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A practical guide to replacing LabVIEW with Python for manufacturing test automation, with concept mappings, code examples, and TofuPilot integration.
Learn how to connect to and control test instruments (DMMs, oscilloscopes, power supplies) from Python using PyVISA, with TofuPilot measurement logging.
Track test station performance across multiple factories from a single dashboard. Compare yield, throughput, and measurement drift by site and station.
Operator prompts pause automated tests for manual steps. Learn how to add prompts with text input, choices, and timeouts to OpenHTF tests.
Structure your OpenHTF tests so TofuPilot captures audit-ready records with serial numbers, measurements, limits, and metadata.
Compare first-pass yield across production lines to identify underperforming equipment, operator training gaps, and process variation.
Shift-left quality moves defect detection earlier in the manufacturing process. Learn how it reduces cost and how test data enables it.
Record parent/child serial number relationships in your test data to trace sub-assemblies across boards, modules, and final products.
Learn how to track operator training, certification status, and test authorization using TofuPilot properties and station access controls.
Learn how to measure Rolled Throughput Yield (RTY) across multi-step manufacturing processes and track it in TofuPilot's dashboard.
Learn what test data management is, why spreadsheets fail at scale, and how TofuPilot structures your electronics test data automatically.
Learn how retesting inflates costs in manufacturing, identify root causes, and use TofuPilot's unit history to track and reduce retest rates.