Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

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

JupyterHub allows users to establish a multi-user environment that can spawn, manage, and proxy several instances of the individual Jupyter notebook server. Developed by Project Jupyter, JupyterHub is designed to cater to numerous users simultaneously. This platform can provide notebook servers for a variety of purposes, including educational environments for students, corporate data science teams, collaborative scientific research, or groups utilizing high-performance computing resources. It is important to note that JupyterHub does not officially support Windows operating systems. While it might be possible to run JupyterHub on Windows by utilizing compatible Spawners and Authenticators, the default configurations are not designed for this platform. Furthermore, any bugs reported on Windows will not be addressed, and the testing framework does not operate on Windows systems. Although minor patches to resolve basic Windows compatibility issues may be considered, they are rare. For users on Windows, it is advisable to run JupyterHub within a Docker container or a Linux virtual machine to ensure optimal performance and compatibility. This approach not only enhances functionality but also simplifies the installation process for Windows users.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

No images available

Screenshots View All

Integrations

Azure Marketplace No 
Cleanlab No 
Coiled No 
DataOps.live No 
JetBrains DataSpell No 
Jupyter Notebook No 
JupyterLab No 
NeevCloud No 
OpenHexa No 
Quantinuum Nexus No 
Timbr.ai No 
Train in Data No 
Vast.ai No 
Wizata No 

Integrations

Azure Marketplace Yes 
Cleanlab Yes 
Coiled Yes 
DataOps.live Yes 
JetBrains DataSpell Yes 
Jupyter Notebook Yes 
JupyterLab Yes 
NeevCloud Yes 
OpenHexa Yes 
Quantinuum Nexus Yes 
Timbr.ai Yes 
Train in Data Yes 
Vast.ai Yes 
Wizata Yes 

Pricing Details

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

Pricing Details

No price information available.
Free Trial No 
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 No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux Yes 
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 No 

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

JupyterHub

Founded

2014

Website

github.com/jupyterhub/jupyterhub

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

Alternatives

Alternatives

JupyterLab Reviews

JupyterLab

Jupyter
Quantinuum Nexus Reviews

Quantinuum Nexus

Quantinuum