avaframe/AvaFrame
Nov 2024 – Apr 2026
16 Months active
Languages Used
CythonPythonRSTSQLINIascBinaryTXT
Technical Skills
Avalanche SimulationBackend DevelopmentConfiguration ManagementData HandlingData ProcessingDocumentation
Anna Wirbel
PROFILE
Anna Wirbel
Worked extensively on the avaframe/AvaFrame repository, delivering robust simulation, data processing, and visualization features for avalanche modeling. Leveraged Python, Cython, and Pandas to implement configuration-driven workflows, enhance geospatial data handling, and automate batch processing. Developed modules for resistance and friction modeling, improved input validation, and streamlined file I/O for both raster and shapefile formats. Focused on reproducibility and maintainability by expanding test coverage, refactoring plotting utilities, and clarifying documentation. Addressed simulation stability and data integrity through targeted bug fixes and configuration updates, enabling reliable analyses and efficient onboarding for users working with complex scientific computing pipelines.
Overall Statistics
Feature vs Bugs
81%Features
Repository Contributions
46Total
Bugs
7
Commits
46
Features
29
Lines of code
326,395
Activity Months16
Your Network
11 peopleSame Organization
@avaframe.org1
Shared Repositories
10
ahuber-bfwMember
Felix OesterleMember
Felix OesterleMember
leon-wagnerMember
lwdtirolMember
Manda ChasteenMember
Michael PalluaMember
PaulaMember
paulaspMember
Work History
April 2026
2 Commits • 1 Features
Apr 1, 2026April 2026 focused on stabilizing AvaFrame simulations and improving documentation to support reliable parameter tuning. Implemented a targeted config change in Com5 initialization to disable detrainment, mitigating premature material loss and elevating run stability. Updated and clarified documentation around com5SnowSlide parameters and resistance areas to improve reproducibility and onboarding.
2 Commits • 1 Features
Apr 1, 2026April 2026 focused on stabilizing AvaFrame simulations and improving documentation to support reliable parameter tuning. Implemented a targeted config change in Com5 initialization to disable detrainment, mitigating premature material loss and elevating run stability. Updated and clarified documentation around com5SnowSlide parameters and resistance areas to improve reproducibility and onboarding.
April 2026
March 2026
1 Commits
Mar 1, 2026March 2026 performance summary for avaframe/AvaFrame: Focused on improving test reliability and data fidelity in energy line tests by updating PFV field persistence in test configuration. No new user-facing features released this period; the primary work was stabilizing test outcomes and ensuring PFV fields are saved during energy line tests to reduce false negatives and improve test confidence.
March 2026
1 Commits
Mar 1, 2026March 2026 performance summary for avaframe/AvaFrame: Focused on improving test reliability and data fidelity in energy line tests by updating PFV field persistence in test configuration. No new user-facing features released this period; the primary work was stabilizing test outcomes and ensuring PFV fields are saved during energy line tests to reduce false negatives and improve test confidence.
February 2026
3 Commits • 2 Features
Feb 1, 2026February 2026: Monthly summary for avaframe/AvaFrame focusing on key features delivered, major bug fixes, impact, and technologies demonstrated.
3 Commits • 2 Features
Feb 1, 2026February 2026: Monthly summary for avaframe/AvaFrame focusing on key features delivered, major bug fixes, impact, and technologies demonstrated.
February 2026
December 2025
4 Commits • 3 Features
Dec 1, 2025December 2025 — In AvaFrame, delivered core data integrity, visualization, and export enhancements that drive reliable analysis and downstream business value. Key features include timeInfo tracking with visualization enhancements for first-time cell mass exposure, CSV export with enhanced metadata for reference data frames, and AIMEC coordinate overlap handling with a configurable warning mode. All efforts were supported by expanded tests and documentation updates. These changes improve data traceability, interoperability with downstream systems, and robust pipelines, while showcasing Python excellence, data engineering, and quality-focused development.
December 2025
4 Commits • 3 Features
Dec 1, 2025December 2025 — In AvaFrame, delivered core data integrity, visualization, and export enhancements that drive reliable analysis and downstream business value. Key features include timeInfo tracking with visualization enhancements for first-time cell mass exposure, CSV export with enhanced metadata for reference data frames, and AIMEC coordinate overlap handling with a configurable warning mode. All efforts were supported by expanded tests and documentation updates. These changes improve data traceability, interoperability with downstream systems, and robust pipelines, while showcasing Python excellence, data engineering, and quality-focused development.
November 2025
3 Commits • 1 Features
Nov 1, 20252025-11 AvaFrame monthly summary focusing on business value and technical achievements, aligned with the avaframe/AvaFrame repo activity. Highlights include robustness improvements in input validation and enhanced visualization for release scenarios, coupled with thoughtful configuration/file-handling cleanup. The work reduces runtime errors, improves decision support through clearer plots, and strengthens maintainability for faster future iterations.
3 Commits • 1 Features
Nov 1, 20252025-11 AvaFrame monthly summary focusing on business value and technical achievements, aligned with the avaframe/AvaFrame repo activity. Highlights include robustness improvements in input validation and enhanced visualization for release scenarios, coupled with thoughtful configuration/file-handling cleanup. The work reduces runtime errors, improves decision support through clearer plots, and strengthens maintainability for faster future iterations.
November 2025
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025 (2025-10) monthly summary for avaframe/AvaFrame: Delivered raster data input support with automatic processing for resistance areas, expanding compatibility with remeshed outputs and implementing value validation to ensure data quality. The work includes an automated-processing option to streamline workflows and reduce manual intervention in end-to-end analyses.
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025 (2025-10) monthly summary for avaframe/AvaFrame: Delivered raster data input support with automatic processing for resistance areas, expanding compatibility with remeshed outputs and implementing value validation to ensure data quality. The work includes an automated-processing option to streamline workflows and reduce manual intervention in end-to-end analyses.
September 2025
4 Commits • 1 Features
Sep 1, 2025Month: 2025-09 — In AvaFrame, delivered targeted robustness and workflow improvements across particle management, postprocessing, and plotting robustness. Key changes include: 1) Robust particle removal and stopping logic for zero-mass and zero-velocity cases in the 1D DFA workflow, ensuring zero-mass particles are removed and stopping criteria adjusted for non-zero-mass particles; changes reflected in configuration and DFAfunctionsCython.pyx. 2) Flexible postprocessing file naming by simulation type: dynamic renaming for ppr, pfd, and pfv files by simType to improve naming accuracy and workflow automation. 3) AIMEC analysis robustness with zero-result rasters: allow zero-result rasters via runoutFound flag and handling missing runout data to prevent plotting errors. 4) Configuration updates to reflect new removal behavior and overall workflow stability. Impact: improved stability, reduced plotting failures, more accurate file management, better automation, and clearer traceability in commits. Technologies/skills demonstrated: Python/Cython integration (DFAfunctionsCython.pyx), scripting for dynamic file naming, robust error handling, configuration updates, and collaboration across commits.
4 Commits • 1 Features
Sep 1, 2025Month: 2025-09 — In AvaFrame, delivered targeted robustness and workflow improvements across particle management, postprocessing, and plotting robustness. Key changes include: 1) Robust particle removal and stopping logic for zero-mass and zero-velocity cases in the 1D DFA workflow, ensuring zero-mass particles are removed and stopping criteria adjusted for non-zero-mass particles; changes reflected in configuration and DFAfunctionsCython.pyx. 2) Flexible postprocessing file naming by simulation type: dynamic renaming for ppr, pfd, and pfv files by simType to improve naming accuracy and workflow automation. 3) AIMEC analysis robustness with zero-result rasters: allow zero-result rasters via runoutFound flag and handling missing runout data to prevent plotting errors. 4) Configuration updates to reflect new removal behavior and overall workflow stability. Impact: improved stability, reduced plotting failures, more accurate file management, better automation, and clearer traceability in commits. Technologies/skills demonstrated: Python/Cython integration (DFAfunctionsCython.pyx), scripting for dynamic file naming, robust error handling, configuration updates, and collaboration across commits.
September 2025
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary focusing on key accomplishments, delivered features, and business impact for the AvaFrame project.
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary focusing on key accomplishments, delivered features, and business impact for the AvaFrame project.
July 2025
2 Commits • 2 Features
Jul 1, 2025July 2025 AvaFrame (avaframe/AvaFrame) monthly summary: Delivered two business-critical features that streamline data export and reduce configuration friction, enabling faster pipelines and easier onboarding. Key accomplishments: - Release and Entrainment Raster Export (com1DFA): exports rasters generated from shapefiles to a configurable output directory; configuration updated to enable/disable this export. - Flexible runRangeTimeDiagram script with config-free mode: runRangeTimeDiagram.py now infers simulation parameters when a configuration file is absent, reducing dependency on pre-existing configs. - Commit traceability: changes captured in commits 7c3aa271421b6771f5408d65a082187bffe28a01 and 69f9ee32bf480f27aeaf4d3e70e72f67c367abbe. Overall impact: accelerates data processing workflows, lowers onboarding friction, and improves reproducibility. Technologies/skills demonstrated: Python scripting, shapefile raster processing, configuration management, and parameter inference logic.
2 Commits • 2 Features
Jul 1, 2025July 2025 AvaFrame (avaframe/AvaFrame) monthly summary: Delivered two business-critical features that streamline data export and reduce configuration friction, enabling faster pipelines and easier onboarding. Key accomplishments: - Release and Entrainment Raster Export (com1DFA): exports rasters generated from shapefiles to a configurable output directory; configuration updated to enable/disable this export. - Flexible runRangeTimeDiagram script with config-free mode: runRangeTimeDiagram.py now infers simulation parameters when a configuration file is absent, reducing dependency on pre-existing configs. - Commit traceability: changes captured in commits 7c3aa271421b6771f5408d65a082187bffe28a01 and 69f9ee32bf480f27aeaf4d3e70e72f67c367abbe. Overall impact: accelerates data processing workflows, lowers onboarding friction, and improves reproducibility. Technologies/skills demonstrated: Python scripting, shapefile raster processing, configuration management, and parameter inference logic.
July 2025
June 2025
3 Commits • 2 Features
Jun 1, 20252025-06 monthly work summary for avaframe/AvaFrame focusing on business value and technical achievements. Delivered documentation and data handling improvements that enhance usability, reliability, and maintainability of the AvaFrame project.
June 2025
3 Commits • 2 Features
Jun 1, 20252025-06 monthly work summary for avaframe/AvaFrame focusing on business value and technical achievements. Delivered documentation and data handling improvements that enhance usability, reliability, and maintainability of the AvaFrame project.
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 highlights for AvaFrame: Delivered Resistance Modeling Enhancements and Benchmark Configuration for the AvaFrame project, including documentation clarifications for the com1DFA resistance force calculation and detrainment conditions, plus new configuration and data files to enable resistance benchmarks (AIMEC setup and release scenario 'relKot' with simulation type 'res'). This work combines user-facing documentation improvements with config-driven support to enable consistent resistance-based simulations and data collection.
2 Commits • 1 Features
May 1, 2025May 2025 highlights for AvaFrame: Delivered Resistance Modeling Enhancements and Benchmark Configuration for the AvaFrame project, including documentation clarifications for the com1DFA resistance force calculation and detrainment conditions, plus new configuration and data files to enable resistance benchmarks (AIMEC setup and release scenario 'relKot' with simulation type 'res'). This work combines user-facing documentation improvements with config-driven support to enable consistent resistance-based simulations and data collection.
May 2025
March 2025
4 Commits • 3 Features
Mar 1, 2025Monthly summary for 2025-03 — avaframe/AvaFrame focusing on business value, technical achievements, and operational impact. Key features delivered and improvements: - Default Resistance Model for com1DFA: Introduces a default resistance model to simulate resistance forces and detrainment; updates to computeResForce, new plotting/analysis capabilities for resistance-related fields; enables nuanced control over friction and detrainment based on flow velocity and thickness thresholds. Commit ec679b41f5e4aef37888144c9e06f96aaf57b958 (message: "add option for resistance"). - Configuration Files Directory Restructuring: Reorganizes configuration file directories by consolidating configurationFilesDone and configurationFilesLatest under a new configurationFiles parent directory, and renaming latestConfigurationFiles to configurationFilesLatest for clarity. Commit 8884fc45f3ddc744b7ad3432ef38cac460d018d4 (message: "change location of latest and configFilesDone; rename configFilesLatest"). - Release Endpoint Update and Data Standardization: Adds a new release endpoint by updating the SHP file and removing associated .nxyz and .txt files; updates binary SHP/SHX indicating changes in spatial release data and standardizes release data formats. Commit e1e42e97113ec4c52dd3ec069064c26763de8c65 (message: "add endpoint to shp file releae"). Major bugs fixed: - Plotting: Correct use of relThField: Fixes a plotting bug by correctly passing and utilizing the release thickness field relThField, ensuring it is incorporated into plotting logic. Commit 57f64240f0f59b92edd2e0074652befa48807b4a (message: "fix bug in plot"). Overall impact and accomplishments: - Improved simulation fidelity, data standardization, and configuration governance in AvaFrame. - Enabled more accurate analyses, streamlined release data pipelines, and reduced configuration errors—driving faster, more reliable experimentation and deployment. Technologies/skills demonstrated: - Python modeling and plotting, GIS data handling (SHP/SHX), configuration management, and data standardization; effective collaboration through clear commit history.
March 2025
4 Commits • 3 Features
Mar 1, 2025Monthly summary for 2025-03 — avaframe/AvaFrame focusing on business value, technical achievements, and operational impact. Key features delivered and improvements: - Default Resistance Model for com1DFA: Introduces a default resistance model to simulate resistance forces and detrainment; updates to computeResForce, new plotting/analysis capabilities for resistance-related fields; enables nuanced control over friction and detrainment based on flow velocity and thickness thresholds. Commit ec679b41f5e4aef37888144c9e06f96aaf57b958 (message: "add option for resistance"). - Configuration Files Directory Restructuring: Reorganizes configuration file directories by consolidating configurationFilesDone and configurationFilesLatest under a new configurationFiles parent directory, and renaming latestConfigurationFiles to configurationFilesLatest for clarity. Commit 8884fc45f3ddc744b7ad3432ef38cac460d018d4 (message: "change location of latest and configFilesDone; rename configFilesLatest"). - Release Endpoint Update and Data Standardization: Adds a new release endpoint by updating the SHP file and removing associated .nxyz and .txt files; updates binary SHP/SHX indicating changes in spatial release data and standardizes release data formats. Commit e1e42e97113ec4c52dd3ec069064c26763de8c65 (message: "add endpoint to shp file releae"). Major bugs fixed: - Plotting: Correct use of relThField: Fixes a plotting bug by correctly passing and utilizing the release thickness field relThField, ensuring it is incorporated into plotting logic. Commit 57f64240f0f59b92edd2e0074652befa48807b4a (message: "fix bug in plot"). Overall impact and accomplishments: - Improved simulation fidelity, data standardization, and configuration governance in AvaFrame. - Enabled more accurate analyses, streamlined release data pipelines, and reduced configuration errors—driving faster, more reliable experimentation and deployment. Technologies/skills demonstrated: - Python modeling and plotting, GIS data handling (SHP/SHX), configuration management, and data standardization; effective collaboration through clear commit history.
February 2025
4 Commits • 4 Features
Feb 1, 2025February 2025 (2025-02) monthly summary for avaframe/AvaFrame. Key deliverables: - Enhanced configuration handling and plotting readiness: refactored run-script overrides, improved file handling, added .tif plotting support, standardized output naming, and removed obsolete scripts. - DAM file integration in simulation configuration: includes DAM metadata when the dam setting is true; tests updated. - Enhanced release scenario plotting: added visuals for secondary release, entrainment, resistance, and dam areas; config and tests updated. - Avalanche profile plotting: introduced profile plots with depth-to-thickness conversion improvements, new profile plotting module, a run script, and unit tests. Major fixes: - Stabilized run-script processing and cleaned up legacy scripts to prevent confusion and overwrites; improved config edge-case handling; tests updated accordingly. Business impact: - Richer, more reliable visualization and configuration workflows reduce validation time and error-prone manual steps; clearer data lineage and test coverage enable faster feature validation. Technologies/skills: - Python, data visualization, configuration management, testing strategy (unit tests), profile plotting, depth-to-thickness conversion.
4 Commits • 4 Features
Feb 1, 2025February 2025 (2025-02) monthly summary for avaframe/AvaFrame. Key deliverables: - Enhanced configuration handling and plotting readiness: refactored run-script overrides, improved file handling, added .tif plotting support, standardized output naming, and removed obsolete scripts. - DAM file integration in simulation configuration: includes DAM metadata when the dam setting is true; tests updated. - Enhanced release scenario plotting: added visuals for secondary release, entrainment, resistance, and dam areas; config and tests updated. - Avalanche profile plotting: introduced profile plots with depth-to-thickness conversion improvements, new profile plotting module, a run script, and unit tests. Major fixes: - Stabilized run-script processing and cleaned up legacy scripts to prevent confusion and overwrites; improved config edge-case handling; tests updated accordingly. Business impact: - Richer, more reliable visualization and configuration workflows reduce validation time and error-prone manual steps; clearer data lineage and test coverage enable faster feature validation. Technologies/skills: - Python, data visualization, configuration management, testing strategy (unit tests), profile plotting, depth-to-thickness conversion.
February 2025
January 2025
3 Commits • 3 Features
Jan 1, 2025Concise monthly summary for 2025-01 for avaframe/AvaFrame. The month focused on delivering robust data processing enhancements, plot simplifications, and enhanced simulation resilience across the AvaFrame DEM workflow.
January 2025
3 Commits • 3 Features
Jan 1, 2025Concise monthly summary for 2025-01 for avaframe/AvaFrame. The month focused on delivering robust data processing enhancements, plot simplifications, and enhanced simulation resilience across the AvaFrame DEM workflow.
December 2024
4 Commits • 3 Features
Dec 1, 2024December 2024 (2024-12) — AvaFrame (avaframe/AvaFrame) monthly summary. Key features delivered: - Probabilistic Analysis Module Input Handling: Config-driven input handling enabling module name to be specified in configuration; ensures correct module name assignment when not provided as an argument. Business impact: reduces misconfiguration risk and stabilizes probabilistic analyses. - Glossary Documentation Formatting Improvement: Corrected indentation and formatting for improved readability and consistency across the glossary. Business impact: faster onboarding and clearer cross-team communication. - Friction Model Configuration Alignment with DEM: Strengthened configuration checks to ensure mu and xi align with the DEM spatial extent; added resizing/interpolation logic and ensured RELTH file compatibility. Business impact: more accurate simulations and robust behavior across varying DEMs. Major bugs fixed: - Fixed bug in Probabilistic Analysis input handling related to default input and INI-driven configuration; ensured correct module name assignment in edge cases. - Fixed wrong indents in glossary formatting to prevent documentation drift and improve readability. Overall impact and accomplishments: - Increased reliability and correctness of probabilistic analysis workflows and friction model integration, reducing runtime errors due to misconfigurations and parameter misalignment. - Improved data governance and documentation quality, enabling faster onboarding and clearer stakeholder communication. - Demonstrated strong config-driven development, input validation, and DEM-aware parameter handling across the AvaFrame codebase. Technologies/skills demonstrated: - Configuration management (INI/config), input handling, and module-name resolution logic. - DEM-aware parameter validation, resizing/interpolation, and RELTH compatibility checks. - Quality improvements: code-level validation, formatting consistency, and documentation readability.
4 Commits • 3 Features
Dec 1, 2024December 2024 (2024-12) — AvaFrame (avaframe/AvaFrame) monthly summary. Key features delivered: - Probabilistic Analysis Module Input Handling: Config-driven input handling enabling module name to be specified in configuration; ensures correct module name assignment when not provided as an argument. Business impact: reduces misconfiguration risk and stabilizes probabilistic analyses. - Glossary Documentation Formatting Improvement: Corrected indentation and formatting for improved readability and consistency across the glossary. Business impact: faster onboarding and clearer cross-team communication. - Friction Model Configuration Alignment with DEM: Strengthened configuration checks to ensure mu and xi align with the DEM spatial extent; added resizing/interpolation logic and ensured RELTH file compatibility. Business impact: more accurate simulations and robust behavior across varying DEMs. Major bugs fixed: - Fixed bug in Probabilistic Analysis input handling related to default input and INI-driven configuration; ensured correct module name assignment in edge cases. - Fixed wrong indents in glossary formatting to prevent documentation drift and improve readability. Overall impact and accomplishments: - Increased reliability and correctness of probabilistic analysis workflows and friction model integration, reducing runtime errors due to misconfigurations and parameter misalignment. - Improved data governance and documentation quality, enabling faster onboarding and clearer stakeholder communication. - Demonstrated strong config-driven development, input validation, and DEM-aware parameter handling across the AvaFrame codebase. Technologies/skills demonstrated: - Configuration management (INI/config), input handling, and module-name resolution logic. - DEM-aware parameter validation, resizing/interpolation, and RELTH compatibility checks. - Quality improvements: code-level validation, formatting consistency, and documentation readability.
December 2024
November 2024
4 Commits • 1 Features
Nov 1, 2024Month 2024-11: Focused on robustness, data reliability, and modeling capabilities for AvaFrame. Delivered a new friction model tied to raster-derived parameters, strengthened input/config validation, and enhanced shapefile processing to reduce crashes. Implemented multi-format data persistence to improve reproducibility and traceability.
November 2024
4 Commits • 1 Features
Nov 1, 2024Month 2024-11: Focused on robustness, data reliability, and modeling capabilities for AvaFrame. Delivered a new friction model tied to raster-derived parameters, strengthened input/config validation, and enhanced shapefile processing to reduce crashes. Implemented multi-format data persistence to improve reproducibility and traceability.
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Quality Metrics
Correctness84.4%
Maintainability82.8%
Architecture81.4%
Performance75.8%
AI Usage24.4%
Skills & Technologies
Programming Languages
BinaryCythonINIPythonRSTSQLTXTascreStructuredText
Technical Skills
Avalanche SimulationBackend DevelopmentBenchmark ConfigurationBug FixBug FixingC++Code RefactoringConfiguration ManagementCythonData AnalysisData ExportData HandlingData ManagementData ProcessingData Visualization
Repositories Contributed To
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