| Votes | By | Price | Discipline | Year Launched |
| Scilab | OPEN SOURCE | Interdisciplinary |
Description
Features
Offers
Reviews
Scilab is an open-source numerical computation and scientific programming platform, widely used for engineering, mathematics, data analysis, and simulation. First released in the 1990s by INRIA and ENPC in France, it serves as a free alternative to commercial tools like MATLAB.
Key Features
- High-level programming language for numerical computing
- Extensive mathematical libraries: linear algebra, differential equations, optimization, signal processing, statistics, control systems
- Xcos, a graphical block-diagram editor similar to Simulink, used for modeling and simulating dynamic systems
- Rich visualization capabilities (2D/3D plotting)
- Toolboxes for specialized scientific and engineering domains
- Interoperability with C, C++, Java, Fortran, and Python
- Cross-platform support: Windows, macOS, Linux
Use Cases
- Engineering simulations
- Control system design
- Data analysis and visualization
- Algorithm development and prototyping
- Academic teaching and research
Why It Matters
Scilab remains one of the most mature and powerful open-source computational environments, especially valued in academia and industries seeking a cost-effective alternative to proprietary systems. It also supports large-scale numerical computations and can be extended with custom modules.
Data Mining, Data Analysis, Statistical Checks, Data Visualisation, 2D/3D plotting,