DAETools is described as 'DAE Tools is equation-based object-oriented modelling, simulation and optimisation software. Its Hybrid approach to mathematical modelling lets you easily develop models of complex multiscale/multiphysics processes/phenomena' and is an app in the education & reference category. There are seven alternatives to DAETools for a variety of platforms, including Mac, Windows, Linux, BSD and Python apps. The best DAETools alternative is SciPy, which is both free and Open Source. Other great apps like DAETools are NumPy, COMSOL Multiphysics, Xcos and OpenModelica.
SciPy is a collection of mathematical algorithms and convenience functions built on NumPy. It adds significant power to Python by providing the user with high-level commands and classes for manipulating and visualizing data.
United States
NumPy is the fundamental package for scientific computing in Python. It is a Python library that provides a multidimensional array object, various derived objects (such as masked arrays and matrices), and an assortment of routines for fast operations on arrays, including...
United States
COMSOL Multiphysics is an engineering, design, and finite element analysis software environment for the modeling and simulation of any physics-based system.
Xcos is a graphical editor to design hybrid dynamical systems models. Models can be designed, loaded, saved, compiled and simulated.
France
EU
OpenModelica – A Free Modelica Environment! OpenModelica is an open-source Modelica-based modeling and simulation environment intended for industrial and academic usage. Its long-term development is supported by a non-profit organization – the Open Source Modelica Consortium (OS.
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.
Japan