PiTrPi

PiTrPi is an open-source software framework designed for educational and experimental data analysis at the intersection of probability and geometry. It provides a lightweight runtime and a suite of modular libraries for probabilistic modeling, trigonometric data processing, and interactive visualization. The project emphasizes reproducibility, cross-language accessibility, and extensibility through a plugin system that lets users add custom algorithms and visual components.

Named to reflect its focus on the mathematical constant pi and triadic data concepts, PiTrPi aims to bridge abstract theory with practical computation in classroom and research settings.

PiTrPi was initiated in 2020 by a collaborative group of educators and researchers. Version 1.0 was released in 2021, followed by iterative improvements and new API bindings. Major milestones include the addition of a Python interface, a browser-based dashboard, and GPU-accelerated kernels for core math routines. The project is hosted on GitHub and distributed under an MIT-style permissive license.

Its architecture centers on a core C++ runtime with Python and JavaScript bindings. Core modules cover probabilistic modeling (including Bayesian components), trig-based data transforms, and flexible data I/O (CSV, JSON, HDF5). A plugin system enables custom algorithms and visualization widgets, with tight integration into Jupyter notebooks and web dashboards for rapid experimentation.

PiTrPi is used in university courses to demonstrate concepts in statistics and geometry and in research projects exploring probabilistic-trigonometric analyses. Users praise its approachable API and documentation, while advanced workloads may require optimization or fallback to more specialized libraries.

See also: Pi, probability, trigonometry, data visualization.