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t-selzner

PROFILE

T-selzner

Over a three-month period, this developer enhanced the Plant-Root-Soil-Interactions-Modelling/CPlantBox repository by building advanced data visualization workflows for plant root simulations. Using Python and C++, they improved Paraview compatibility, stabilized animation scripts, and introduced higher axial resolution in visual outputs. Their work included restoring and refining example scripts for reproducible visualization, enabling high-resolution screenshot exports, and optimizing VTK export pipelines. By focusing on scientific computing and image processing, they streamlined user workflows and reduced post-processing time, resulting in more maintainable, publication-ready outputs. These contributions supported clearer analysis, reproducibility, and easier integration of simulation results into reporting pipelines.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

4Total
Bugs
0
Commits
4
Features
3
Lines of code
229
Activity Months3

Your Network

17 people

Work History

February 2026

1 Commits • 1 Features

Feb 1, 2026

February 2026 focused on strengthening data visualization capabilities for plant simulations within the CPlantBox model. Restored and stabilized a Paraview example script to increase axial resolution and support exporting results, enabling clearer visualization and streamlined analysis of simulation outputs. The work enhances reproducibility and lays groundwork for higher-fidelity visualization in future iterations.

July 2025

1 Commits • 1 Features

Jul 1, 2025

In 2025-07, the team focused on delivering a measurement- and reporting-ready visualization workflow for Plant-Root-Soil-Interactions-Modelling/CPlantBox, centered on enhancing how results are captured, saved, and communicated.

June 2025

2 Commits • 1 Features

Jun 1, 2025

June 2025 performance summary for Plant-Root-Soil-Interactions-Modelling/CPlantBox: Delivered Paraview compatibility enhancements and visualization improvements to support current Paraview versions, along with practical example scripts to demonstrate axial resolution enhancements and VTK export. These changes streamline user workflows, improve reproducibility, and reduce maintenance friction.

Activity

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Quality Metrics

Correctness92.6%
Maintainability90.0%
Architecture90.0%
Performance85.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

C++Python

Technical Skills

Data VisualizationImage ProcessingPython ScriptingPython programmingRoot System ModelingScientific ComputingScriptingSimulationVTKdata visualizationsimulation modeling

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

Plant-Root-Soil-Interactions-Modelling/CPlantBox

Jun 2025 Feb 2026
3 Months active

Languages Used

C++Python

Technical Skills

Data VisualizationPython ScriptingRoot System ModelingScientific ComputingScriptingSimulation