lainariskit

Lainariskit is an open-source software library that supports probabilistic risk assessment for long, linear systems such as pipelines, rail corridors, and road networks. It provides a transparent framework for modeling how risks propagate along a path and for communicating results to engineers and decision-makers.

Key features include data import, configurable stochastic models, Monte Carlo simulation, sensitivity analysis, scenario planning, and automated reporting. The library emphasizes reproducibility, with versioned model templates, clear documentation, and compatibility with common data formats and tools.

Architecture: lainariskit centers on a core risk engine with modular factor components (environmental loads, mechanical failures, supply disruptions) and interfaces to GIS data. It supports Python bindings and an optional domain-language for model specification, enabling both programmatic and declarative workflows.

Usage: Analysts define risk factors, distributions, dependencies, and impact functions, then execute ensembles of simulations to obtain outcome distributions, key risk indicators, and ranked drivers. Results can be exported as reports or visualized in dashboards.

Development and licensing: The project is released under the MIT License and hosted in an open repository with active issue tracking, continuous integration, and comprehensive documentation. Community contributions from industry and academia are encouraged.

Impact: Lainariskit has been used in pilot studies for infrastructure planning and risk-informed decision making, illustrating a transparent approach to uncertainty propagation in linear systems.