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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.

What is GraphPad InStat?

Numerous statistical software tools are developed by statisticians primarily for their peers, resulting in applications that, while feature-rich, can overwhelm scientists due to their intricate manuals, specialized jargon, and high costs. In contrast, GraphPad InStat is uniquely designed by a scientist for fellow researchers, making it an exception in the field. This intuitive software enables users, even those with minimal statistical background, to analyze their data quickly and effortlessly. InStat offers a seamless statistical analysis experience, guiding users through the entire evaluation process step by step. Within a brief period, you will gain competence in using InStat without needing to pinpoint the exact statistical test suitable for your data. The program aids in test selection by asking tailored questions about your dataset, which ensures a customized approach to analysis. Should any questions arise, the extensive help screens provide clear explanations of statistical concepts in layman's terms. InStat is designed to accommodate users at all levels of statistical expertise, delivering results in simple language while reducing the use of complex jargon. Additionally, the help screens present a thorough explanation of how each statistical test is applied, rendering it an essential tool for researchers. The straightforward nature of InStat not only demystifies statistical analysis but also enhances its accessibility and effectiveness for all users, regardless of their prior experience. Thus, InStat serves as a bridge between complex statistical methods and the diverse community of researchers.

Media

No images available

Media

Integrations Supported

Integrations Supported

Laby

API Availability

API Availability

Pricing Information

Free tier; Mac app $199/year
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Supported Platforms

Windows
Mac

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

Jenner Analytics

Company Website

jenneranalytics.com

Company Facts

Organization Name

GraphPad Software

Company Website

www.graphpad.com/scientific-software/instat/

Categories and Features

Statistical Analysis

Not specified

Categories and Features

Graphing

Not specified

Statistical Analysis

Association Discovery
Compliance Tracking
File Management
File Storage
Regression Analysis
Statistical Simulation
Survival Analysis

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