zephyrproject-rtos/zephyr
Jan 2026 – Jan 2026
1 Month active
Languages Used
Python
Technical Skills
Python scriptingdata visualizationembedded systemsmemory managementscripting
Jon Ringle
PROFILE
Jon Ringle
Worked on the zephyrproject-rtos/zephyr repository to enhance memory usage reporting and data visualization tools. Addressed reliability by implementing robust TLS symbol attribution in the size report script, using section flags to accurately classify TLS symbols and prevent misclassification with normal VMAs. Improved user experience by adding safeguards to the hover text logic, ensuring that missing total_size values do not produce misleading output. Enhanced the readability of interactive sunburst plots by increasing label font size, making data insights more accessible. Utilized Python scripting and data visualization techniques, with a focus on embedded systems and memory management, to deliver these improvements.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
1
Lines of code
40
Activity Months1
Your Network
727 peopleSame Organization
@gridpoint.com1
Work History
January 2026
3 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for zephyrproject-rtos/zephyr: Delivered reliability improvements to footprint tooling and a usability enhancement for data visualization. Implemented robust TLS symbol attribution in the size report, added safeguards for missing total_size in hover text, and improved sunburst plot readability by increasing label font size. These changes improve accuracy of memory usage reporting, reduce misleading output, and enhance user experience for data insights.
3 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for zephyrproject-rtos/zephyr: Delivered reliability improvements to footprint tooling and a usability enhancement for data visualization. Implemented robust TLS symbol attribution in the size report, added safeguards for missing total_size in hover text, and improved sunburst plot readability by increasing label font size. These changes improve accuracy of memory usage reporting, reduce misleading output, and enhance user experience for data insights.
January 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability93.4%
Architecture93.4%
Performance93.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Python scriptingdata visualizationembedded systemsmemory managementscripting
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