Maple

Maple

Maplesoft
Scilab

Scilab

Scilab Enterprises
+
+

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About

Maple is a software tool that combines a powerful mathematics engine with an interface that makes it easy to manage your calculations, so you can treat them like the valuable assets they are. Maple can handle all your mathematical needs, from performing simple calculations to advanced computations, visualizations, data analysis, and algorithm development. Maple provides an environment that helps you maximize the value of your calculation efforts. With Maple, you can easily validate, document, retain, reuse, and modify your calculations, reducing risk while saving time and effort in both current and future projects. Retain all the mathematics that went into your product in a single place, not scattered over notebooks, spreadsheets, napkins, and the project teams’ brains. Always have a record of where “that” number came from, even long after the project is over.

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
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Engineers searching for a calculation management solution

Audience

Statistical Analysis solution for companies

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 3.0 / 5
ease 3.0 / 5
features 3.0 / 5
design 3.0 / 5
support 3.0 / 5

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Maplesoft
Founded: 1988
Canada
www.maplesoft.com/products/maple/professional/

Company Information

Scilab Enterprises
www.scilab-enterprises.com

Alternatives

Alternatives

Maple Flow

Maple Flow

Maplesoft
MATLAB

MATLAB

The MathWorks
MatDeck

MatDeck

LabDeck
CoPlot

CoPlot

CoHort Software

Categories

Categories

Statistical Analysis Features

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

Integrations

Overleaf

Integrations

Overleaf
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