pyDEXPI - An open-source tool in Python that implements the DEXPI data model

Smart, machine-readable Piping and Instrumentation Diagram (P&ID) data is key to unlocking innovation in the process industry, especially for emerging applications like Generative Artificial Intelligence (GenAI) - see examples of GenAI for the process industry. pyDEXPI helps enable this by making the DEXPI standard accessible and usable in Python.

pyDEXPI is an open-source tool in Python that implements the DEXPI data model. Importantly, pyDEXPI includes a Pydantic data class model of the DEXPI data model. This allows building Python applications with the DEXPI standard. pyDEXPI further provides functions to load a Proteus .xml export of DEXPI, the current DEXPI exchange format, into the data model.

pyDEXPI implements a parser to a graph representation of Piping and Instrumentation Diagrams (P&IDs) using NetworkX. This allows the user to work easily with the graph data.

Supports DEXPI version 1.3.

Features

• DEXPI data model as Pydantic classes in Python.
• Load Proteus .xml files to a pyDEXPI instance.
• pyDEXPI toolkit to analyze and manipulate pyDEXPI models.
• Parse pyDEXPI instance to graph in NetworkX.
• Synthetic DEXPI P&ID generation for generative Artificial Intelligence (AI).

Citation

Please reference this software package as:

@InProceedings{pyDEXPI,
  author    = {Goldstein, Dominik P. and Schulze Balhorn, Lukas and Alimin, Achmad Anggawirya and Schweidtmann, Artur M.},
  booktitle = {Proceedings of the 35th European Symposium on Computer Aided Process Engineering (ESCAPE35)},
  title     = {pyDEXPI:{A} {Python} framework for piping and instrumentation diagrams using the {DEXPI} information model},
  year      = {2025},
  address   = {Ghent, Belgium},
  month     = {July},
  doi       = {https://doi.org/10.69997/sct.139043},
}