Opentrons/opentrons
Mar 2026 – May 2026
3 Months active
Languages Used
CSSHTMLJavaScriptPython
Technical Skills
Pythondata visualizationfront end developmentweb developmentPython programmingasynchronous programming
Carlos-fernandez
PROFILE
Carlos-fernandez
Over a three-month period, contributed to the Opentrons/opentrons repository by developing tools and frameworks for hardware testing and data validation. Built a realtime data visualization dashboard using Python and JavaScript, featuring a lightweight HTTP server and Plotly.js frontend for live CSV data monitoring during hardware tests. Delivered a modular hardware testing framework for vacuum modules and peristaltic pumps, supporting automated data logging and sensor integration. Enhanced vacuum module stress tests by refining pressure parameters, improving CSV data capture, and refactoring asynchronous test logic for reliability. The work emphasized asynchronous programming, data logging, and robust frontend integration to accelerate hardware validation cycles.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
3
Lines of code
2,258
Activity Months3
Your Network
29 peopleWork History
May 2026
1 Commits • 1 Features
May 1, 2026Month 2026-05 summary for Opentrons/opentrons: Delivered Vacuum Module Stress Test and Data Logging Enhancement. Key improvements include updating vacuum stress test pressure parameters, improving data logging and CSV writing logic, and refactoring asynchronous test functions for better performance and reliability. The work is captured in commit 73e416ec24a2fd21259fd23855e90c4a3807fbd9 (Fix(hardware testing) modify vacuum module stress test (#21477)).
1 Commits • 1 Features
May 1, 2026Month 2026-05 summary for Opentrons/opentrons: Delivered Vacuum Module Stress Test and Data Logging Enhancement. Key improvements include updating vacuum stress test pressure parameters, improving data logging and CSV writing logic, and refactoring asynchronous test functions for better performance and reliability. The work is captured in commit 73e416ec24a2fd21259fd23855e90c4a3807fbd9 (Fix(hardware testing) modify vacuum module stress test (#21477)).
May 2026
April 2026
1 Commits • 1 Features
Apr 1, 2026Delivered a hardware testing framework for vacuum module and peristaltic pump in Opentrons, with new drivers, test scripts, flow rate sensor support, vacuum pump control, and automated data logging. This framework enables automated, reproducible hardware validation, reduces manual testing time, and accelerates hardware feature validation. Work is tracked under commit e517b889c64afd92e56480a78bd37496e838d99b and relates to issue #21150.
April 2026
1 Commits • 1 Features
Apr 1, 2026Delivered a hardware testing framework for vacuum module and peristaltic pump in Opentrons, with new drivers, test scripts, flow rate sensor support, vacuum pump control, and automated data logging. This framework enables automated, reproducible hardware validation, reduces manual testing time, and accelerates hardware feature validation. Work is tracked under commit e517b889c64afd92e56480a78bd37496e838d99b and relates to issue #21150.
March 2026
1 Commits • 1 Features
Mar 1, 2026Monthly summary for 2026-03 focusing on features delivered, bugs fixed, impact, and technical skills demonstrated in Opentrons/opentrons. Key feature delivered: - Realtime Data Visualization Dashboard for Hardware Testing: Implemented a realtime plotting tool (realtime-plot) that spins up a lightweight HTTP server on the device and serves a browser-based dashboard. The frontend polls latest CSV data every 100 ms and renders live charts using Plotly.js, enabling immediate visual feedback for hardware testing and data changes. The solution is designed to work offline (no internet required on device). Major bugs fixed: - N/A for this feature sprint (no explicit bug fix entries provided in input). Impact and accomplishments: - Provides an end-to-end hardware testing and data-validation workflow with near-instant visual feedback, reducing debug cycles and accelerating validation of hardware changes. - Enables developers and testers to observe live data trends during hardware tests, improving confidence in test results and quicker iteration. Technologies/skills demonstrated: - Live data visualization frontend (Plotly.js) integrated with a lightweight server - Real-time data polling at 100 ms interval for low-latency feedback - End-to-end tool for hardware testing pipelines with offline capability - Clear traceability to commit 1193edc5ab8c99729230a16c142e260472972126
1 Commits • 1 Features
Mar 1, 2026Monthly summary for 2026-03 focusing on features delivered, bugs fixed, impact, and technical skills demonstrated in Opentrons/opentrons. Key feature delivered: - Realtime Data Visualization Dashboard for Hardware Testing: Implemented a realtime plotting tool (realtime-plot) that spins up a lightweight HTTP server on the device and serves a browser-based dashboard. The frontend polls latest CSV data every 100 ms and renders live charts using Plotly.js, enabling immediate visual feedback for hardware testing and data changes. The solution is designed to work offline (no internet required on device). Major bugs fixed: - N/A for this feature sprint (no explicit bug fix entries provided in input). Impact and accomplishments: - Provides an end-to-end hardware testing and data-validation workflow with near-instant visual feedback, reducing debug cycles and accelerating validation of hardware changes. - Enables developers and testers to observe live data trends during hardware tests, improving confidence in test results and quicker iteration. Technologies/skills demonstrated: - Live data visualization frontend (Plotly.js) integrated with a lightweight server - Real-time data polling at 100 ms interval for low-latency feedback - End-to-end tool for hardware testing pipelines with offline capability - Clear traceability to commit 1193edc5ab8c99729230a16c142e260472972126
March 2026
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Quality Metrics
Correctness86.6%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSSHTMLJavaScriptPython
Technical Skills
PythonPython programmingasynchronous programmingdata loggingdata visualizationfront end developmenthardware testingroboticsserial communicationweb development
Repositories Contributed To
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