SimulSI

Simulation Intelligence - Model the system. Simulate the future.

SimulSI is a general-purpose, reproducible discrete-event simulation and scenario experimentation framework for Python: model queues, resources, entities and disruptions as processes, then run reproducible experiments with confidence intervals, paired scenario comparisons, Monte Carlo and sensitivity analysis.

pip install simulsi            # add [viz] for plots, [all] for pandas/Parquet/Plotly
simulsi init my-study && cd my-study && simulsi experiment experiment.yaml

New here? Start with Getting started, then Core concepts and Experiments and analysis. Every public class and function is documented in the API reference.

Topics

Topic	Page
Why SimulSI?	README
Installation	Getting started
Quickstart	Getting started
Core concepts	Concepts
Events	Concepts: events
Entities	Concepts: entities
Resources	Concepts: resources
Queues	Concepts: queues
Processes	Concepts: processes
Randomness	Concepts: randomness
Metrics	Concepts: metrics
Failures and disruptions	Concepts: failures
Snapshots, logs, graphs	Concepts: introspection
Model validation	Concepts: validation
Models and scenarios	Experiments
Experiments	Experiments
Statistics	Experiments: statistics
Scenario comparison	Experiments: comparison
Monte Carlo	Experiments: Monte Carlo
Sensitivity analysis	Experiments: sensitivity
Cost models	Experiments: cost
Optimisation	Experiments: optimisation and surrogates
Visualization & dashboard	Visualization
CLI & YAML configuration	CLI
Architecture	Architecture
Extending SimulSI	Extending
Research workflow	Research
Built-in models and what-ifs	Model gallery
Examples	Examples
FAQ & comparison with other tools	FAQ
Benchmarks	Benchmarks
Contributing	CONTRIBUTING