Brief summary
Scilab is a comprehensive, open-source scientific computing environment designed for engineers, researchers, and educators. It offers a high-level programming language plus a large library of mathematical routines, making it suitable for numerical computation, visualization, and rapid prototyping.
Main strengths
- Built-in support for data visualization, including both 2D and 3D plotting tools
- Tools for creating applications and developing custom algorithms
- Hundreds of ready-to-use mathematical functions and advanced data structures
- Capabilities for numerical analysis and handling large-scale computations
Modeling and diagram-based simulation
Scilab ships with Xcos, a graphical editor and simulator for modeling hybrid dynamical systems. With Xcos you can:
- Assemble models from reusable blocks and custom palettes
- Configure simulations, tweak component parameters, and run scenario tests
- Customize models for specific workflows and build reusable block libraries
Who benefits most
This platform is well-suited to people who need:
- Data analysis and scientific visualization
- Algorithm research and prototyping
- Application development for engineering and academic projects
Licensing and community use
Scilab is distributed under the CeCILL free software license, which allows sharing and collaboration within local research groups or educational institutions without licensing fees.
Suggested free alternative
Maxima — a free symbolic computation system — is a commonly recommended alternative for users focused primarily on symbolic math.
Technical
- Mac
- Windows
- Free