PiModelPlus

PiModelPlus is an open-source software framework designed for probabilistic modeling and statistical inference on edge devices, with a focus on Raspberry Pi-based systems. It provides a modular environment for building, training, and deploying models in resource-constrained settings.

The framework includes a declarative modeling language, a set of reusable model templates, an inference engine with support for variational inference and Markov chain Monte Carlo, and deployment utilities that generate optimized runtimes for Python, C++, or embedded ecosystems. It emphasizes portability across platforms and reproducibility of results.

Its architecture comprises a modeling layer, a data ingestion and preprocessing pipeline, multiple inference backends, a runtime scheduler, and a plugin system for hardware accelerators or custom operators. It supports batch and online inference, streaming data, and lightweight evaluation metrics suitable for edge deployments.

PiModelPlus was released by an international community of researchers and hobbyists and is maintained on a public repository with open contribution guidelines. The project is designed to be compatible with common Raspberry Pi operating systems and supports extension through plug-ins and templates.

Use cases include sensor data analysis, anomaly detection, robotics control loops, and educational demonstrations of probabilistic modeling. Limitations include constraints of single-board computers on large models, and performance variability depending on hardware, power, and ambient conditions.

See also Pi frameworks, PyMC, Stan; comparison of probabilistic programming languages.