Scilab

Scilab

Scilab Enterprises
Visdom

Visdom

Meta
+
+

Related Products

  • TIMi
    68 Ratings
    Visit Website
  • MicroStation
    593 Ratings
    Visit Website
  • Azore CFD
    26 Ratings
    Visit Website
  • TrustInSoft Analyzer
    6 Ratings
    Visit Website
  • IONOS Cloud GPU Servers
    45,340 Ratings
    Visit Website
  • DbVisualizer
    593 Ratings
    Visit Website
  • ActCAD Software
    403 Ratings
    Visit Website
  • Rocket z/Assure VAP
    1 Rating
    Visit Website
  • Tremendous
    1,886 Ratings
    Visit Website
  • Planview AdaptiveWork
    718 Ratings
    Visit Website

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.

About

Visdom is a visualization tool that generates rich visualizations of live data to help researchers and developers stay on top of their scientific experiments that are run on remote servers. Visualizations in Visdom can be viewed in browsers and easily shared with others. Visdom provides an interactive visualization tool that supports scientific experimentation. Visualizations of plots, images, and text can be easily broadcast for yourself and collaborators. The visualization space can be organized through the Visdom UI or programmatically, allowing researchers and developers to inspect experiment results across multiple projects and debug code. Features like windows, environments, states, filters, and views also provide multiple ways to view and organize important experimental data. Build and customize visualizations for your projects.

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

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Statistical Analysis solution for companies

Audience

Researchers and developers interested in a tool to visualize plots, images, and text

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 Supported

Reviews/Ratings

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

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

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

Training

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

Company Information

Scilab Enterprises
www.scilab-enterprises.com

Company Information

Meta
United States
ai.meta.com/tools/visdom/

Alternatives

Alternatives

TensorBoard

TensorBoard

Tensorflow
MATLAB

MATLAB

The MathWorks
MatDeck

MatDeck

LabDeck
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

GitHub Not Supported
Overleaf Supported
Python Not Supported

Integrations

GitHub Supported
Overleaf Not Supported
Python Supported
Claim Scilab and update features and information
Claim Scilab and update features and information
Claim Visdom and update features and information
Claim Visdom and update features and information