Jenner

Jenner

Jenner Analytics
Scilab

Scilab

Scilab Enterprises
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About

Jenner is a SAS-compatible analytics platform. It runs the SAS programs an organisation already has - the DATA step, the macro language, PROC SQL and 230 documented procedures - without requiring a SAS license. It is a clean-room implementation of the SAS 9.4 language, written in Rust, and runs on Windows, macOS and Linux. Existing programs run as written rather than being ported to another language, which is usually the part that makes leaving SAS too expensive to start. Jenner runs in three places, billed the way each place works: - In your browser: a hosted JupyterLab workspace your team shares. Free tier, then arranged. - On your machine: a native app on your own hardware. Free, or 199 USD per year. - From your systems: programs executed over HTTP, for pipelines and agents. Free tier, then arranged. Every one of the 230 procedures has a published reference page, in 16 languages.

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 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

Organisations that already have SAS programs and need them to keep running without a SAS license: clinical research and pharmaceutical statistical programming (CDISC/SDTM), banking and insurance risk and actuarial teams, government statistical agencies, and university researchers.

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

No images available

Screenshots and Videos

Pricing

Free tier; Mac app $199/year
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

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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

Jenner Analytics
jenneranalytics.com

Company Information

Scilab Enterprises
www.scilab-enterprises.com

Alternatives

JupyterLab

JupyterLab

Jupyter

Alternatives

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

Overleaf Not Supported

Integrations

Overleaf Supported
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