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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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

Project Jupyter is dedicated to the creation of open-source tools, standards, and services that facilitate interactive computing in numerous programming languages. At the heart of this initiative is JupyterLab, a web-based interactive development environment designed for Jupyter notebooks, coding, and data manipulation. JupyterLab offers remarkable flexibility, allowing users to customize and organize the interface to cater to various workflows in fields such as data science, scientific research, and machine learning. Its extensibility and modular nature enable developers to create plugins that introduce new features and seamlessly integrate with existing components. The Jupyter Notebook serves as an open-source web application enabling users to produce and share documents that incorporate live code, mathematical equations, visualizations, and descriptive text. Common applications of Jupyter include data cleaning and transformation, numerical simulations, statistical analysis, data visualization, and machine learning, among others. Supporting over 40 programming languages—including popular ones like Python, R, Julia, and Scala—Jupyter continues to be a valuable resource for researchers and developers alike, fostering collaborative and innovative approaches to computing challenges.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

No images available

Screenshots View All

Integrations

AWS Marketplace No 
Azure Marketplace No 
CSS No 
Docker No 
Illumina Connected Analytics No 
Intel Open Edge Platform No 
Intel Tiber AI Cloud No 
JetBrains DataSpell No 
Julia No 
Jupyter Notebook No 
Octave No 
Pieces No 
Python No 
R No 
Scheme No 
Thunder Compute No 
Zed No 
esDynamic No 
neptune.ai No 

Integrations

AWS Marketplace Yes 
Azure Marketplace Yes 
CSS Yes 
Docker Yes 
Illumina Connected Analytics Yes 
Intel Open Edge Platform Yes 
Intel Tiber AI Cloud Yes 
JetBrains DataSpell Yes 
Julia Yes 
Jupyter Notebook Yes 
Octave Yes 
Pieces Yes 
Python Yes 
R Yes 
Scheme Yes 
Thunder Compute Yes 
Zed Yes 
esDynamic Yes 
neptune.ai Yes 

Pricing Details

Free tier; Mac app $199/year
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Jenner Analytics

Website

jenneranalytics.com

Vendor Details

Company Name

Jupyter

Founded

2014

Website

jupyter.org

Product Features

Statistical Analysis

Analytics No 
Association Discovery No 
Compliance Tracking No 
File Management No 
File Storage No 
Forecasting No 
Multivariate Analysis No 
Regression Analysis No 
Statistical Process Control No 
Statistical Simulation No 
Survival Analysis No 
Time Series No 
Visualization No 

Product Features

IDE

Code Completion No 
Compiler No 
Cross Platform Support No 
Debugger No 
Drag and Drop UI No 
Integrations and Plugins No 
Multi Language Support No 
Project Management No 
Text Editor / Code Editor No 

Alternatives

Alternatives

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