Minsky is described as 'Enables the simulation of models (particularly from economics) defined in terms of coupled ordinary differential equations. The models are defined using a drawing canvas (rather like VisSim), and a double entry bookkeeping system known as a Godley table' and is an app. There are seven alternatives to Minsky for Windows, Linux, Mac and Web-based. The best Minsky alternative is Xcos, which is both free and Open Source. Other great apps like Minsky are Simulink, Caedium, Insight Maker and EMSO simulator.
Xcos is a graphical editor to design hybrid dynamical systems models. Models can be designed, loaded, saved, compiled and simulated.
Xcos is the most popular Windows, Mac & Linux alternative to Minsky.
Xcos is the most popular Open Source & free alternative to Minsky.
Simulink® is a block diagram environment for multidomain simulation and Model-Based Design. It supports simulation, automatic code generation, and continuous test and verification of embedded systems.
Simulink is the most popular commercial alternative to Minsky.
Caedium (formerly SymLab) and its add-ons combine to form an easy-to-use Computational Fluid Dynamics (CFD) software system to help you assess the performance of your 3D models.
Explore powerful simulation algorithms for System Dynamics and Agent Based Modeling in a truly cohesive environment. Use System Dynamics to gain insights into your system. Use Agent Based Modeling to granularly break apart the details.
Insight Maker is the most popular Web-based alternative to Minsky.
EMSO simulator is an equation-oriented process simulator with a graphical interface for modeling complex dynamic or steady-state processes. It is CAPE-OPEN compliant. EMSO stands for Environment for Modeling, Simulation, and Optimization.
simcision is a visual, web-based tool for modeling and exploring complex systems through interactive simulations.
The General Algebraic Modeling System (GAMS) is a high-level modeling system for mathematical optimization. GAMS is designed for modeling and solving linear, nonlinear, and mixed-integer optimization problems.
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