Jmp Version History Jun 2026

In 2016, JMP 14.0 was launched, bringing a new version of JMP Pro. This version introduced advanced features, such as neural networks, gradient boosting, and enhanced simulation capabilities.

What (like DOE, Reliability, or Predictive Modeling) do you use most? Do you need to integrate your workflow with Python or R ? Share public link

: Modernized the underlying software architecture to handle larger datasets. jmp version history

Easy DOE workflow for novice users, Search Instrument for fast tool discovery, Generalized Linear Mixed Models (GLMM), and functional data explorer updates. JMP 18 & JMP Pro 18 (2024) Focus Area: Deep Python Integration and Modernized Core.

Massive overhaul of the user interface. It introduced the "Home Window" and improved data cleanup tools. In 2016, JMP 14

R/Python Integration, JMP Pro (Predictive Modeling), Application Builder JMP Live (Cloud), AI-Driven Analytics, Advanced Python PIP 🚀 What's Next for JMP?

changed the game by going cross-platform (Windows/Mac). The interface gained pivot tables, time series forecasting, and the familiar "Tabulate" platform. For many corporate analysts, this was their first exposure to drag-and-drop statistics. Do you need to integrate your workflow with Python or R

Action Recording, which automatically tracks user clicks to generate JSL scripts. Enhanced model screening, sentiment analysis improvements, and native Apple Silicon (M1/M2) support. JMP 17 & JMP Pro 17 (2022)