Guides

Learn how to track test fixture health, calibration, and lifecycle using TofuPilot's station monitoring and measurement trending.

Learn how to manage separate test environments with environment variables, config files, and TofuPilot workspace separation.

Learn how to monitor hardware test operations in real time using TofuPilot's live dashboards, yield tracking, and instant failure alerts.

Learn how to automate sensor calibration workflows, track calibration certificates, and manage multi-point calibration data with TofuPilot.

Learn how to package, distribute, and deploy OpenHTF test scripts to production stations using virtual environments, PyInstaller, and version tracking.

Adaptive testing uses real-time data to adjust test sequences, skip redundant checks, and reduce cycle time. Learn how it works and where it applies.

An EOL operator screen must be fast, clear, and error-proof. Learn how to design the interface for end-of-line test stations.

Set up hardware-in-the-loop testing for embedded systems using Python, GPIO control, and TofuPilot logging for automated regression analysis.

Learn how to share hardware test data across teams using TofuPilot's centralized platform for collaborative debugging and quality analysis.

Learn how to compile FDA-compliant Device History Records using TofuPilot's per-unit test data, traceability, and structured measurement storage.

Structure HIL test results with firmware versions and environmental data for regression tracking in TofuPilot.

Learn how to collect hardware test data in offline or air-gapped environments and sync it to TofuPilot when connectivity is restored.