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
In 2007, JMP 7.0 was launched, bringing advanced analytics capabilities to the software. This version included new features, such as nonlinear regression, generalized linear mixed models, and enhanced simulation capabilities.
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.
Structural Equation Modeling (SEM), enhanced support for multi-factor experiments, and better handling of massive, wide datasets. JMP 16 (2021) jmp version history
Enhanced Python integration, model screening dashboards, and native support for Apple Silicon (M1 chips). The Independence and Subscription Era (2022–Present) JMP 17 (2022)
In 1998 JMP learned to play faster. It added scripting, and with it a kind of choreography. Ana learned to write JSL in the quiet hours between experiments. Scripts let her automate the tedious—import, clean, correlate—and freed her imagination to wander: what if she could test a hundred models at once? What if she could animate a surface plot to watch a parameter evolve? She wrote macros that became small rituals, passed to grad students like recipes.
submenu and performance improvements for statistical analysis. JMP 11 (2014): Version 7 (2007): Began a deep integration with
With each iteration, the visualization language grew richer—smarter defaults, interactive brushing, linked displays that let her select a point on a box plot and see the microscope image, the subject ID, the notes from the research nurse. The software became empathetic to workflows: it remembered past choices, suggested sensible analyses, nudged users away from p-hacking with clearer diagnostics. A version introduced visual analytics that read like a conversation: "Try this," it seemed to say, "then try that."
Introduction of the JMP Scripting Language (JSL), allowing users to automate workflows and build custom applications. Added neural networks, time series analysis, and partition trees. JMP 5 (2002)
In the beginning, there was the mainframe. Data lived in cold, blinking rooms, and to speak with it, you had to learn the ancient tongues of SAS, Fortran, or JCL. Graphics were an afterthought, a line of asterisks printed on green-bar paper. This version also marked the beginning of JMP's
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Choice modeling, analytic column formulas, and visual statistical control charts. JMP 9 (2010)
For exact build numbers and patch details, refer to SAS/JMP's official release notes.
Cross-validation, exact statistics, and advanced formulation tools for chemical and manufacturing applications. Modern Visual Discovery and Big Data (2013–2021) JMP 11 (2013)