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Description
Jenner is an analytics platform that is compatible with SAS, allowing organizations to execute their existing SAS programs—including the DATA step, macro language, PROC SQL, and 230 documented procedures—without the need for a SAS license. This platform offers a clean-room implementation of the SAS 9.4 language, developed using Rust, and is compatible with Windows, macOS, and Linux systems. By enabling current programs to run without modification, it alleviates the traditional financial burden of transitioning away from SAS. Jenner is available in three different environments, each with its own billing structure: it can be accessed via a shared JupyterLab workspace in the browser (with a free tier followed by arranged pricing), installed as a native application on personal hardware (available for free or for an annual fee of 199 USD), or operated via HTTP for pipelines and agents (also starting with a free tier and arranged pricing thereafter). Comprehensive reference pages for all 230 procedures are provided in 16 languages, ensuring accessibility for a diverse user base. This multi-faceted approach makes Jenner an attractive option for organizations looking to leverage their existing SAS capabilities without incurring the typical costs associated with licensing.
Description
Numerical analysis, also known as scientific computing, focuses on the study of techniques for approximating solutions to mathematical challenges. Scilab features an array of graphical functions that allow users to visualize, annotate, and export data, as well as numerous options for creating and personalizing diverse plots and charts. As a high-level programming language designed for scientific applications, Scilab facilitates rapid algorithm prototyping while alleviating the burdens associated with lower-level languages like C and Fortran, where issues like memory management and variable declarations can complicate the process. With Scilab, complex mathematical computations can often be expressed in just a few lines of code, whereas other programming languages might necessitate significantly more extensive coding. Additionally, Scilab is equipped with sophisticated data structures, including polynomials, matrices, and graphic handles, and it provides a user-friendly development environment that enhances productivity and ease of use for researchers and engineers. Overall, Scilab's capabilities streamline the process of scientific computing and make it accessible to a wider audience.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Overleaf
Pricing Details
Free tier; Mac app $199/year
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Jenner Analytics
Website
jenneranalytics.com
Vendor Details
Company Name
Scilab Enterprises
Website
www.scilab-enterprises.com
Product Features
Statistical Analysis
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization
Product Features
Computer-Aided Engineering (CAE)
CAD/CAM Compatibility
Finite Element Analysis
Fluid Dynamics
Import / Export Files
Integrated 3D Modeling
Manufacturing Process Simulation
Mechanical Event Simulation
Multibody Dynamics
Thermal Analysis
Statistical Analysis
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization