What is Scilab?

Numerical analysis, often referred to as scientific computing, emphasizes methods for approximating solutions to various mathematical problems. Scilab offers a wide range of graphical functions that enable users to visualize, annotate, and export data, along with a multitude of options for crafting and customizing different plots and charts. Serving as a high-level programming language tailored for scientific applications, Scilab accelerates the prototyping of algorithms while reducing the complications associated with lower-level languages such as C and Fortran, where challenges like memory management and variable declarations can complicate workflows. In Scilab, intricate mathematical calculations can frequently be articulated in a handful of lines of code, while other programming languages may require much more extensive coding efforts. Moreover, Scilab comes equipped with advanced data structures like polynomials, matrices, and graphic handles, and it offers a user-friendly development environment that boosts productivity and simplifies usage for both researchers and engineers. Consequently, Scilab not only streamlines the scientific computing process but also broadens access to these tools for a larger audience, making complex computations more manageable. Furthermore, its extensive library of built-in functions enhances the capacity for users to tackle a variety of mathematical tasks effectively.

Integrations

All Scilab Integrations
Similar Software to Scilab
BrandMap® 10 Reviews & Ratings
BrandMap® 10
Researchers globally opt for this software due to its intuitive interface that facilitates rapid analysis and the creation of visually appealing biplots, correspondence maps, and MCA layouts. This 64-bit application is compatible with both MAC and PC platforms. The Brand Projector I functionally displays and computes essential characteristics for brand repositioning on a visual map. Meanwhile, Brand Projector II offers an interactive experience where researchers can adjust attributes and observe how the brand dynamically shifts in relation to the changes made. This combination of features makes the program an invaluable tool for those in the research community.
Learn more
Azore CFD Reviews & Ratings
Azore CFD
(14 Ratings)
Azore is a software tool designed for computational fluid dynamics (CFD) that focuses on the analysis of fluid movement and thermal transfers. By utilizing CFD, engineers and scientists can numerically tackle a diverse array of problems related to fluid mechanics, thermal dynamics, and chemical interactions through computer simulations. Azore excels in modeling a variety of fluid dynamics scenarios, encompassing air, liquids, gases, and flows containing particles. Its applications are vast, including the modeling of liquid flow through piping systems and assessing water velocity profiles around submerged objects. Furthermore, Azore is adept at simulating the behavior of gases and air, allowing for the exploration of ambient air velocity patterns as they navigate around structures, as well as examining flow dynamics, heat transfer, and mechanical systems within enclosed spaces. This robust CFD software can effectively model nearly any incompressible fluid flow scenario, addressing challenges associated with conjugate heat transfer, species transport, and both steady-state and transient flow conditions. With such capabilities, Azore serves as an invaluable asset for professionals in various engineering and scientific fields requiring precise fluid dynamics simulations.
Learn more
Vensim Reviews & Ratings
Vensim
(1 Rating)
Vensim® is the preferred software for numerous analysts and consultants globally, facilitating the creation of sophisticated simulations across business, scientific, and environmental domains. This software encompasses a robust collection of tools designed for model development, testing, interpretation, and distribution. Among its features are cause and effect diagramming, various methods for graphical or textual model construction, and the ability to easily replicate model structures using subscripts and arrays. Furthermore, Vensim supports Monte Carlo sensitivity analyses, optimization techniques, efficient data management, and application interfaces. Its additional capabilities enhance model resolution and accuracy, while patented methods are employed for detecting and preventing errors, as well as for swiftly comprehending complex results. Overall, Vensim stands out as a comprehensive solution for anyone looking to perform in-depth system simulations.
Learn more
MapleSim Reviews & Ratings
MapleSim
MapleSim is an advanced modeling platform that facilitates everything from the implementation of digital twins for virtual commissioning to the development of comprehensive system models for complex engineering projects, thereby achieving considerable reductions in both time and cost associated with development while effectively tackling real-world performance issues. By focusing on enhancing control code instead of making hardware changes, users can eliminate unwanted vibrations and identify the root causes of performance challenges through detailed simulation analysis. This robust tool enables the assessment of design performance before progressing to the creation of physical prototypes. Utilizing the latest methodologies, MapleSim significantly accelerates the process of model development and deepens the understanding of system dynamics, allowing for swift, high-fidelity simulations. As your simulation needs grow, the platform provides the flexibility to scale and interconnect your models seamlessly. Its versatile modeling language allows for the expansion of designs by integrating components from various domains within a virtual prototype, confidently addressing even the most complex machine performance issues. Furthermore, the iterative nature of the tool encourages continuous refinement and improvement, ultimately empowering engineers to pursue innovation with both efficiency and precision, ensuring their designs fulfill the high standards required for contemporary engineering challenges. In essence, MapleSim is a vital asset for any engineer aiming to navigate the complexities of modern design and simulation effectively.
Learn more

Screenshots and Video

Scilab Screenshot 1
Scilab Screenshot 1

Company Facts

Company Name:
Scilab Enterprises
Company Website:
www.scilab-enterprises.com

Product Details

Deployment
Windows
Mac
Linux
Training Options
On-Site Training
Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

Scilab Categories and Features

Statistical Analysis Software

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

Computer-Aided Engineering (CAE) Software

CAD/CAM Compatibility
Finite Element Analysis
Fluid Dynamics
Import / Export Files
Integrated 3D Modeling
Manufacturing Process Simulation
Mechanical Event Simulation
Multibody Dynamics
Thermal Analysis

Scilab Customer Reviews

Write a Review
  • Reviewer Name: Nicolas L.
    Position: Assistant Professor
    Has used product for: 6-12 Months
    Uses the product: Weekly
    Org Size (# of Employees): 1,000 - 4,999
    Feature Set
    Layout
    Ease Of Use
    Cost
    Customer Service
    Would you Recommend to Others?
    1 2 3 4 5 6 7 8 9 10

    Fair alternative to Matlab

    Date: Jun 18 2020
    Summary

    I had used Scilab back when I was a student, It's an open-source numerical computational software with high-level math-oriented programming language very similar to Matlab and Octave. With only a few difference, the language is actually compatible between these three software packages. The level of compatibility between Scilab, Matlab and Octave is close to 99%. Overall, Scilab is fairly descent and does not stand out as compare to Octave. If you're looking for a free alternative to Matlab that's a fair alternative. But personal take home message: if you have the money (or the licenses) use Matlab (better performance, more features, more powerful). If you want something free use Octave (tiny bit better compatibility with Matlab, slight better performance than Scilab, and more fetaures and toolboxes than Scilab).

    Positive

    The level of compatibility between Scilab, Matlab and Octave is close to 99% which make transitioning from one to another a very easy task. The portability of your codes between these three packages is straightforward. The learning curve is pretty much flat.
    Scilab is available on all 3 platforms (Windows, Linux, and Mac OS X)

    Negative

    Overall, Scilab's performance is less consistent than that of Matlab or Octave in most situations. Of course, it depends on what type of problem you're working on, but for my particular needs, I had always better performance (computational time, memory allocation,...) with Octave than with Scilable. Also, one of the limitation is that Scilab, has much less toolboxes and libraries than its two counterparts. If your looking at basic use of Scilab then you will be fine. But if you're an advanced user, you may feel the limitations.

    Read More...
  • Previous
  • You're on page 1
  • Next