JMP vs Minitab

JMP vs Minitab | Popularity, Salary, Pricing, Features, and Applications

Minitab and JMP are both powerful tools for statistical and data analysis, but they have some key differences that make them better suited for different types of tasks.

If you want a powerful, highly customizable, easy-to-use software for statistical analysis, machine learning, data analysis, interactive visualization, and more, you should use JMP.

JMP is a statistical software for insight-driven improvements, it is used in applications such as quality control and six sigma.

JMP is also popular for the design of experiments, engineering, pharmaceuticals, and research in science and social sciences.

On the other hand, if you want an easy-to-use, simple, and powerful tool for statistics, data analysis, data visualization, project planning, and innovation management, you should use Minitab.

Minitab is a proprietary software package that is specifically designed for statistics and data analysis.

It has a user-friendly interface and a wide range of built-in statistical tools and functions that make it easy for users to perform complex analysis without needing to know how to program.

Minitab also includes data visualization tools that allow users to create professional-looking charts and graphs with minimal effort.

Minitab is widely used in many industries, including manufacturing, healthcare, education, and government.

It is a popular choice for Six Sigma and other quality improvement initiatives, and it is also used in many academic and research settings.

There are many factors to consider when learning a new technology or statistical software package.

Popularity, opportunities, types of projects, resources, learning curve, etc. are some of the factors that many people consider when choosing to learn a new technology or software package.


JMP and Minitab have many similarities and many of their uses can intersect. They both can be used for Data Analysis, Statistics, and Data Visualization.

JMP is more robust and highly customizable than Minitab. JMP comes with a scripting language called JSL, an interface for R programming, and an add-in for Excel.

JSL makes automation and customization in JMP easy and straightforward. JSL also helps to extend the functionality of JMP.

You can use JSL scripts to perform analyses and visualizations not available in the point-and-click interface

Power users can develop scripts to extend JMP’s functionality and automate a regularly scheduled analysis in production settings.

And if for some reason you do not want to learn JSL, JMP can easily write the scripts for you.

JMP allows code written in Python, R, Matlab, and SAS to be executed in JSL, this integration makes JMP more powerful, robust, and efficient than Minitab.

JMP is used by many companies such as Nike, Micron, Seagate, Medtronic, Intel, Symrise, NXP, Mulata Finland, Novozymes, DuPont, Dairygold, IQE, NVIDIA, Roche, Siemens Healthineers, Imperial College London, Lufthansa, McDonald’s, and many others.

On the hand, Minitab focuses on solving complex problems faster and more easily. This enables users to make data-driven decisions quickly.

Minitab has features such as Continuous Improvement, Data Integration & Data Prep, Diagramming & Mind Mapping, Model Deployment & ML Ops. and Innovation & Project Management.

Minitab integrates with Python using the mtbpy module and with R using the mtbr package.

With these custom modules, you can create tables, graphs, messages, and notes in Python or R and display them in Minitab.

The combination of these features makes Minitab a popular choice for many companies such as Sony, Ford, Johnson & Johnson, T-Mobile, JetBlue Airways, Stryker, Hitachi, Motorola, Coca-Cola, American Express, Honeywell, and many others.


Some software packages can be learned more easily than others. Both Minitab and JMP are very easy software to work with.

However, if you want a software package that you can easily pick up to work on data analysis and statistical projects, you should use Minitab over JPM.

Minitab is very easy to use, it is straightforward and you can quickly get the results that you want. It has a beautiful and user-friendly interface.

Minitab is a good choice for users who want a user-friendly interface and a wide range of built-in statistical tools, and for those who do not have programming skills.

Similarly, JMP has an easy to use interface that can help you get started with statistical and data analysis easily.

Overall, Minitab is relatively easy to work with than JMP, but JMP is more robust and highly customizable.


Both Minitab and JMP are proprietary software package that requires a purchase. They both have a 30-day trial period to try out the packages for free.

Minitab is available in different versions such as Minitab Connect, Minitab, Minitab Workspace, Minitab Model Ops, Minitab Engage, and many others.

Each of these versions has its own features and pricing. For example, Minitab Single Named User Annual Subscription starts at $1,780.

The Single Named User Annual Subscription + Predictive Analytics module starts at $3,040.

JMP is also available in many versions such as JMP, JMP Pro, JMP Live, and JMP Clinical.

Each of these products has its own features and pricing. For example, JMP starts at $1,200 per year.

Because Minitab and JMP are not free, many users prefer free-to-use, open-source alternatives such as R and Python.


Both Minitab and JMP have their own strengths and weaknesses, and the choice between them will depend on the specific needs and goals that you have.

If you are looking for a tool that is easy to use and has a wide range of built-in statistical tools, data analysis, innovation & project management, data mining, etc. you should use Minitab.

If you want a powerful, highly customizable, easy-to-use software for statistical analysis, machine learning, data analysis, interactive visualization, and more, you should use JMP.