alterlab-simpy
CommunityProcess-based discrete-event simulations
AuthorAlterLab-IEU
Version1.0.0
Installs0
System Documentation
What problem does it solve?
SimPy enables modeling and analysis of systems where processes contend for resources and events unfold over time. It provides a straightforward way to express workflows, queues, and resource interactions, helping teams forecast performance and experiment with design choices.
Core Features & Use Cases
- Process-based modeling using Python generator functions to represent activities and interactions.
- Resource management for common patterns (Resource, PriorityResource, PreemptiveResource, Container, Store, FilterStore, PriorityStore).
- Event-driven scheduling, synchronization, and inter-process communication.
- Monitoring and data collection utilities to observe queues, utilization, and throughput.
- Use cases include manufacturing lines, service operations, network simulation, logistics, and healthcare process studies.
Quick Start
Create a simple two-process simulation where two tasks share a single server and run for a short period.
Dependency Matrix
Required Modules
simpy
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: alterlab-simpy Download link: https://github.com/AlterLab-IEU/AlterLab-Academic-Skills/archive/main.zip#alterlab-simpy Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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