DPInaiv
DPInaiv is a modular software framework for data processing and AI inference designed to facilitate rapid development and experimentation with machine learning pipelines. The project emphasizes ease of integration with existing data sources and visualization tools, providing a cohesive environment in which data processing, model inference, and result visualization can be orchestrated within a single workflow.
At its core, DPInaiv comprises a pluggable pipeline engine, data adapters, an inference core, and a visualization
Key features include connectors for databases, streams, and files; a modular inference engine that accommodates standard
DPInaiv is used in research and education to prototype AI workflows, validate model behavior against real data,
The project adopts an open governance model and a permissive open-source license. A community of contributors