Jmp Version History <Authentic - 2026>

Continues to refine data exploration, introduces specialized workflows for six sigma and reliability, and expands integrations with modern data lakes and cloud environments. 🔍 Key Features Introduced Across Decades

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.

: The development cycle continues. Early previews suggest JMP 20 will include new capabilities like Mixed Model Variable Selection and Bayesian Optimization for split plot experiments , promising to push the boundaries of advanced analytics further. jmp version history

The first version to support Microsoft Windows, marking its transition to a cross-platform tool. Scaling for Science (4.0 to 7.0)

This release broadened the software's foundational statistical methods, introducing deeper analysis of variance (ANOVA) capabilities and expanded multivariate tools while keeping the interactive graphic architecture intact. JMP 3 (1994) : The development cycle continues

Focused on reproducibility with enhanced release notes and JSL compatibility. Version 14 & 15:

Over the years JMP changed shape like any living thing. The early versions were businesslike and blunt: tables, simple charts, a stubborn insistence that data be tidy. Ana remembers nights at the lab, the fluorescent hum, swapping floppy disks among colleagues, each disk stamped with a version number like a talisman. Version 2 brought more analyses; version 3 polished the interface. With each update came new ways to ask the same questions, more elegant ways to reveal error bars and outliers. Scaling for Science (4

Introduced Actions Recorder, enhanced Python integration, and offered powerful text exploration modules.

Focused on workflow. The "Projects" feature allowed users to organize tables, scripts, and reports into a single file.

The core interactive data visualization and statistical analysis package used by scientists, researchers, and quality engineers.

: The Query Builder for visual SQL merging, automated data cleanup tools (missing value imputation), and execution of JMP models in Python/C code via JMP Pro. JMP 13 & JMP Pro 13 (2016)