SimulationX is described as 'Interdisciplinary, multi-domain simulation software for the design, analysnd optimization of complex systems on a single platform. More than 500 ready-to-use model elements and over 300 examples of models from 11 application areas simplify and accelerate' and is an app in the education & reference category. There are more than 25 alternatives to SimulationX for a variety of platforms, including Windows, Linux, Mac, Web-based and Python apps. The best SimulationX alternative is MATLAB. It's not free, so if you're looking for a free alternative, you could try Spyder or SciPy. Other great apps like SimulationX are Circuit JS, NumPy, Ardos and FEATool Multiphysics.
Pictorus is a visual software development platform, designed from the ground up for modern engineers. Design and deploy powerful, reliable software from any browser to hardware instantly. Block diagrams are continuously re-compiled into binary executables for your target...
Aim of this project is bring classical control theory and signal processing to your projects. You can develop digital circuit in z-domain, simulate it and generate the portable c code. You can easily use it even on embedded projects because there is no single dependency, there...
Multi-Engineering Modeling and Simulation The unique multi-engineering capabilities of Dymola presents new and revolutionary solutions for modeling and simulation as it is possible to simulate the dynamic behavior and complex interactions between systems of many engineering field.
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This java applet is an electronic circuit simulator. When the applet starts up you will see an animated schematic of a simple LRC circuit. The green color indicates positive voltage. The gray color indicates ground. A red color indicates negative voltage.
StochSD (Stochastic System Dynamics) is a System Dynamics simulation software with focus on stochastics. It is a form of Continuous System Simulation (CSS) that in addition to model and simulate continuous flows between compartments, can handle transitions of discrete entities.
CuPy is an open-source array library for GPU-accelerated computing with Python. CuPy utilizes CUDA Toolkit libraries including cuBLAS, cuRAND, cuSOLVER, cuSPARSE, cuFFT, cuDNN and NCCL to make full use of the GPU architecture.
Browser-based circuit simulator for learning and experimentation, with animated current flow, oscilloscope waveforms, 50+ component types, 360+ examples, guides, shareable circuits, browser saving, and an AI circuit explainer for students and makers.
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