stanford-ssi/samwise-flight-software
Oct 2025 – Oct 2025
1 Month active
Languages Used
Python
Technical Skills
CircuitPythonEmbedded SystemsHardware IntegrationRaspberry Pi
SSI-durand-GCS
PROFILE
Ssi-durand-gcs
Durand developed hardware compatibility and radio integration features for the stanford-ssi/samwise-flight-software repository, focusing on enhancing ground station support for Raspberry Pi platforms. Using CircuitPython and Python, Durand implemented updated pin mappings and integrated the RFM9x radio module, enabling the software to operate reliably across various Raspberry Pi boards. The work included adding fallback logic for non-standard hardware, updating dependency management, and configuring library imports to support new hardware configurations. This engineering effort improved hardware portability and reliability, allowing for faster field deployment and easier maintenance. The scope was focused, with depth in embedded systems and hardware integration.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
44
Activity Months1
Your Network
126 people
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for stanford-ssi/samwise-flight-software. Focus this month was on hardware compatibility and radio integration for the ground station, with associated dependency updates to support new hardware configurations. The work enhances hardware portability and reliability, enabling faster field deployment and easier maintenance across Raspberry Pi based ground stations.
1 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for stanford-ssi/samwise-flight-software. Focus this month was on hardware compatibility and radio integration for the ground station, with associated dependency updates to support new hardware configurations. The work enhances hardware portability and reliability, enabling faster field deployment and easier maintenance across Raspberry Pi based ground stations.
October 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
CircuitPythonEmbedded SystemsHardware IntegrationRaspberry Pi
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