pupil-labs/pupil-docs
May 2025 – Feb 2026
2 Months active
Languages Used
MarkdownHTMLJavaScript
Technical Skills
DocumentationUI DesignUI/UX designdata visualizationdocumentationexport formats
Will Patera
PROFILE
Will Patera
Will Patera contributed to the pupil-labs/pupil-docs repository by developing and enhancing features focused on gaze analytics and device support over a two-month period. He built the Auto Image Mapper, enabling image-based gaze mapping with video integration and CSV export, and introduced bar chart and heatmap visualizations for Areas of Interest to support data-driven analysis. His work included refining AOI editor workflows, automating labeling for scanning recordings, and updating UI documentation to streamline onboarding. Using JavaScript, HTML, and Markdown, Will emphasized clear documentation, export format design, and UI/UX improvements, delivering robust, maintainable frontend solutions that improved data accessibility and usability.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
16Total
Bugs
0
Commits
16
Features
8
Lines of code
232
Activity Months2
Your Network
13 peopleShared Repositories
13
Dominic CanareMember
fonkornratMember
Marc TonsenMember
mfahauserMember
unknownMember
Miguel García GarcíaMember
Marc TonsenMember
nadjeMember
Nathakit Sae-TanMember
Work History
February 2026
15 Commits • 7 Features
Feb 1, 2026February 2026 monthly summary (pupil-labs/pupil-docs): This month focused on delivering end-to-end gaze analytics enhancements and enrichment UI improvements to advance data-driven insights and client-facing reporting. Feature work spanned vision-based mapping, AOI visualizations, and export-ready data formats, underpinned by improved documentation and onboarding assets. The work is aligned with business goals to accelerate analysis pipelines, improve data quality, and simplify integration with downstream analytics. Key features delivered: - Auto Image Mapper (AIM): Core feature enabling image upload, scene-video presence detection, bounding-box validation, and gaze-data export in CSV format. UI scaffolding added (AIM page, enrichments sidebar entry) with a video asset to aid adoption. - Bar Chart Visualization for Gaze Metrics (AOIs): New visualization page added, integrated into the viz sidebar, with setup instructions, customization options, and export capabilities for cross-AOI comparisons. - AOI Editor Enhancements: Improved labeling capabilities, enhanced video integration, and refined data export formats to support richer AOI workflows. - AOI Heatmap Core and Documentation: AOI heatmap feature with updated export formats for fixation events/metrics, plus supporting docs and video assets to improve accessibility and onboarding. - Automatic Labeling for Scanning Recordings: Automated labeling feature introduced to improve organization and management of scanning recordings. - Enrichments UI Improvements and UI Documentation Updates: UI tweaks for fixation count visibility and localization percentage, plus updated screenshots for AOI and workspace-related UI to reduce ramp time for new users. Overall impact and accomplishments: - Expanded end-to-end gaze analytics capabilities, enabling researchers and analysts to generate actionable gaze data from reference images and AOIs, with export-ready outputs for downstream analysis. - Improved data organization, labeling, and UI clarity, reducing manual overhead and improving interpretability for enrichment results. - Strengthened onboarding and documentation through visuals and video assets, accelerating adoption and reducing support overhead. Technologies/skills demonstrated: - Frontend feature development, data visualizations (bar charts, heatmaps), and video integration. - Data export format design and refinement for improved interoperability. - UI/UX improvements, localization considerations, and comprehensive UI documentation. - Cross-repo collaboration and documentation across the pupil-cloud enrichment suite.
15 Commits • 7 Features
Feb 1, 2026February 2026 monthly summary (pupil-labs/pupil-docs): This month focused on delivering end-to-end gaze analytics enhancements and enrichment UI improvements to advance data-driven insights and client-facing reporting. Feature work spanned vision-based mapping, AOI visualizations, and export-ready data formats, underpinned by improved documentation and onboarding assets. The work is aligned with business goals to accelerate analysis pipelines, improve data quality, and simplify integration with downstream analytics. Key features delivered: - Auto Image Mapper (AIM): Core feature enabling image upload, scene-video presence detection, bounding-box validation, and gaze-data export in CSV format. UI scaffolding added (AIM page, enrichments sidebar entry) with a video asset to aid adoption. - Bar Chart Visualization for Gaze Metrics (AOIs): New visualization page added, integrated into the viz sidebar, with setup instructions, customization options, and export capabilities for cross-AOI comparisons. - AOI Editor Enhancements: Improved labeling capabilities, enhanced video integration, and refined data export formats to support richer AOI workflows. - AOI Heatmap Core and Documentation: AOI heatmap feature with updated export formats for fixation events/metrics, plus supporting docs and video assets to improve accessibility and onboarding. - Automatic Labeling for Scanning Recordings: Automated labeling feature introduced to improve organization and management of scanning recordings. - Enrichments UI Improvements and UI Documentation Updates: UI tweaks for fixation count visibility and localization percentage, plus updated screenshots for AOI and workspace-related UI to reduce ramp time for new users. Overall impact and accomplishments: - Expanded end-to-end gaze analytics capabilities, enabling researchers and analysts to generate actionable gaze data from reference images and AOIs, with export-ready outputs for downstream analysis. - Improved data organization, labeling, and UI clarity, reducing manual overhead and improving interpretability for enrichment results. - Strengthened onboarding and documentation through visuals and video assets, accelerating adoption and reducing support overhead. Technologies/skills demonstrated: - Frontend feature development, data visualizations (bar charts, heatmaps), and video integration. - Data export format design and refinement for improved interoperability. - UI/UX improvements, localization considerations, and comprehensive UI documentation. - Cross-repo collaboration and documentation across the pupil-cloud enrichment suite.
February 2026
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for pupil-docs repo: Samsung Galaxy S25 device support added; S25 designated as Neon primary device, replacing older OnePlus models; Android version compatibility specified; experimental device information unchanged. No major bugs fixed this month. This update improves device testing coverage and go-to-market readiness for S25, aligning device matrix with Neon strategy. Key tech achievements include device list update, primary device designation, and secure commit traceability.
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for pupil-docs repo: Samsung Galaxy S25 device support added; S25 designated as Neon primary device, replacing older OnePlus models; Android version compatibility specified; experimental device information unchanged. No major bugs fixed this month. This update improves device testing coverage and go-to-market readiness for S25, aligning device matrix with Neon strategy. Key tech achievements include device list update, primary device designation, and secure commit traceability.
Activity
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Quality Metrics
Correctness100.0%
Maintainability95.2%
Architecture95.2%
Performance97.6%
AI Usage21.4%
Skills & Technologies
Programming Languages
HTMLJavaScriptMarkdown
Technical Skills
DocumentationUI DesignUI/UX designdata visualizationdocumentationexport formatsfront end developmentproject managementtechnical writinguser experience designuser interface designvideo integrationweb development
Repositories Contributed To
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