Scilab Reviews & Ratings

Scilab

3.0 out of 5 stars

Ratings and Reviews 1 Rating

Total 3 out of 5 stars
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features 3 out of 5 stars
design 3 out of 5 stars
support 3 out of 5 stars

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What is Scilab?

Numerical analysis, often referred to as scientific computing, emphasizes methods for approximating solutions to various mathematical problems. Scilab offers a wide range of graphical functions that enable users to visualize, annotate, and export data, along with a multitude of options for crafting and customizing different plots and charts. Serving as a high-level programming language tailored for scientific applications, Scilab accelerates the prototyping of algorithms while reducing the complications associated with lower-level languages such as C and Fortran, where challenges like memory management and variable declarations can complicate workflows. In Scilab, intricate mathematical calculations can frequently be articulated in a handful of lines of code, while other programming languages may require much more extensive coding efforts. Moreover, Scilab comes equipped with advanced data structures like polynomials, matrices, and graphic handles, and it offers a user-friendly development environment that boosts productivity and simplifies usage for both researchers and engineers. Consequently, Scilab not only streamlines the scientific computing process but also broadens access to these tools for a larger audience, making complex computations more manageable. Furthermore, its extensive library of built-in functions enhances the capacity for users to tackle a variety of mathematical tasks effectively.

What is Jenner?

Jenner serves as an analytics platform that seamlessly integrates with SAS, enabling organizations to run their pre-existing SAS programs—including the DATA step, macro language, PROC SQL, and a total of 230 documented procedures—without requiring a SAS license. Built using Rust, this platform features a clean-room implementation of the SAS 9.4 language and is compatible with multiple operating systems, including Windows, macOS, and Linux. By allowing organizations to execute current programs without any modifications, Jenner significantly reduces the financial strain often associated with moving away from SAS. The platform is accessible in three distinct environments, each with its unique billing model: it can be utilized through a shared JupyterLab workspace online (beginning with a free tier followed by custom pricing), installed as a native application on personal devices (with options for free use or an annual fee of 199 USD), or operated via HTTP for pipelines and agents (also starting with a free tier and subsequent pricing arrangements). In addition, Jenner provides comprehensive reference documentation for all 230 procedures across 16 languages, enhancing accessibility for a wide range of users. This versatile strategy positions Jenner as an appealing solution for organizations aiming to maximize their existing SAS functionalities without the usual licensing expenses, offering a practical pathway to modern analytics. As such, it reflects a significant advancement in the realm of data analytics integration.

Media

Media

No images available

Integrations Supported

Overleaf

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Free tier; Mac app $199/year
Free Version

Supported Platforms

Windows
Mac
Linux

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Scilab Enterprises

Company Website

www.scilab-enterprises.com

Company Facts

Organization Name

Jenner Analytics

Company Website

jenneranalytics.com

Categories and Features

Statistical Analysis

Association Discovery
Compliance Tracking
File Storage
Statistical Simulation
Visualization

Categories and Features

Statistical Analysis

Not specified

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