JMP 7.0 (2007) added the Graph Builder—a drag-and-drop canvas for creating multi-layered visualizations instantly. It was JMP’s answer to Tableau (which launched in 2003), but with built-in statistics. JMP 8.0 (2009) brought Pro version (for SAS/STAT integration) and predictive modeling (random forests, neural nets).
JMP 9.0 (2011) introduced the Add-In Manager and made JSL scripting much more user-friendly. More importantly, it added Excel add-in support, letting analysts launch JMP directly from spreadsheets—a huge enterprise productivity win.
Verdict: JMP became a dashboarding and predictive analytics contender. Graph Builder alone made it worth the upgrade.
JMP (Jump) is a popular statistical discovery software package developed by SAS Institute. Here is a brief overview of the major version releases:
JMP 15.0 (2019) – 30th anniversary. Major highlights: Virtual Join (merge tables without physically copying data), Text Explorer improvements (latent class analysis for sentiment), and Semantic Zoom in Graph Builder (pan/zoom changes aggregation automatically). The Add-In Builder became simpler for citizen developers.
JMP 16.0 (2021) – New Graph Builder with more chart types (sankey, heatmap with dendrogram), Responsive GUI (resizing panels), and Formula editor with syntax highlighting.
Predictive modeling gained XGBoost and SHAP explanations for model interpretability. Also added Workflow Builder – like a visual macro recorder.
JMP 17.0 (2022) refined the Workflow Builder (now supports loops/branches) and added Graphlets (inline mini-graphs in data tables). SAS Integration became optional (JMP now stands more on its own without needing SAS on the backend).
Verdict: JMP 16–17 made a strong turn toward MLOps-lite and automated reporting. The Workflow Builder is fantastic for auditability.
Version 10 marked the introduction of the JMP Pro edition, creating a tiered product. Standard JMP for general analytics; JMP Pro for cross-validation, advanced modeling, and huge data.
Pro Features:
Standard Features:
JMP statistical software has evolved from a niche Macintosh tool into a comprehensive data analysis platform for Windows and Mac. Originally standing for " John’s Macintosh Project ," it was first released in October 1989.
Below is a chronological overview of JMP version history based on major release highlights:
Features continue to expand on the automated discovery and visualization capabilities seen in New in JMP 19 JMP 18 (2024):
Introduced as a powerful desktop-based "point-and-click" software for statistical data analysis with no programming required. JMP 14 (2018):
file management tool and the ability to use custom images as markers on graphs. JMP 13 (2016):
Focused on handling large data sets in memory and improved reporting/ease-of-use. JMP 12 (2014): Introduced the Modeling Utilities jmp version history
submenu and performance improvements for statistical analysis. JMP 11 (2014):
Added an Excel import wizard and advanced features for Design of Experiments (DOE). JMP 10 (2012):
Major improvements in data mining, predictive analytics, and automated model building. JMP 9 (2010): Rebuilt the main screen and added a new Degradation platform for reliability analysis. Key Organizational Milestones
John Sall is the primary architect and head of the R&D team. Corporate Structure: January 2021
, JMP Statistical Discovery, LLC became a wholly-owned subsidiary of SAS Institute system requirements for a particular version?
For exact build numbers and patch details, refer to SAS/JMP's official release notes.
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.
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. Verdict: JMP became a dashboarding and predictive analytics
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.
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 was first launched in 1989 as a product of SAS Institute. Over the decades, it has evolved from a Macintosh-only statistical tool into a multi-platform suite used for complex data exploration and predictive modeling. 🏛️ Origins and Early Growth
1989 (Version 1): Launched by SAS co-founder John Sall to provide a visual, interactive way to explore data on the Apple Macintosh.
Version 3.1.5: An early 1990s release that ran on "Classic" Mac OS (System 9).
Version 4: Introduced the JMP Scripting Language (JSL), allowing users to automate analysis and build custom applications. 🚀 Major Modern Milestones How to open data files from earlier versions?
The Evolution of JMP: A Comprehensive Version History
JMP, a statistical discovery software, has been a leading tool for data analysis and visualization since its inception in 1984. Over the years, JMP has undergone significant transformations, with each new version building upon the previous one to provide more advanced features and capabilities. In this article, we'll take a journey through the version history of JMP, highlighting key milestones and enhancements.
Early Years (1984-1990)
The first version of JMP, version 1.0, was released in 1984 by John Sall, a statistician at SAS Institute. Initially, JMP was designed to provide an interactive, graphical interface for statistical analysis, focusing on exploratory data analysis and visualization. The early versions of JMP were characterized by their simplicity and ease of use. JMP (Jump) is a popular statistical discovery software
The Rise of JMP (1990-2000)
The 1990s saw significant growth and development in JMP. The software became more widely adopted, and its user base expanded beyond SAS users.
Modern Era (2000-2010)
The 2000s saw JMP continue to evolve with a focus on usability, performance, and advanced analytics.
Recent Developments (2010-Present)
In recent years, JMP has continued to innovate and expand its capabilities, incorporating emerging technologies and trends.
Conclusion
The version history of JMP reflects the software's evolution from a simple, interactive statistical analysis tool to a comprehensive analytics platform. With each new version, JMP has built upon its strengths, incorporating emerging technologies and trends to stay ahead of the curve. As data analysis and visualization continue to play an increasingly important role in business and research, JMP remains a leading choice for professionals seeking to extract insights and knowledge from their data.
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.