AFM-SPM/TopoStats
Apr 2026 – Apr 2026
1 Month active
Languages Used
PythonYAML
Technical Skills
Python programmingconfiguration managementdata validationdata visualizationimage processing
TobiFirth
PROFILE
Tobifirth
Worked on the AFM-SPM/TopoStats repository to deliver a user-configurable trace line width feature for image plotting, enhancing the clarity and consistency of visual outputs in reports and dashboards. The implementation involved adding a validated configuration option in YAML, ensuring only positive values were accepted, and standardizing the default to 1.0 for reliable visuals. Addressed configuration hygiene by restoring a missing config file, correcting typos, and cleaning up import paths to improve maintainability. Leveraged Python for programming, configuration management, and data validation, resulting in more robust and user-friendly plotting capabilities while reducing the risk of misconfiguration and support needs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
1
Lines of code
34
Activity Months1
Your Network
34 peopleSame Organization
@sheffield.ac.uk24
Work History
April 2026
5 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for AFM-SPM/TopoStats focusing on business value and technical execution. Delivered a user-configurable trace line width for image plotting with robust validation, improving the clarity and consistency of visual outputs in reports and dashboards. Strengthened configuration hygiene and maintainability through restoration of a missing config file, typo fixes in the config, and import path cleanup. Standardized defaults and validation to prevent misconfigurations, reducing support needs and ensuring reliable visuals across plots.
5 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for AFM-SPM/TopoStats focusing on business value and technical execution. Delivered a user-configurable trace line width for image plotting with robust validation, improving the clarity and consistency of visual outputs in reports and dashboards. Strengthened configuration hygiene and maintainability through restoration of a missing config file, typo fixes in the config, and import path cleanup. Standardized defaults and validation to prevent misconfigurations, reducing support needs and ensuring reliable visuals across plots.
April 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability92.0%
Architecture92.0%
Performance92.0%
AI Usage24.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
Python programmingconfiguration managementdata validationdata visualizationimage processing
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