OpenModelica vs 20-sim

Struggling to choose between OpenModelica and 20-sim? Both products offer unique advantages, making it a tough decision.

OpenModelica is a Development solution with tags like opensource, modeling, simulation, integrated-environment, industrial-usage, academic-usage.

It boasts features such as Modeling and simulation of complex systems, Acausal modeling with Modelica language, Integrated development environment, Model library with many common component models, Simulation of both continuous and discrete systems, Optimization and symbolic algorithms, Import/export of models and libraries, Modeling, simulation and analysis of electrical power systems, Real-time simulation and hardware-in-the-loop simulations and pros including Free and open source, Cross-platform (Windows, Linux, Mac), Active development community, Good documentation and tutorials, Flexible licensing for commercial use.

On the other hand, 20-sim is a Development product tagged with modeling, simulation, mechatronic-systems, electrical-systems, mechanical-systems, hydraulic-systems, control-systems.

Its standout features include Graphical modeling language, Modeling of mechanical, electrical, hydraulic and control systems, Simulation and analysis of dynamic systems, Linearization tools, Frequency domain analysis, Control design tools, Code generation for C++, MATLAB, etc, and it shines with pros like Intuitive graphical interface, Large model libraries and examples, Can handle complex multi-domain systems, Advanced analysis and design tools, Can export models to other tools.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

OpenModelica

OpenModelica

OpenModelica is an open-source modeling and simulation environment intended for industrial and academic usage. It provides an integrated graphical modeling, compilation and simulation environment based on open standards.

Categories:
opensource modeling simulation integrated-environment industrial-usage academic-usage

OpenModelica Features

  1. Modeling and simulation of complex systems
  2. Acausal modeling with Modelica language
  3. Integrated development environment
  4. Model library with many common component models
  5. Simulation of both continuous and discrete systems
  6. Optimization and symbolic algorithms
  7. Import/export of models and libraries
  8. Modeling, simulation and analysis of electrical power systems
  9. Real-time simulation and hardware-in-the-loop simulations

Pricing

  • Open Source

Pros

Free and open source

Cross-platform (Windows, Linux, Mac)

Active development community

Good documentation and tutorials

Flexible licensing for commercial use

Cons

Limited analysis and debugging capabilities compared to commercial tools

Less extensive model libraries than commercial alternatives

Lacks some advanced simulation algorithms present in commercial tools


20-sim

20-sim

20-sim is an modeling and simulation software used for mechatronic systems. It allows users to model, analyze, and simulate dynamic systems like electrical, mechanical, hydraulic and control systems. The graphical modeling language makes it easy to build models.

Categories:
modeling simulation mechatronic-systems electrical-systems mechanical-systems hydraulic-systems control-systems

20-sim Features

  1. Graphical modeling language
  2. Modeling of mechanical, electrical, hydraulic and control systems
  3. Simulation and analysis of dynamic systems
  4. Linearization tools
  5. Frequency domain analysis
  6. Control design tools
  7. Code generation for C++, MATLAB, etc

Pricing

  • Free limited version
  • Academic pricing
  • Commercial pricing

Pros

Intuitive graphical interface

Large model libraries and examples

Can handle complex multi-domain systems

Advanced analysis and design tools

Can export models to other tools

Cons

Steep learning curve

Limited adoption outside academia

Not ideal for very large scale or real-time models

Lacks some advanced modeling capabilities