Scilab

Scilab

Scilab Enterprises
+
+

Related Products

  • IONOS Cloud GPU Servers
    45,340 Ratings
    Visit Website
  • pCloud Business
    189 Ratings
    Visit Website
  • SciSure
    311 Ratings
    Visit Website
  • JDisc Discovery
    30 Ratings
    Visit Website
  • Google Compute Engine
    1,169 Ratings
    Visit Website
  • Admin By Request Endpoint Privilege Management
    107 Ratings
    Visit Website
  • OptiSigns
    8,462 Ratings
    Visit Website
  • Airlock Digital
    35 Ratings
    Visit Website
  • Securden Endpoint Privilege Manager
    7 Ratings
    Visit Website
  • JS7 JobScheduler
    1 Rating
    Visit Website

About

Scientific Linux is a Fermilab sponsored project. Our primary user base is within the High Energy and High Intensity Physics community. However, our users come from a wide variety of industries with various use cases all over the globe, and sometimes off of it! Scientific Linux is a rebuild of Red Hat Enterprise Linux (property of Red Hat Inc NYSE:RHT). We informally call them “The Upstream Vendor” or “TUV”. Our references to TUV are intended to make it clear that Scientific Linux is in no way affiliated, supported, or sanctioned by upstream. By not using their name we hope to make this distinction as clear as possible. Provides a stable, scalable, and extensible operating system for scientific computing. Supports scientific research by providing methods and procedures for enabling the integration of scientific applications with the operating environment. Use the free exchange of ideas, designs, and implementations to prepare a computing platform for the next generation of computing.

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 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

Researchers, developers and users interested in a scalable and extensible operating system for scientific computing

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

No information available.
Free Version Not 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:

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

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

Scientific Linux
Founded: 1991
scientificlinux.org/about/

Company Information

Scilab Enterprises
www.scilab-enterprises.com

Alternatives

Alternatives

Claude Science

Claude Science

Anthropic
MATLAB

MATLAB

The MathWorks
MatDeck

MatDeck

LabDeck
CoPlot

CoPlot

CoHort Software

Categories

Operating Systems Supported

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

Ottomatik Supported
Overleaf Not Supported
Pinguzo Supported

Integrations

Ottomatik Not Supported
Overleaf Supported
Pinguzo Not Supported
Claim Scientific Linux and update features and information
Claim Scientific Linux and update features and information
Claim Scilab and update features and information
Claim Scilab and update features and information