Phitter identifies optimal probability distributions by analyzing datasets, evaluating over 80 continuous and discrete distributions with goodness-of-fit tests and interactive visualizations. It provides modeling guides and methodological spreadsheets for applications in data science, operations research, and AI. Additionally, Phitter enables process and queuing simulations with configurable parameters, including servers, capacity, population size, and service discipline FIFO, LIFO and PBS, ensuring adaptability to diverse research and operational needs.

This web contains the documentation of the Phitter Python Library