Minitab vs Python

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

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

If you want a free, highly customizable tool to use for data analysis, data visualization, Machine Learning, web scraping, and more, you should use Python over Minitab.

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.

On the other hand, Python is a general-purpose programming language that focuses on simplicity and readability.

Rather than building all of its functionality into its core, Python was designed to be highly extensible through modules.

Python is commonly used for web development, GUI development, system administration, software development, automation, testing tools, machine learning, data analytics, data visualization, and data science.

Python stats

There are many factors to consider when learning a new technology or programming language.

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


If you want to learn a programming language or a statistical software solely for its popularity among users, you should learn Python over Minitab.

As of April 2023, Python is ranked as the most popular programming language on the TIOBE index.

Further, according to a  Stack Overflow survey of 2022, Python is the 4th most commonly used programming language, it is used by 43.51% of professional developers.

On the other hand, Minitab is not a programming language and is not included in many rankings that include Python.

However, Python still remains generally more popular than Minitab in many areas where the usage overlap.


Some software packages can be learned more easily than others.

If you want a package or language that you can easily pick up to work on data analysis and statistical projects, you should use Minitab over Python.

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.

Unlike Minitab, Python does not have a user-friendly interface, and you must have some programming skills in order to use it effectively.

It is worth noting that Python is one of the easiest programming languages to learn. Python has an English-like, easy-to-understand syntax that makes it very easy to write code.

Plus, the Python community is large and active, and there are many resources available to help users learn Python easily.

Python also has a wide range of packages for data analysis, and users can create custom functions and scripts to perform specific tasks.

Python is also powerful for data visualization, thanks to libraries like Matplotlib, Seaborn, Plotly, and many others.

Minitab is generally easier to use than Python, but Python is more versatile and customizable.

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.

Python, on the other hand, is a good choice for users who have programming skills or are willing to learn, and for those who want to create custom functions or scripts to perform specific tasks.

Python is also more popular among researchers and the academic community.

Also read Can I Learn Machine Learning Without using Python


Python programming language is free and open source. Many Python libraries are free to use for personal and commercial purposes.

On the other hand, Minitab is not a free software, it is a proprietary software package that requires a purchase.

It is available in different versions such as Minitab Connect, Minitab, Minitab Engage, and many others. Each version has its own features and pricing.

Because Minitab is not free, many users prefer free-to-use, open-source alternatives such as R and Python with many libraries related to data analysis like Pandas, NumPy, ggplot2, and many others.


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

Python has a large standard library that provides tools and features suited for many applications.

It supports many standard protocols and formats like HTTP, MIME, and many others.

It also includes modules that can be used for relational database connection, unit testing, and manipulation of regular expressions.

Python has many amazing features, libraries, and packages that make it a popular choice for web development, scientific and numeric applications, system administration, GUI development, and more.

Python powers some of the complex applications developed by companies like Google, NASA, IBM, Microsoft, Meta, Cisco, Duolingo, Pinterest, Reddit, Pixar, Netflix, and many others.

Ultimately, Python is more customizable and robust. Python has a wide range of packages for data analysis.

Python also helps users to create custom functions and scripts to perform specific tasks.

On the other hand, Minitab is not as robust as Python but it has a lot of products that help a lot of companies work efficiently.


Minitab does not use Python primarily but it integrates with Python using the mtbpy module.

With this custom module, you can create tables, graphs, messages, and notes in Python and display them in Minitab.

Minitab is used by many companies such as Sony, Ford, Johnson & Johnson, T-Mobile, JetBlue Airways, Stryker, Hitachi, Motorola, Coca-Cola, American Express, Honeywell, and many others.


Both Minitab and Python 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, you should learn Minitab.

If you have programming skills and want a tool that is popular, robust, and highly customizable, you should learn Python.