SimPhy

SimPhy

SimPhy is an open-source, web-based application for modeling, simulation, and analysis of complex systems. It allows users to visually construct models using building blocks, run simulations, and analyze results.
SimPhy image
modeling simulation analysis complex-systems

SimPhy: Open-Source System Modeling & Simulation

An open-source web application for modeling, simulation, and analysis of complex systems, allowing users to visually construct models using building blocks.

What is SimPhy?

SimPhy is an open-source, web-based application for modeling, simulation, and analysis of complex systems. It provides a visual interface for building system dynamics models using basic building blocks such as stocks, flows, variables, connectors, and more.

With SimPhy, users can quickly construct simulation models by dragging and dropping elements onto the canvas and connecting them. The software automatically generates the underlying mathematical equations and code. Once a model is built, users can run simulations and view dynamic graphs of results over time.

Some key features and benefits of SimPhy include:

  • Intuitive visual interface for model building
  • Stocks and flows diagramming for system dynamics modeling
  • Model documentation and sharing capabilities
  • Optimization tools and sensitivity analysis
  • APIs for connecting external data sources and models
  • Open-source JavaScript framework for cross-platform accessibility

SimPhy facilitates conceptualization, analysis, and understanding of complex systems across a wide range of domains such as biology, ecology, business, economics, social science and more. With its flexibility and focus on usability, SimPhy enables faster modeling and simulation to gain rapid insights.

SimPhy Features

Features

  1. Drag-and-drop interface for model building
  2. Library of building blocks for various domain models
  3. Discrete event simulation engine
  4. Run simulations and visualize results
  5. Analyze data and create plots
  6. Collaborative modeling and sharing

Pricing

  • Open Source

Pros

Intuitive visual interface

No programming required

Open source and free

Active community support

Can model complex systems

Customizable and extensible

Cons

Limited analysis and data visualization features

Not suitable for large-scale or high performance simulations

Steep learning curve for advanced features

Lacks features of commercial tools like verification and optimization


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