ESA-APEx/apex_algorithms
Oct 2025 – Oct 2025
1 Month active
Languages Used
MarkdownPython
Technical Skills
Algorithm DevelopmentData ProcessingDocumentationScientific Computing
tho-hole
PROFILE
Tho-hole
Worked on the ESA-APEx/apex_algorithms repository to enhance algorithm configurability and scoring accuracy in scientific computing workflows. Developed a feature allowing users to specify minimum and maximum cloud cover constraints, providing finer control over input conditions for data processing. Addressed two bugs by updating the BAP Score Weighting to align with project requirements and refactoring area parametrization to ensure precise area calculations. These improvements increased the reliability and maintainability of the codebase. The work involved algorithm development, documentation, and data processing using Python and Markdown, focusing on robust, configurable solutions that support accurate and reproducible scientific analysis for end users.
Overall Statistics
Feature vs Bugs
33%Features
Repository Contributions
3Total
Bugs
2
Commits
3
Features
1
Lines of code
47
Activity Months1
Your Network
37 peopleSame Organization
@vito.be15
Work History
October 2025
3 Commits • 1 Features
Oct 1, 2025Concise monthly summary for 2025-10: The team delivered key features and fixes for ESA-APEx/apex_algorithms, focused on scoring accuracy, configurability, and reliability. Major accomplishments include implementing Cloud Cover Range Constraints for finer control (min/max cloud cover), correcting BAP Score Weighting (Date Score weight 0.1) to align with Issue 81, and refactoring Area Parametrization to ensure accurate area calculations. These changes improve end-to-end scoring accuracy, enable users to specify operating conditions precisely, and enhance maintainability.
3 Commits • 1 Features
Oct 1, 2025Concise monthly summary for 2025-10: The team delivered key features and fixes for ESA-APEx/apex_algorithms, focused on scoring accuracy, configurability, and reliability. Major accomplishments include implementing Cloud Cover Range Constraints for finer control (min/max cloud cover), correcting BAP Score Weighting (Date Score weight 0.1) to align with Issue 81, and refactoring Area Parametrization to ensure accurate area calculations. These changes improve end-to-end scoring accuracy, enable users to specify operating conditions precisely, and enhance maintainability.
October 2025
Activity
Loading activity data...
Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture73.4%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
Algorithm DevelopmentData ProcessingDocumentationScientific Computing
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline