Introduction

Welcome to the Systems Engineering Library (se-lib) (previously called PyML). It provides capabilities for integrated systems modeling, simulation, analysis and diagrams covering SysML, discrete event and continuous system dynamics simulation, reliability analysis, causal analysis, project management, and more using simple Python code as the glue.

The open source Python scientific computing ecosystem enables advanced analysis with powerful libraries and language features. se-lib is built with Graphviz, Matplotlib, NetworkX, NumPy, PySD, SciPy, and SimPy.

Quick Start

Try se-lib instantly with these Colab notebooks in a browser, no installation required.

• se-lib examples
• System dynamics modeling user’s guide and examples (Google Colab)
• Discrete event modeling user’s guide and examples (Google Colab)

se-lib also runs on standalone web pages for rapid experimentation and instruction.

• SysML Diagram Scratchpad
• Discrete Event Modeling Demonstrations
• se-lib playground

Current Features

This current features of se-lib can be found under Function Reference.

Presentations

The following was presented at the 2022 INCOSE San Diego Mini-Conference.

• Introduction to PyML

Acknowledgments

se-lib research and development is supported by these sponsors:

• Boehm Center for Systems and Software Engineering

• Naval Postgraduate School Foundation

• Marine Corps Air Station (MCAS) Miramar

Feedback

We value your feedback. Tell us how we can make se-lib, its documentation and this website more useful. Please send comments, suggestions and interest in supporting the development to info@se-lib.org.