Scilab

Scilab

Scilab Enterprises
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About

An extremely easy-to-use scoring system. A tool created by scoring experts for small and medium size credit organizations. Exactly what you need for accurate real-time scoring (and only for scoring) without obsolete hard-to-learn features. The best cost to value ratio on the market. Up and running within a few days. Easy to use due to its wizard-based scorecard modeling interface. Monitor and validate scorecards using a set of pre-defined reports. Reject Inference with automated and manual inference methods. Automated binning based on chi-square and manual binning based on WOE. Automatic and manual sampling. Graphical statistics. Portfolio data filtering, sorting and re-assignment to “Good” and “Bad”. Transformation of numeric variables into categorical ones. Correlation coefficients (correlation coefficient is provided for each pair of variables for the dataset before and after the binning procedure).

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 Not 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

Companies interested in an easy-to-use scoring system solution

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

Screenshots and Videos

Pricing

$9950 one-time payment
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

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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 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

Plug&Score
Founded: 2005
Netherlands
plug-n-score.com

Company Information

Scilab Enterprises
www.scilab-enterprises.com

Alternatives

Alternatives

Predictive Suite

Predictive Suite

Predictive Dynamix
MATLAB

MATLAB

The MathWorks
MatDeck

MatDeck

LabDeck
Oriana

Oriana

Kovach Computing Services
CoPlot

CoPlot

CoHort Software

Categories

Categories

Statistical Analysis Features

Analytics Supported
Association Discovery Supported
Compliance Tracking Supported
File Management Not Supported
File Storage Supported
Forecasting Supported
Multivariate Analysis Supported
Regression Analysis Supported
Statistical Process Control Supported
Statistical Simulation Supported
Survival Analysis Not Supported
Time Series Not Supported
Visualization 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

Overleaf Not Supported

Integrations

Overleaf Supported
Claim Plug&Score Modeler and update features and information
Claim Plug&Score Modeler and update features and information
Claim Scilab and update features and information
Claim Scilab and update features and information