OSGeo/grass-addons
Nov 2025 – Dec 2025
2 Months active
Languages Used
HTMLMakefilePythonMarkdown
Technical Skills
GRASS GISPython programmingdata visualizationhyperspectral data processingdocumentationfront end development
Alen Mangafić
PROFILE
Alen Mangafić
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
5,023
Activity Months2
Your Network
24 people
Work History
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025: Focused on defining the strategic roadmap for the i.hyper suite within OSGeo/grass-addons. Delivered a comprehensive roadmap outlining future enhancements across data importers, preprocessing modules, and visualization capabilities. This sets the foundation for upcoming work and aligns product direction with user needs and ecosystem goals. Key commit: 12784b64637a7d637ee6eba42d8483558409a587 (added roadmap #1566). No major bugs fixed this month; emphasis was on planning, scoping, and ensuring readiness for rapid implementation in early 2026.
1 Commits • 1 Features
Dec 1, 2025December 2025: Focused on defining the strategic roadmap for the i.hyper suite within OSGeo/grass-addons. Delivered a comprehensive roadmap outlining future enhancements across data importers, preprocessing modules, and visualization capabilities. This sets the foundation for upcoming work and aligns product direction with user needs and ecosystem goals. Key commit: 12784b64637a7d637ee6eba42d8483558409a587 (added roadmap #1566). No major bugs fixed this month; emphasis was on planning, scoping, and ensuring readiness for rapid implementation in early 2026.
December 2025
November 2025
1 Commits • 1 Features
Nov 1, 2025Concise monthly summary for 2025-11 focused on delivering high-impact features, stabilizing the hyperspectral workflow, and enabling data-driven insights for OSGeo/grass-addons users.
November 2025
1 Commits • 1 Features
Nov 1, 2025Concise monthly summary for 2025-11 focused on delivering high-impact features, stabilizing the hyperspectral workflow, and enabling data-driven insights for OSGeo/grass-addons users.
Activity
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Quality Metrics
Correctness100.0%
Maintainability90.0%
Architecture100.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
HTMLMakefileMarkdownPython
Technical Skills
GRASS GISPython programmingdata visualizationdocumentationfront end developmenthyperspectral data processing
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline