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The PyDI framework provides methods for end-to-end data integration. The framework covers all steps of the integration process, including schema matching, data translation, entity matching, and data fusion. The framework offers traditional string-based methods as well as modern LLM- and embedding-based techniques for these tasks.
This Python application interfaces with Data Translation (DT) USB DAQ boards (specifically targeted for DT9816) using the Open Layers API (oldaapi64.dll).
Async-friendly, typed Python acquisition layer for Data Translation DT9805/DT9806 USB modules — ctypes binding to the DataAcq SDK with lifecycle management, software thermocouple linearization, and continuous recording.
This repository contains a set of Python scripts that allow you to convert CSV (Comma-Separated Values) files to different formats such as HTML, JSON, and XML.