Searchable JMP platforms, advanced Design of Experiments (DOE) trackers, and robust survival/reliability platforms. Modern Integration: JMP 18 and Beyond (2024–Present)
Embedded a native, isolated Python environment directly inside JMP. Users can now run Python libraries seamlessly alongside JSL, without complex setup configuration.
Added support for Python integration and drastically enhanced deployment capabilities, allowing teams to share analytics seamlessly via JMP Live.
Added connection paths to external open-source platforms and cloud data storage. jmp version history
Developed by John Sall and a team at SAS Institute, JMP bridged the gap between complex mathematical computation and visual, interactive data exploration. Today, the software is used globally by scientists, engineers, and researchers to drive quality control, product development, and predictive modeling without requiring complex programming code.
These versions marked a significant expansion, making JMP a true cross-platform application, fully supporting Windows alongside its traditional Macintosh user base. These versions saw improvements in data visualization techniques.
The first version of JMP was the brainchild of John Sall, a co-founder of the SAS Institute. The name "JMP" was short for "John's Macintosh Program," a nod to its origin story and its original platform. JMP 1.0 was a true pioneer, with a launch that feels almost archaic today. It shipped on two 3.5-inch floppy disks and came with a comprehensive 456-page printed manual. Its core philosophy was to take advantage of the Macintosh's graphical user interface to create a more visual and interactive statistical environment, moving beyond the command-line interface typical of the era. Today, the software is used globally by scientists,
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.
Launched the JMP Scripting Language (JSL), allowing users to automate workflows and build custom applications.
The release of Version 10 was historic because it marked the bifurcation of the product line. SAS introduced , an advanced tier designed for high-performance computing, predictive modeling, and cross-validation techniques. While standard JMP continued to focus on core visual analytics, JMP Pro gained capabilities for handling sparse data, building decision trees, and utilizing advanced boot-strapping methods. JMP 11 & 12 (2013–2015) Introduced at the Macworld Expo
Introduced the "Graph Builder" makeover. It added better support for contour plots and revamped the data import wizard for complex formats. The Current Era (16.0 to Present)
: Focused on Six Sigma methodologies, introducing advanced reliability modeling, life testing analytics, and specialized control charts.
Added contour plots, parallel plots, and smoother data connectors.
JMP (pronounced "jump") is a statistical software suite developed by the . It was designed for interactive, visual, and exploratory data analysis.
Introduced at the Macworld Expo, this release doubled the application's capabilities, adding major interactive graphics, while still fitting on a single floppy disk. 🖥️ Cross-Platform Expansion (1994–2000)