The release of JSL in version 4 changed JMP from a desktop tool to a platform that could automate complex reports.
JMP introduced professional-grade features to bridge the gap between ad-hoc analysis and enterprise-level predictive modeling.
: This release was a landmark for predictive analytics. It introduced two powerful new modeling platforms: Partition (for recursive tree-based modeling) and Neural Net (featuring a simple neural network with one hidden layer). JMP 5 also put a "new look" on the software, refreshing its user interface.
SAS introduced JMP Pro , an advanced tier designed for predictive modeling, cross-validation, and text mining. jmp version history
: Modernized the underlying software architecture to handle larger datasets.
: This update strengthened core analytics by improving Generalized Linear Models, Definitive Screening Designs, and reliability analysis. It also introduced Virtual Join , allowing users to work with large datasets without physically merging them in memory.
: Standardized the user interface across Windows and Macintosh operating systems. JMP 5 (2002) The release of JSL in version 4 changed
JMP 10 split the product line into standard JMP and JMP Pro. JMP Pro offered advanced analytics aimed at data scientists, including predictive modeling, cross-validation, exact statistics, and advanced text mining. Advanced Analytics and Web Deployment: JMP 11 to JMP 14 JMP 11 (2013) Key Feature: Enhanced data preparation tools.
As data sources and operating systems evolve, modern versions ensure compatibility with modern infrastructure.
Launched by SAS co-founder John Sall to provide a visual, interactive way to explore data on the Apple Macintosh. It introduced two powerful new modeling platforms: Partition
: Seamless integration with the R programming language, MS Excel add-ins, maps for geographic data visualization, and advanced reliability degradation modeling. JMP 10 & JMP Pro 10 (2012)
Choice modeling, analytic column formulas, and visual statistical control charts. JMP 9 (2010)
This period saw the introduction of "JMP Pro," a more powerful version for advanced analytics, alongside a strong focus on making the entire data analysis workflow more efficient.
Verdict: These versions were niche but visionary. Mac-based statisticians loved them; everyone else was still writing SAS code.