Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
API Access
Has API
Screenshots View All
No images available
Integrations
Arize Phoenix
CSS
CodeSquire
Docker
Fosfor Decision Cloud
Google Cloud Deep Learning VM Image
HTML
Intel Open Edge Platform
Intel Tiber AI Cloud
Java
Integrations
Arize Phoenix
CSS
CodeSquire
Docker
Fosfor Decision Cloud
Google Cloud Deep Learning VM Image
HTML
Intel Open Edge Platform
Intel Tiber AI Cloud
Java
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
Jupyter
Founded
2014
Website
jupyter.org
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