JMP 2.0 (1994) The software grew up. JMP 2.0 expanded beyond the Mac to Windows, broadening its user base significantly. This version introduced more advanced statistical capabilities, solidifying its place in industrial quality control and Six Sigma methodologies.
JMP 3.0 (1995) This was a pivotal release. JMP 3 introduced the JSL (JMP Scripting Language). This was a game-changer. While JMP was beloved for its GUI, JSL allowed power users to automate workflows, create custom applications, and extend JMP’s functionality. It bridged the gap between "point-and-click" ease and "programmer" power.
JMP 4.0 (1999) 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.
JMP 5.0 & 6.0 During this era, JMP cemented its reputation as the premier tool for Design of Experiments (DOE). The Custom Designer tool, introduced and refined in these versions, allowed engineers to create optimal designs for specific problems, saving time and resources in manufacturing.
JMP 6.0 also introduced significant upgrades to the Graph Builder platform (though it wasn't fully the drag-and-drop wonder we know today until later), focusing on making publication-quality graphics easier to produce.
From a simple Mac tool in 1989 to a comprehensive statistical discovery engine, JMP has maintained a singular focus: seeing the story in your data.
While other tools force you to think in code or static rows, JMP’s history shows a commitment to the visual and the interactive. Whether you are running a simple t-test or a complex neural network, the history of JMP is a history of making the complex accessible.
Are you a long-time JMP user? Which version was your first? Let us know in the comments!
Evolution of JMP Statistical Software JMP has transformed from a niche Macintosh tool into a global powerhouse for visual data analysis. Since its launch by SAS Institute in 1989, it has prioritized a "point-and-click" interface that bridges the gap between complex statistics and intuitive discovery. The Early Years (1.0 to 3.0)
JMP 1 (1989): Designed specifically for the Apple Macintosh. It introduced the revolutionary idea of linking graphics with data tables.
JMP 2 (1991): Expanded capabilities with more complex ANOVA and multivariate analysis.
JMP 3 (1994): The first version to support Microsoft Windows, marking its transition to a cross-platform tool. Scaling for Science (4.0 to 7.0)
JMP 4 (2000): Introduced the JMP Scripting Language (JSL). This allowed users to automate repetitive tasks and build custom applications.
JMP 5 (2002): Added significant features for Six Sigma and quality control, including Partition platforms and more robust DOE (Design of Experiments). jmp version history
JMP 6 (2005): Integrated JMP with SAS, allowing users to leverage the power of SAS servers while keeping the JMP visual interface.
JMP 7 (2007): Focused on "Visual Six Sigma" and enhanced the Graph Builder, which would become the heart of the software. The Modern Interface (8.0 to 12.0)
JMP 8 (2008): Massive overhaul of the user interface. It introduced the "Home Window" and improved data cleanup tools.
JMP 9 (2010): Brought deep integration with the R programming language and Excel. Map shapes and GIS capabilities were also added.
JMP 10 (2012): Saw the debut of JMP Pro. This version catered to "big data" with predictive modeling and cross-validation tools.
JMP 11 (2013): Enhanced the "Data Filter" and added the Column Selection tool, making it easier to slice through millions of rows.
JMP 12 (2015): Improved the "Selection" and "Reorder" features, focusing on user efficiency and the Query Builder for SQL-like data merging. Advanced Analytics (13.0 to 15.0)
JMP 13 (2016): A milestone for text exploration. Users could now analyze unstructured data like survey comments and logs directly.
JMP 14 (2018): Focused on workflow. The "Projects" feature allowed users to organize tables, scripts, and reports into a single file.
JMP 15 (2019): 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)
JMP 16 (2021): Focused on "Action Recording." JMP now automatically writes the JSL script as you click, making automation accessible to non-coders.
JMP 17 (2022): Added the Easy DOE tool. This guided workflow helps beginners design experiments without needing a PhD in statistics.
JMP 18 (2024): Introduced a native Python integration. Users can now run Python code directly within JMP, sharing data frames between the two environments seamlessly. Are you a long-time JMP user
💡 Key Takeaway: JMP’s history is a move from simple visualization to automated, AI-ready predictive modeling. If you’re looking to upgrade, I can help you: Compare JMP Standard vs. JMP Pro Find the best new features in Version 18 Check system requirements for your OS
JMP was first launched in 1989 as a product of SAS Institute. Over the decades, it has evolved from a Macintosh-only statistical tool into a multi-platform suite used for complex data exploration and predictive modeling. 🏛️ Origins and Early Growth
1989 (Version 1): Launched by SAS co-founder John Sall to provide a visual, interactive way to explore data on the Apple Macintosh.
Version 3.1.5: An early 1990s release that ran on "Classic" Mac OS (System 9).
Version 4: Introduced the JMP Scripting Language (JSL), allowing users to automate analysis and build custom applications. 🚀 Major Modern Milestones How to open data files from earlier versions?
JMP (Statistical Discovery Software) has evolved from a niche Macintosh tool in 1989 into a robust multi-platform analytics suite
. Below is the detailed version history and significant milestones. Wiley Interdisciplinary Reviews Early Foundation (1989–1999) Version 1 (1989):
Launched in October for Apple Macintosh, focusing on graphical interactivity and linking statistics with visual data. Version 3.2.2 (1995): First release to support the Windows operating system. Version 4 (2000):
Introduced more flexible graph modification options and improved data journaling features. Wiley Interdisciplinary Reviews Expansion & Integration (2002–2010) Version 5 (2005): Added advanced data mining tools like Decision Trees Neural Nets . This version also briefly supported Linux. Version 7 (2007): Began a deep integration with
, allowing users to write SAS code and retrieve server data directly within JMP. It also introduced bubble plots. Version 8 (2009): 64-bit support for macOS and a drag-and-drop interface for graph building. Version 9 (2010): Integrated with the R programming language
and added a dedicated Excel add-in. The main interface was rebuilt, and the Degradation platform was launched. Modern Analytics Era (2015–2022) Version 12 (2015):
Focused on reproducibility with enhanced release notes and JSL compatibility. Version 14 & 15:
Introduced modern data visualization and streamlined modeling workflows. Version 17 (2022): Key features included the Workflow Builder for point-and-click automation, (Design of Experiments), and Sample Size Explorers. JMP User Community Current Generations (2024–Present) Release Notes for JMP 18.1.1 The current version of JMP is JMP 16
JMP, a statistical software suite originally developed as "John’s Macintosh Project" by John Sall in the late 1980s, has evolved from a niche Mac tool into a global standard for scientists and engineers. Its history is marked by a transition from a dedicated Macintosh application to a cross-platform powerhouse that became a wholly owned subsidiary of SAS in 2022. Early Origins: 1989 – 2000
JMP was first released in October 1989 to leverage the graphical user interface (GUI) of the Apple Macintosh for statistical discovery.
JMP 1.0 (1989): Designed for interactivity, allowing users to explore data visually rather than through code-heavy command lines.
JMP 2.0 (1991): Doubled in size and introduced at Macworld Expo, this version required 2MB of memory and added more interactive graphics.
JMP 3.1 (1994): A major milestone where JMP expanded beyond Apple, introducing support for Microsoft Windows. Expansion and Modernization: 2002 – 2014
As the software matured, it underwent significant architectural rewrites to support more complex data sources and advanced statistical modeling.
JMP 4 (2002): Rewritten to handle a wider variety of data imports and introduced surface plots for better visualization.
JMP 11 (2014): Focused on "ease-of-use" with the introduction of the Excel Import Wizard and advanced features for Design of Experiments (DOE). The Recent Era: JMP 12 – JMP 17
The last decade has seen JMP transition toward larger datasets, better reporting, and specialized versions like JMP Pro for advanced predictive modeling.
The current version of JMP is JMP 16.0, released in 2022, which includes significant enhancements to machine learning, predictive analytics, and data science workflows.
This was the most painful and most necessary release in JMP history. After 13 years as a Mac-exclusive tool, SAS finally ported JMP to Microsoft Windows. This required rewriting huge portions of the codebase, but it opened JMP to 95% of the corporate desktop market.
Version 4.0 Features:
Why it matters: Version 4.0 is still found in legacy manufacturing plants today. It was "the version that paid the bills," stabilizing JMP as a serious enterprise tool.