SimPy - Discrete-Event Simulation

Overview

SimPy is a process-based discrete-event simulation framework based on standard Python. Use SimPy to model systems where entities (customers, vehicles, packets, etc.) interact with each other and compete for shared resources (servers, machines, bandwidth, etc.) over time.

Core capabilities:

• Process modeling using Python generator functions
• Shared resource management (servers, containers, stores)
• Event-driven scheduling and synchronization
• Real-time simulations synchronized with wall-clock time
• Comprehensive monitoring and data collection

When to Use This Skill

Use the SimPy skill when:

1. Modeling discrete-event systems - Systems where events occur at irregular intervals
2. Resource contention - Entities compete for limited resources (servers, machines, staff)