JMP (Jump) is a popular statistical discovery software package developed by SAS Institute. Here is a brief overview of the major version releases:
While SAS has not officially announced JMP 19 as of this writing, the roadmap likely includes:
JMP 10.0 (2012) focused on in-memory performance and added Formula Depot for reusable calculations. The Query Builder allowed SQL access without leaving the interface.
JMP 11.0 (2013) made a bold move: Multiple file import (drag and drop dozens of CSVs) and Interactive HTML5 output—graphs that remained dynamic in a web browser. This was rare at the time.
JMP 12.0 (2015) brought Recode (a visual column recoding tool) and DOE enhancements like definitive screening designs. The Pro version added boosted trees and cross-validation for serious modelers.
Verdict: JMP was now handling millions of rows effortlessly and outputting reports that non-users could explore. Big data-friendly, yet still point-and-click.
The history of JMP is not just a story of software updates; it is a history of shifting paradigms in data science. From John Sall’s Macintosh vision in 1989 to the modern AI-assisted JMP 18, the software has consistently prioritized visual discovery over syntax memorization.
Today, JMP is used everywhere from NASA (for rocket engine test data) to Procter & Gamble (for detergent formulation) to the Mayo Clinic (for clinical trial analysis). As data grows larger and models grow more complex, JMP’s unique value remains unchanged: a tool that lets you see what the data are trying to say.
Whether you are a die-hard fan of JMP 4.0 still running on Windows XP or a data scientist using JMP Pro 18 with Python, one thing is certain: the jump through version history is far from over.
The Evolution of JMP: A Comprehensive Look at the Version History
JMP, short for Jump, is a popular statistical discovery software package developed by SAS Institute. Since its inception in 1984, JMP has undergone significant transformations, evolving from a simple calculator to a comprehensive data analysis and visualization tool. In this article, we'll take a journey through the JMP version history, highlighting key milestones, features, and improvements that have shaped the software into what it is today. jmp version history
The Early Days: JMP 1.0 (1984)
The first version of JMP, version 1.0, was released in 1984 by John Sall, a statistician at SAS Institute. Initially, JMP was designed as a simple calculator for statistical analysis, with a focus on interactive and visual data exploration. The software was first introduced on an Apple Macintosh computer, taking advantage of the graphical user interface (GUI) and mouse navigation.
JMP 2.0 and 3.0 (1985-1988)
In 1985, JMP 2.0 was released, introducing new features such as data manipulation, graphing, and basic statistical analysis. This version also marked the beginning of JMP's expansion to other platforms, including MS-DOS and Unix. JMP 3.0, released in 1988, further enhanced the software's capabilities, adding support for scripting and automation.
The Windows Era: JMP 4.0 and 5.0 (1992-1997)
The release of JMP 4.0 in 1992 marked a significant milestone, as it introduced a native Windows interface, making JMP more accessible to a broader audience. This version also featured improved data visualization, including 3D plots and enhanced graphing capabilities. JMP 5.0, released in 1997, built upon these advancements, adding more statistical methods, data manipulation tools, and a revamped user interface.
The Modern Era: JMP 6.0 and 7.0 (2002-2007)
JMP 6.0, released in 2002, was a major upgrade that introduced a new user interface, improved performance, and enhanced data visualization capabilities. This version also marked the beginning of JMP's integration with other SAS products, enabling seamless data exchange and workflow integration. JMP 7.0, released in 2007, continued this trend, adding support for scripting, automation, and more advanced statistical techniques.
The Current Generation: JMP 8.0 and Beyond (2009-Present)
In 2009, JMP 8.0 was released, featuring a revamped user interface, improved data manipulation, and enhanced visualization capabilities. This version also introduced JMP Graph Builder, a powerful tool for creating interactive, web-based visualizations. Since then, JMP has continued to evolve with regular releases, each bringing new features, improvements, and enhancements. JMP Version History JMP (Jump) is a popular
Some notable releases include:
The Future of JMP
As data analysis and visualization continue to evolve, JMP remains committed to providing a powerful, intuitive, and user-friendly platform for data exploration and discovery. With each new release, JMP continues to incorporate emerging trends, technologies, and methodologies, ensuring that users have access to the latest tools and techniques.
Some areas of focus for future JMP releases include:
Conclusion
The JMP version history is a testament to the software's evolution and commitment to providing a comprehensive data analysis and visualization platform. From its humble beginnings as a simple calculator to its current status as a leading data science tool, JMP has come a long way. As the data landscape continues to shift, JMP remains poised to adapt, innovate, and lead the way in data discovery and exploration.
JMP (Statistical Discovery Software) has evolved from a niche Macintosh tool in 1989 into a robust multi-platform analytics suite
. Below is the detailed version history and significant milestones. Wiley Interdisciplinary Reviews Early Foundation (1989–1999) Version 1 (1989):
Launched in October for Apple Macintosh, focusing on graphical interactivity and linking statistics with visual data. Version 3.2.2 (1995): First release to support the Windows operating system. Version 4 (2000):
Introduced more flexible graph modification options and improved data journaling features. Wiley Interdisciplinary Reviews Expansion & Integration (2002–2010) Version 5 (2005): Added advanced data mining tools like Decision Trees Neural Nets . This version also briefly supported Linux. Version 7 (2007): Began a deep integration with Full Cloud Native: While JMP Live exists, a
, allowing users to write SAS code and retrieve server data directly within JMP. It also introduced bubble plots. Version 8 (2009): 64-bit support for macOS and a drag-and-drop interface for graph building. Version 9 (2010): Integrated with the R programming language
and added a dedicated Excel add-in. The main interface was rebuilt, and the Degradation platform was launched. Modern Analytics Era (2015–2022) Version 12 (2015):
Focused on reproducibility with enhanced release notes and JSL compatibility. Version 14 & 15:
Introduced modern data visualization and streamlined modeling workflows. Version 17 (2022): Key features included the Workflow Builder for point-and-click automation, (Design of Experiments), and Sample Size Explorers. JMP User Community Current Generations (2024–Present) Release Notes for JMP 18.1.1
Introduction
JMP is a statistical discovery software package developed by SAS Institute. The software has a long history of providing data visualization, statistical analysis, and data mining capabilities to users. This report provides an overview of the major releases of JMP, highlighting key features and enhancements.
Early Versions (1980s-1990s)
Major Releases (2000s-2010s)
Recent Releases (2010s-present)
Current Version
Conclusion
JMP has a rich history of providing data visualization, statistical analysis, and data mining capabilities to users. From its early versions to the current release, JMP has continued to evolve and improve, adding new features and enhancements to support the needs of data analysts and scientists.