Jmp Version History -
The inaugural release of JMP was exclusive to Macintosh System 6 and required 1 MB of RAM—a staggering amount for the time. It was the first desktop software to seamlessly link data tables, graphs, and statistical reports.
JMP (pronounced "jump") has spent over three decades transforming how scientists, engineers, and data analysts interact with data. Originally developed by John Sall at SAS, JMP revolutionized statistical software by introducing a dynamic, graphical user interface (GUI) that linked data tables directly to interactive charts.
Tailored for manufacturing scale, offering unmatched speed in processing millions of rows.
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.
A major milestone where JMP expanded beyond Apple, introducing support for Microsoft Windows. Expansion and Modernization: 2002 – 2014 jmp version history
focused on quality engineering: Control Charts and Measurement Systems Analysis (MSA) became first-class citizens. JMP 6.0 (2005) introduced the JMP Scripting Language (JSL) —a simple but powerful automation tool that let advanced users build custom interfaces and automate workflows. This turned JMP from a point-and-click tool into a development platform.
📈 Modern AI, Python, & Cloud Integration (2021–Present)
Cross-validation, exact statistical tests, partial least squares (PLS), and advanced data partitioning. JMP 11 & JMP Pro 11 (2013) Focus Area: Speed, reliability, and Big Data.
JMP 13.0, released in 2015, focused on improving the user experience. This version introduced a new, more intuitive interface, with features like interactive data filtering, enhanced graph customization, and a more comprehensive help system. The inaugural release of JMP was exclusive to
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Verdict: JMP became a dashboarding and predictive analytics contender. Graph Builder alone made it worth the upgrade.
launched exclusively for Macintosh. Developed by John Sall (co-founder of SAS Institute) and a small team, it was a radical idea: a statistical package built from the ground up for graphical user interfaces. The hallmark feature was dynamic brushing —clicking a point in a scatterplot highlighted it in all other open graphs. For the era, this was magic.
As data sets grew larger, JMP adapted. Version 4 focused on performance and better data management. It enhanced the graphical engine, introducing more sophisticated contour plots and surface plots, making it a favorite for scientists and engineers visualizing complex multivariate data. Originally developed by John Sall at SAS, JMP
Map shapes for geographic data visualizations and advanced reliability growth modeling. JMP 10 & JMP Pro 10 (2012)
is a fan favorite. It added Functional Data Explorer (for curves, spectra, profiles), Graph Spawning (right-click any graph to get related views), and Precision Binning for histograms. The Project container finally allowed organizing multiple windows into one file.
Verdict: JMP 16–17 made a strong turn toward MLOps-lite and automated reporting. The Workflow Builder is fantastic for auditability.
