visualize-admin/visualization-tool
Feb 2026 – Feb 2026
1 Month active
Languages Used
JSONJavaScriptMarkdownTypeScript
Technical Skills
ReactSPARQLTypeScriptdocumentationfront end developmentfull stack development
Mathis Hofer
PROFILE
Mathis Hofer
Worked on the visualize-admin/visualization-tool repository, delivering the 6.3.x release cycle with a focus on new features and maintenance. Developed a data source key system with label rewrites to clarify data sources and updated endpoints following the LINDAS INT cutover. Enhanced user experience by routing loading errors to a new status page, improving error handling and troubleshooting. Optimized SPARQL queries by removing expensive clauses, contributing to better performance. Maintained thorough documentation and changelogs in line with semantic versioning. Utilized React and TypeScript for front end and full stack development, with careful attention to package management and version control practices.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
4
Lines of code
173
Activity Months1
Your Network
37 peopleSame Organization
@puzzle.ch25
Work History
February 2026
7 Commits • 4 Features
Feb 1, 2026February 2026 — Visualization Tool (visualize-admin/visualization-tool). Delivered the 6.3.x release cycle with two maintenance releases (6.3.0 and 6.3.1), implemented a new data source key system with label rewrites, and improved user experience by routing loading errors to the new status page. Updated endpoints post-LINDAS INT cutover and performed SPARQL query optimizations by removing expensive clauses. Documentation and changelogs were kept in sync with semantic versioning.
7 Commits • 4 Features
Feb 1, 2026February 2026 — Visualization Tool (visualize-admin/visualization-tool). Delivered the 6.3.x release cycle with two maintenance releases (6.3.0 and 6.3.1), implemented a new data source key system with label rewrites, and improved user experience by routing loading errors to the new status page. Updated endpoints post-LINDAS INT cutover and performed SPARQL query optimizations by removing expensive clauses. Documentation and changelogs were kept in sync with semantic versioning.
February 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability94.2%
Architecture94.2%
Performance97.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONJavaScriptMarkdownTypeScript
Technical Skills
ReactSPARQLTypeScriptdocumentationfront end developmentfull stack developmentpackage managementversion control
Repositories Contributed To
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