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.
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.
