GAMS vs. Scilab Comparison


GAMS	Scilab Scilab Enterprises	+	+
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About GAMS (General Algebraic Modeling System) is a best-in-class mathematical modeling software known for its high performance, scalability, and ease of use. The official release of GAMSPy now allows users to integrate GAMS with Python, enabling flexible and powerful model creation directly within Python. GAMS simplifies the expression of optimization problems with its efficient algebraic modeling language, offering optimal solutions using top-tier mathematical solvers. GAMS MIRO provides graphical interfaces for GAMS models, facilitating local and cloud deployment with advanced visualization features. For scalable model solving, GAMS Engine offers a reliable SaaS solution, allowing models to be solved on-premises or in the cloud. Additionally, GAMS provides workshops, training, and consulting services to help users develop, improve, and deploy decision-support solutions.	About Numerical analysis or Scientific computing is the study of approximation techniques for numerically solving mathematical problems. Scilab provides graphics functions to visualize, annotate and export data and offers many ways to create and customize various types of plots and charts. Scilab is a high level programming language for scientific programming. It enables a rapid prototyping of algorithms, without having to deal with the complexity of other more low level programming language such as C and Fortran (memory management, variable definition). This is natively handled by Scilab, which results in a few lines of code for complex mathematical operations, where other languages would require much longer codes. It also comes with advanced data structure such as polynomials, matrices and graphic handles and provides an easily operable development environment.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Businesses and researchers needing a solution for their scalable mathematical modeling and optimization processes	Audience Statistical Analysis solution for companies
Support Phone Support Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing $3,500 one-time payment Free Version Supported Free Trial Supported	Pricing No information available. Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 3.0 / 5 ease 3.0 / 5 features 3.0 / 5 design 3.0 / 5 support 3.0 / 5 Read all reviews
	Pros & Cons from Real Users Pros 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) Cons 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.
Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Supported	Training Documentation Not Supported Webinars Not Supported Live Online Not Supported In Person Supported
Company Information GAMS Founded: 1987 United States www.gams.com	Company Information Scilab Enterprises www.scilab-enterprises.com
Alternatives Simcenter Compose Siemens	Alternatives Simcenter Compose Siemens
AMPL	MATLAB The MathWorks
Interactive Mathematics	MatDeck LabDeck
$Math AI$ Math AI	NLREG
DataMelt jWork.ORG View All	DataMelt jWork.ORG View All
Categories Statistical Analysis Supported	Categories Computer-Aided Engineering (CAE) Supported Statistical Analysis Supported
	Statistical Analysis Features Analytics Not Supported Association Discovery Supported Compliance Tracking Supported File Management Not Supported File Storage Supported Forecasting Not Supported Multivariate Analysis Not Supported Regression Analysis Not Supported Statistical Process Control Not Supported Statistical Simulation Supported Survival Analysis Not Supported Time Series Not Supported Visualization Supported
Integrations Artelys Knitro Supported Overleaf Not Supported Python Supported View All 2 Integrations	Integrations Artelys Knitro Not Supported Overleaf Supported Python Not Supported View All 1 Integration
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