MapleSim vs. Scilab Comparison


MapleSim Waterloo Maple	Scilab Scilab Enterprises	+	+
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About From digital twins for virtual commissioning to system-level models for complex engineering design projects, MapleSim is an advanced modeling tool that helps you reduce development time, lower costs, and diagnose real-world performance issues. Remove vibrations with better control code, not hardware upgrades. Diagnose root-cause performance issues with detailed simulation results. Validate new design performance before physical prototyping. MapleSim is an advanced system-level modeling and simulation tool that applies modern techniques to dramatically reduce model development time, provide greater insight into system behavior, and produce fast, high-fidelity simulations. Scale and connect as the needs of your simulations grow more complex. Take your designs further with our flexible modeling language. Combine components across different domains in a virtual prototype. Solve tough machine performance problems.	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 Supported Mac Supported Linux Not Supported Cloud Not 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 Engineering teams and companies in search of an engineering TeamOps solution to improve processes and develop better habits	Audience Statistical Analysis solution for companies
Support Phone Support Supported 24/7 Live Support Not Supported Online Not 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 No information available. Free Version Not 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 Supported Live Online Supported In Person Supported	Training Documentation Not Supported Webinars Not Supported Live Online Not Supported In Person Supported
Company Information Waterloo Maple Founded: 1988 Canada www.maplesoft.com/products/maplesim/	Company Information Scilab Enterprises www.scilab-enterprises.com
Alternatives SOLIDWORKS Simulation SolidWorks	Alternatives Simcenter Compose Siemens
Abaqus Dassault Systèmes	MATLAB The MathWorks
CAEmate	MatDeck LabDeck
SIMULIA Dassault Systèmes	NLREG
Ansys Discovery Ansys View All	CoPlot CoHort Software View All
Categories Computer-Aided Engineering (CAE) Supported Digital Twin Supported Simulation Supported	Categories Computer-Aided Engineering (CAE) Supported Statistical Analysis Supported
Show More Features Simulation Features 1D Simulation Supported 3D Modeling Supported 3D Simulation Supported Agent-Based Modeling Supported Continuous Modeling Supported Design Analysis Supported Direct Manipulation Not Supported Discrete Event Modeling Not Supported Dynamic Modeling Supported Graphical Modeling Not Supported Industry Specific Database Supported Monte Carlo Simulation Supported Motion Modeling Supported Presentation Tools Supported Stochastic Modeling Not Supported Turbulence Modeling Supported	Show More Features 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 Overleaf Not Supported	Integrations Overleaf Supported View All 1 Integration
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