Forscape Alternatives
Forscape is described as 'A language and editor focused on scientific computation, solving engineering problems with safety checks, low-cost abstraction, and matrix programming' and is a numerical computation software in the development category. There are more than 10 alternatives to Forscape for a variety of platforms, including Windows, Linux, Mac, BSD and Python apps. The best Forscape alternative is R (programming language), which is both free and Open Source. Other great apps like Forscape are GNU Octave, MATLAB, SageMath and Spyder.
Alternatives list
- 97 Xcos alternatives
Xcos is a graphical editor to design hybrid dynamical systems models. Models can be designed, loaded, saved, compiled and simulated.
Cost / License
- Free
- Open Source
Platforms
- Mac
- Windows
- Linux



FreeMat is an environment for rapid engineering and scientific processing. It is similar to commercial systems such as MATLAB from Mathworks and IDL from Research Systems, but is Open Source.
Cost / License
- Free
- Open Source
Alerts
- Discontinued
Platforms
- Mac
- Windows
- Linux
- PortableApps.com

A fresh (experimental) look at Scilab 6.x. Contribute to rdbyk/balisc development by creating an account on GitHub.
Cost / License
- Free
- Open Source
Platforms
- Linux
The OpenMatrix Language provides all scientists, technologists, engineers, & mathematicians (i.e., people in STEM fields) with open access to a powerful matrix-based computational engine.
Cost / License
- Free
- Open Source
Platforms
- Windows
- Linux
ScicosLab is a software package providing a multi-platform environment for scientific computation. It is based on the official Scilab 4.x (BUILD4) distribution, and includes the modeling and simulation tool Scicos and a number of other toolboxes.
Cost / License
- Free
- Open Source
Platforms
- Mac
- Windows
- Linux

Nsp is a GPL Scientific Software Package. It is based on a complete new rewrite of ScilabGtk.
Cost / License
- Free
- Open Source
Platforms
- Windows
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.
Cost / License
- Free
- Open Source
Application type
Platforms
- Windows
- Linux
- Python
- Mac
- BSD



























