usage21.0%
Skills & Technologies
Programming Languages
CythonMarkdownPyQt5PythonRSTTextXMLYAMLreStructuredTextrst
Technical Skills
Application Lifecycle ManagementAsynchronous ProgrammingBackend DevelopmentBug FixBug FixingCode CleanupCode FormattingCode ModernizationCode RefactoringCommand Line InterfaceConfigurationConfiguration ManagementContinuous IntegrationCore DevelopmentCross-platform Development
Repositories Contributed To
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