This era introduced significant improvements in experimental design (DOE) and advanced predictive modeling, setting the stage for more complex analysis.
The latest major iteration continues the trend of integration and AI assistance. With a focus on "Auto-recode" for cleaning messy data and enhanced AI/ML platforms, JMP 18 ensures that while the software remains rooted in statistics, it is ready for the future of automated analytics.
Focused on reproducibility with enhanced release notes and JSL compatibility. Version 14 & 15:
Enhanced multi-file import capability, advanced peak fitting for analytical chemistry, and streamlined cloud-based collaborative sharing.
JMP statistical software has transformed how data analysts, scientists, and engineers visualize and analyze data. Developed by SAS, JMP (pronounced "jump") pioneered dynamic data visualization. The Origins: JMP 1 to JMP 3 (1989–1994) JMP 1 (1989) : Macintosh exclusive. Focus : Visual data exploration. Core : Linked graphics with spreadsheets. Impact : Introduced interactive data brushing. JMP 2 (1991) Expansion : Added design of experiments (DOE). Feature : Basic survival analysis tools. Engine : Enhanced statistical computing power. JMP 3 (1994) Milestone : First Microsoft Windows version. Interface : Unified cross-platform user experience. Tools : Expanded multivariate analysis capabilities.
JMP reached 32-bit Linux in 2003, followed by a milestone 64-bit release in 2006 (Version 6.1).
Years later, in a room lined with framed degrees and faded conference badges, Ana watched a student place a thumb on a tablet and spin a 3-D plot with a fingertip—something she never would have imagined in 1991. The software had become lighter, faster, and in some ways kinder; it welcomed non-experts and guided curiosity. But when she opened an archive of old projects, the file headers still carried version stamps like fingerprints: JMP 1.2, JMP 3.5, JMP 7.0, JMP 15.2. Those numbers marked time: experiments run, hypotheses tested, late nights turned into conclusions.
Added step-by-step guidance wizards for complex statistical procedures. JMP 6 (2005)
Released during COVID-19 remote work, JMP 16 focused on collaboration and workflow documentation. The biggest star was .
. It focused on interactive graphics and Design of Experiments (DOE), quickly becoming a favorite for semiconductor manufacturers. JMP 2.0 (1991):
Survival analysis, business graphics improvements, and deeper integration with SAS data formats. Establishing the Foundations (1997–2005) JMP 4 (2000)
The 2000s saw JMP continue to evolve with a focus on usability, performance, and advanced analytics.
Two years after its initial release, JMP 2.0 was launched in 1991. This version marked a significant milestone in JMP's history, as it introduced a scripting language called JMP Scripting Language (JSL). JSL allowed users to automate tasks, create custom functions, and even develop their own applications within JMP. This feature helped expand JMP's capabilities and attracted a growing community of users.
The most recent versions have focused on making advanced analytics more accessible to a wider audience through workflow automation, deeper integration with other tools, and new product offerings.
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)