open-risk/transitionMatrix

Methods to get the probability of a changepoint in a time series.

Easy Handling Discrete Time Markov Chains

Python library for analyzing, simulating, and visualizing discrete-time Markov chains and hidden Markov models.

A concise syntax to describe and execute routine data analysis tasks

Detect trend in time series, drawdown, drawdown within a constant look-back window , maximum drawdown, time underwater.

Scalable econometric algorithms (probit, contests, ratings)

Python toolkit, MCP server, and agent skills for reproducible, auditable clickstream and event log analytics. Helps AI agents, data scientists and analysts build, validate, and cross-check product analytics, quantitative UX, customer journeys, graph-based user flows, behavioral segmentation, A/B tests, process mining models, Markov chain simulation

Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation

MARVIS-Agent: all-purpose credit risk agent for model development, validation, data processing, feature engineering, and strategy workflows.