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Learn how to orchestrate multiple instruments (PSU, DMM, serial port) in a single OpenHTF test using plugs, with automatic lifecycle management and logging.
Learn how to manage test data for autonomous vehicles and robotics systems using TofuPilot's multi-stage test tracking and sensor data storage.
Learn how to meet ISO 13485 test documentation requirements for medical devices using TofuPilot's structured data and traceability features.
Configure yield threshold alerts and measurement drift notifications in TofuPilot so you catch production problems before they become expensive.
Learn how to run multiple product SKUs on a single test station using config-driven phase selection, SKU-specific limits, and per-SKU yield tracking.
End-of-line testing validates every unit before it ships. Learn what EOL testing covers, how to structure it in Python, and how to track results with TofuPilot.
Learn how to build dashboards and visualizations for hardware test data using TofuPilot's built-in analytics and charting tools.
Learn how to test PCBA power rails with Python, including voltage regulator limits, current draw checks, sequencing, and automated logging via OpenHTF.
Learn how to manage hardware test data across multiple manufacturing sites and test locations using TofuPilot's centralized platform.
Learn how to catch marginal units before they ship by adding margin tests and stress phases in OpenHTF, then correlating field failures in TofuPilot.
Functional testing validates that hardware behaves correctly as a complete system. Learn the difference from ICT, how to build functional tests in Python.
Predictive quality uses production data to catch defects before they happen. Learn how it works, what data it needs, and how test results feed prediction.