Designed for dynamic data visualization and analytics on the desktop, JMP enables data access and processing; statistical analysis; design of experiments; multivariate analysis; quality and reliability analysis; scripting; graphing and charting. It helps you see and explore data, spot relationships and trends, and dig into areas of interest.

JMP® Live helps you share JMP analyses in an online space designed for interactive collaboration in your organization.

JMP® Pro is the advanced analytics version of JMP, providing all the tools for visual data access and manipulation, interactivity, comprehensive analyses, and extensibility found in JMP.

JMP® Clinical shortens the drug development process by streamlining safety reviews during clinical trials. It links advanced statistics and graphics, creates reports from CDISC data, and helps reviewers migrate into the modern review environment.

JMP® Genomics is a statistical discovery software package for researchers that enables statistical geneticists, biologists, bioinformatics experts, and statisticians to uncover meaningful patterns in high-throughput genetics, expression microarray, and proteomics data.

The most recent releases are:

JMP 16.0 and JMP Pro 16.0

JMP Live 16.0

JMP Clinical 8.0

JMP Genomics 10.0

What’s New

  • JMP 16.0 and JMP Pro 16.0
    • Action Recording and Enhanced Log Mode features a new, structured layout with new logging functionality and more actions logged, including capturing most data cleaning operations for easier reproducibility.
    • Model Screening platform runs different predictive modeling platforms at the same time to help select the best-performing model. (PRO)
    • Text Explorer: Sentiment analysis finds phrases in unstructured text using a customizable list of negaters, intensifiers and sentiment words. Term Selection identifies terms associated with a response. (PRO)
    • Control Chart warnings in JMP Live send notifications when a process is out of specification.  
  • JMP Live 16.0
    • New Manage Connections tool defines and names connections in one-time set up.
    • Enhanced JSL interface supports name-based connections, changes to attributes on individual reports, updates to data on an existing post, empty folder creation, report and folder deletion and search for posts, folders and reports.
    • Automatic page refresh when new information is available.
    • New data management options allow updates to an individual child post and updates to data on an existing post without republishing the original post. Note: Permissions control who can update data.
  • JMP Clinical 8.0
    • Integration with JMP Live allows clinical data scientists to collaborate, publish and share their work securely and conveniently via a web browser.
    • Interactive development safety update reports (DSUR) and periodic safety update reports (PSUR) allow drug safety scientists to evaluate adverse events and adverse reactions that occur during the trial and efficiently meet regulatory reporting requirements.
    • The new Medical Query Risk Report makes it easier to identify potential safety signals.
    • Increased standardization of all the reports in JMP Clinical, particularly with regard to color and layout, provides a simpler and friendlier user interface.
    • The JMP Clinical Application Programmers Interface (API) allows users to integrate their own reports into JMP Clinical more easily.

  • JMP Genomics 10.0
    • Enhanced cross-evaluation and progeny simulations enable high-paced breeding cycles, supporting the selection of healthier crops by modeling genetic variability.
    • The new Basic Single-Cell RNA-Seq workflow enables translational scientists to analyze gene expression patterns at the cellular level, facilitating identification of cell type clusters that show differential expression.
    • The addition of Population Admixture enables statistical geneticists to estimate ancestral origins more effectively and account for genetic diversity in genome-wide association studies (GWAS).
    • Predictive modeling enhancements including a new Model Summary and Ensemble utility improve machine learning applications for biomarker discovery.
    • New add-in routines enable Genomic Bayesian and XGBoost models via popular R and Python packages.

Get Started

Ready to create models from your data? These resources are a good place to start.


Getting started with JMP is easy. Use these resources to get the most out of JMP, right from the start.

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Knowledge Base & FAQs

The JMP Knowledge Base (aka JMP Notes) contains information on known problems (Problem Notes) associated with the software, common user errors, undocumented features, and circumventions and fixes for problems. It also contains Frequently Asked Questions (Usage Notes) about JMP software features and how to perform various statistics.

Stay connected

Be part of the SAS community. We offer a variety of ways for you to interact with users and experts.

JMP Technical Papers

Read technical papers to learn how to complete a task or achieve a goal.


Find user's guides and other technical documentation for JMP.

Previous Versions

Software Downloads

The downloads application contains updates for JMP products and solutions.

JMP Blogs & Communities

Connect with other SAS users by joining a users group or attending an upcoming event.

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