R

R

The R Foundation
Scilab

Scilab

Scilab Enterprises
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About

R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity. One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed.

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 Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook 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

DevOps teams in need of a statistical computing and graphics solution

Audience

Statistical Analysis solution for companies

Support

Phone Support Not 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

Free
Free Version Supported
Free Trial Not 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:

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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 Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Not Supported
Webinars Not Supported
Live Online Not Supported
In Person Supported

Company Information

The R Foundation
www.r-project.org

Company Information

Scilab Enterprises
www.scilab-enterprises.com

Alternatives

Alternatives

ndCurveMaster

ndCurveMaster

SigmaLab Tomas Cepowski
MATLAB

MATLAB

The MathWorks
MatDeck

MatDeck

LabDeck
DataMelt

DataMelt

jWork.ORG
CoPlot

CoPlot

CoHort Software

Categories

Categories

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

Aqua Data Studio Supported
Atom Supported
ChatGPT Pro Supported
Claude Fable 5.1 Supported
Claude Opus 3 Supported
CodeBanana Supported
Codestral Mamba Supported
DeepSeek Coder Supported
ERNIE Bot Supported
ERNIE X1.1 Supported
GPT-6 Luna Supported
Gemini Supported
Gemini 1.5 Flash Supported
Gemini 2.0 Supported
Gemini 2.0 Flash-Lite Supported
Grok 4 Supported
Grok 4.8 Supported
Meteomatics Supported
Opengrep Supported
bolt.diy Supported

Integrations

Aqua Data Studio Not Supported
Atom Not Supported
ChatGPT Pro Not Supported
Claude Fable 5.1 Not Supported
Claude Opus 3 Not Supported
CodeBanana Not Supported
Codestral Mamba Not Supported
DeepSeek Coder Not Supported
ERNIE Bot Not Supported
ERNIE X1.1 Not Supported
GPT-6 Luna Not Supported
Gemini Not Supported
Gemini 1.5 Flash Not Supported
Gemini 2.0 Not Supported
Gemini 2.0 Flash-Lite Not Supported
Grok 4 Not Supported
Grok 4.8 Not Supported
Meteomatics Not Supported
Opengrep Not Supported
bolt.diy Not Supported
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