MATLAB: Programming language for technical computing
When I first started working with MATLAB, it wasn't immediately clear to me whether I was dealing with a programming language, a computing environment, or a specialized tool for engineers. Many people are at this point and looking for a simple answer to the question "What is MATLAB" without having to wade through product brochures or forum discussions. This post provides context on what MATLAB is technically, where it is used, what misconceptions circulate, and what to consider when choosing tools.
Source: Own Representation
Introduction to MATLAB
MATLAB is a proprietary, multi-paradigm programming language and interactive system for numerical computation, visualization, and programming developed by MathWorks. It is designed for matrix and array computations and supports data visualization, algorithm implementation, graphical user interface construction, and interfaces to other languages like C, C++, or Java ( Wikipedia, its.uni-bayreuth.de). MathWorks describes MATLAB as a programming and numerical computing platform used by millions of engineers and scientists to analyze data, develop algorithms, and build models ( mathworks.com, ch.mathworks.com).
Specifically, this means that measurement data from labs, vehicles, or sensors can be imported, filtered, transformed, and modeled using integrated functions. The results can be displayed directly as graphs, heatmaps, or 3D plots ( ch.mathworks.com). In addition, there are specialized toolboxes for signal processing, image processing, statistics, machine learning, robotics, and financial mathematics, which provide ready-made algorithms and workflows ( mathworks.com).
An important puzzle piece is Simulink: a block-based simulation environment that builds on MATLAB. Here, dynamic systems can be assembled from function blocks, such as motor, sensor, controller, and disturbances ( mathworks.com). This combination of script-based MATLAB code and graphical Simulink models is standard in the automotive and aerospace industries, in energy and medical technology, and in many research labs when complex control loops or multi-body systems are simulated ( ch.mathworks.com, freecodecamp.org).
Frequently Asked Questions (FAQ)
This section answers the most important questions about MATLAB.
What is MATLAB in one sentence, and what is it used for?
MATLAB is a combination of high-level language programming and a numerical computing platform, primarily used to solve mathematical, technical, and scientific tasks – from data analysis and simulation to modeling complex systems ( ch.mathworks.com, mathworks.com). Typical application areas range from the evaluation of sensor measurement series in vehicles to the design of controllers in power electronics, to algorithms for image processing or financial risk models ( coursera.org, freecodecamp.org). The added value is mainly shown in that computing, visualization, and programming are closely intertwined in one environment, rather than being distributed across multiple tools ( ch.mathworks.com).
Is MATLAB a programming language or "just a program"?
MATLAB is both: a standalone, multi-paradigm programming language and, at the same time, an integrated development environment with an editor, command line, plot windows, and numerous interactive apps ( Wikipedia, mathworks.com). Scripts or functions are written in files with extensions like .m or .mlx, executed directly in the same interface, and outputs and graphics are visible immediately next to them ( mathworks.com). Additionally, there are ready-made apps that can be used to filter signals, train classifiers, or fit curves to data, with the corresponding MATLAB code being automatically generated afterward ( mathworks.com).
Do I really need MATLAB if I already know Python?
Whether MATLAB is needed in addition to Python depends heavily on the context. The typical "Python stack" with NumPy, SciPy, pandas, and Matplotlib covers many numerical tasks today that were almost exclusively handled by MATLAB in the past ( harrymunro.hashnode.dev). MATLAB, on the other hand, scores with a very consistent standard library tailored for numerical mathematics, many specialized toolboxes, and the close integration with Simulink, which often means less configuration effort in classic engineering workflows ( ch.mathworks.com, mathworks.com). Studies and expert articles emphasize that MATLAB remains standard in many companies and technical degree programs, while Python dominates more in the areas of web, data pipelines, and general software development ( cepr.org). In practice, many teams use both worlds: MATLAB for prototypes and modeling, Python for production services.
How can I get MATLAB legally and as inexpensively as possible?
MathWorks offers different license types, such as Standard, Startup, Academic, Student, and Home licenses, each with its own prices and terms of use ( ch.mathworks.com). Many universities use campus-wide licenses, where students and staff can install MATLAB and Simulink at no additional cost through their university access and can also use them privately ( mathworks.com). Independent overviews show that individual licenses in the Standard category cost in the low to mid three-digit US dollar range per year, while Student and Home licenses are significantly cheaper ( trustradius.com, humusoft.cz). Additionally, time-limited trial versions can be requested directly from MathWorks to test the software in your own scenario before investing ( mathworks.com).
Can I also use MATLAB in the browser without installing anything?
Yes, with MATLAB Online, you can launch the current MATLAB version directly in your browser; computing power and storage come from MathWorks' cloud ( mathworks.com). Files and projects can be managed via MATLAB Drive, cloud storage, or Git, allowing seamless work on different devices ( mathworks.com). MATLAB Online is often part of campus licenses, so students only need a browser and a university login to get started ( mathworks.com).
Is MATLAB only interesting for engineers?
Although MATLAB originated from numerical mathematics and control engineering, it is now used in many disciplines – from natural and engineering sciences to economics, biology, and medicine ( coursera.org, freecodecamp.org). In economics and financial research, MATLAB is one of the most widely used languages alongside Julia, Python, and R for complex models and risk analyses ( cepr.org, cepr.org). In life sciences and medicine, it is used for image analysis, signal processing of EEG or ECG, and for the evaluation of experimental data, among other things ( ch.mathworks.com). Additionally, there are private projects, e.g., for 3D printing geometries, home automation, or hobby robotics, where the MATLAB Home license is used ( mathworks.com).
How difficult is it to get started with MATLAB?
For those who have already programmed before, MATLAB is usually considered relatively accessible because its syntax is strongly based on mathematical notation, and many operations work directly on vectors and matrices ( mathworks.com). MathWorks offers free, interactive introductions with MATLAB Onramp and other online courses that guide you step-by-step through basics like variables, plots, and scripts ( matlabacademy.mathworks.com). In addition, numerous freely accessible crash courses and video series exist, for example, on freeCodeCamp's YouTube channel or on the official MATLAB website ( freecodecamp.org, de.mathworks.com). However, you can't get by without any training: Concepts like vectorization, memory layout, or numerical stability must also be understood here, especially for larger projects ( harrymunro.hashnode.dev).
How does MATLAB work with other languages?
MATLAB can call functions and libraries in languages such as C, C++, Fortran, Java, and Python; conversely, C or C++ code can be generated from MATLAB, which then runs on embedded devices or in other applications ( mathworks.com). This allows computationally intensive core functions to be optimized in C, while still keeping most of the logic in MATLAB, or Python scripts can be combined with MATLAB algorithms ( harrymunro.hashnode.dev). In many data science workflows, MATLAB therefore serves as a prototyping platform, while production code runs in another language later, without the algorithms having to be completely reinvented ( matlabacademy.mathworks.com).
Source: YouTube
This video concisely explains what MATLAB is, shows the interface and typical application examples, and complements the basics described here with a visual impression ( YouTube).
Myths and Misconceptions
This section sheds light on common myths and misconceptions surrounding MATLAB.
Myth 1: "MATLAB is free for private use." - Classification: False/Misleading
There is no permanently free full version of MATLAB for private use; the software is sold exclusively through paid licenses, even though there are trial versions, student, and home licenses at significantly reduced prices ( ch.mathworks.com, mathworks.com). Price lists and comparison sites clearly show that even individual standard licenses cost several hundred US dollars, while academic and student licenses are cheaper ( trustradius.com, humusoft.cz). Only time-limited trials or offers through universities, where the institution bears the license costs, are free ( mathworks.com).
Myth 2: "MATLAB is outdated and no longer plays a role today." - Classification: False/Misleading
Even though MATLAB originated in the 1980s, the platform is continuously being developed and is an integral part of development and research processes in many industries ( Wikipedia). MathWorks points to millions of active users worldwide and thousands of universities using MATLAB in teaching and research ( mathworks.com, mathworks.com). In economic analyses, MATLAB is listed alongside Julia, Python, and R as one of the four central languages for numerical research, not as a fringe phenomenon ( cepr.org).
Myth 3: "Python is always better than MATLAB." - Classification: Unclear, highly context-dependent
Python is very attractive in many scenarios thanks to open source, a large community, and a versatile ecosystem, for example, for web development, data pipelines, and machine learning workflows with libraries like TensorFlow or PyTorch ( harrymunro.hashnode.dev). MATLAB, on the other hand, offers a tightly integrated package of language, toolboxes, Simulink, and code generation, which can have clear advantages in classic technical projects with strong hardware proximity and strict standards ( ch.mathworks.com, mathworks.com). Expert articles rarely advocate for a blanket solution but rather recommend choosing the appropriate combination of tools depending on the project and framework ( cepr.org).
Myth 4: "MATLAB is just an expensive matrix calculator." - Classification: False/Misleading
The name "Matrix Laboratory" comes from its beginnings, but today the MATLAB ecosystem encompasses much more: toolboxes for signal and image processing, robotics, wireless communication, computational finance, statistics, deep learning, and much more ( mathworks.com). There are apps and functions that cover complete workflows from measurement data acquisition, filtering, and modeling to automatic code generation for embedded hardware ( mathworks.com, mathworks.com). The image of a "calculator" only applies to the smallest scripts, not to typical industrial applications.
Myth 5: "MATLAB is always faster than Python." - Classification: Unclear
Historically, MATLAB had advantages in many numerical tasks because it relied on optimized BLAS/LAPACK libraries from the start and incorporated matrix operations as a core concept ( Wikipedia). However, modern benchmarks show that Python with NumPy, SciPy, Numba, and GPU libraries like CuPy achieves similar or even better performance in many workloads, provided the code is cleanly vectorized and optimized ( quix.io, harrymunro.hashnode.dev). At the same time, there are scenarios where MATLAB continues to lead, for example, in certain model-based design workflows with Simulink and strict real-time requirements ( quix.io).
Source: YouTube
Facts and Context
This section summarizes the facts about MATLAB and provides context.
Technology and Functionality
It is certain that MATLAB was developed as a high-level language environment with a focus on array and matrix computation and still offers a wide range of libraries for numerical mathematics, visualization, and algorithms ( mathworks.com, mathworks.com). The functionality of Simulink and the toolboxes, which cover topics such as signal processing, image processing, robotics, wireless communication, computational finance, and AI, is also well-documented ( mathworks.com, de.mathworks.com). The distinction from languages like Julia, which are specifically optimized for high-performance numerical computation and modern JIT concepts, is unclear and constantly evolving; concrete benchmarks and project requirements ultimately decide here ( cepr.org, web.stanford.edu). General statements that MATLAB is unsuitable for modern deep learning or cloud workflows are exaggerated – corresponding toolboxes and integrations exist and are regularly updated ( mathworks.com).
Source: dailyutahchronicle.com
MATLAB offers powerful tools for 3D visualization and managing complex variables.
Costs and Licenses
In fact, MATLAB is a paid product with clearly defined license models for commercial, academic, and private use ( ch.mathworks.com). Campus-wide licenses allow universities to equip the entire campus with MATLAB and Simulink, thus creating virtually an all-inclusive rate for students and researchers ( mathworks.com). External price overviews list prices for individual standard licenses in 2025 in the range of approximately 250 to 500 US dollars per year or as a perpetual license, while student and home licenses are significantly lower ( trustradius.com, reddit.com). How these costs compare to savings in development time, support, and certifications is project-dependent and is discussed in the literature more in the form of case studies than broad meta-studies ( quix.io).
Everyday Usability and Access
MATLAB runs on Windows, macOS, and Linux and is also available via MATLAB Online in the browser, which simplifies its use on lightweight laptops or remote computers ( mathworks.com, mathworks.com). The integrated development environment offers an editor, debugger, workspace view, and plot windows in one, making recurring analysis tasks in everyday life relatively smooth ( ch.mathworks.com). In addition, there are extensive learning resources, from MATLAB Onramp to detailed documentation to example projects and video tutorials, which facilitate getting started and knowledge transfer in teams ( matlabacademy.mathworks.com, de.mathworks.com). Misconceptions about MATLAB being "child's play" are exaggerated – the real challenge lies not so much in operating the environment as in the underlying mathematical and algorithmic concepts ( harrymunro.hashnode.dev).
Source: startlinked.weebly.com
The MATLAB user interface allows interactive work with code, data, and visualizations.
Reactions, Experiences, and Counterarguments
In professional articles and blogs comparing MATLAB to Python, R, or Julia, it is often criticized that proprietary licenses and cost structures make MATLAB less attractive in open environments strongly oriented towards open source ( harrymunro.hashnode.dev, quix.io). At the same time, many voices emphasize that MATLAB holds an irreplaceable position due to its degree of integration, stable support, and long history in safety-critical fields such as aviation, automotive, and medical technology ( ch.mathworks.com, mathworks.com).
In academic economics, MATLAB, Python, R, and Julia are explicitly weighed against each other, using criteria such as library scope, performance, and availability of example code; the authors emphasize that a different choice may be sensible depending on the project and institution ( cepr.org, cepr.org). In online communities, users often report that they appreciate MATLAB for prototyping and teaching, while production systems are often implemented in C, C++, or Python – either through generated code or subsequent porting ( mathworks.com, freecodecamp.org).
What does "What is MATLAB" mean to you in everyday life?
If you're asking yourself "What is MATLAB", it's almost always about a decision: is it worth it for you to invest time in this ecosystem, or are other tools better suited to your path. If MATLAB and Simulink are used extensively in your studies or your company, you will benefit greatly from mastering the language thoroughly – many teaching materials, internships, and internal tools build directly on it ( mathworks.com, mathworks.com). On the other hand, if you focus primarily on web applications, cloud backends, or pure data engineering tasks, Python is often the more pragmatic first choice because it has a broader, freely accessible ecosystem there ( harrymunro.hashnode.dev).
A sensible strategy is to first systematically check which languages are recurring in your target industries, job postings, and module catalogs, and then build depth where you have the greatest leverage ( cepr.org). It also helps to weigh sources consciously: official MathWorks pages provide technical facts, while price comparisons and blog posts give a feel for costs, community opinions, and alternatives ( ch.mathworks.com, trustradius.com, quix.io).
Source: YouTube
The "MATLAB Crash Course for Beginners" takes about half an hour to go through the most important elements of the environment and is well suited to get a feel for how MATLAB feels in concrete everyday life along with this text ( YouTube).
Open Questions and Data Gaps
It remains unclear how the relationship between MATLAB and open alternatives like Python, R, and Julia will develop in the long term, especially as these languages are dynamically gaining importance in research and industry ( cepr.org). Many long-term cost-benefit analyses of license fees, training effort, and productivity are highly case-specific and stem more from individual case studies and company reports than from broad empirical studies ( quix.io, trustradius.com).
Technically, there are ongoing new benchmarks comparing the performance of MATLAB, Python, R, and Julia; however, these are always snapshots and depend on hardware, library versions, and implementation details ( quix.io, web.stanford.edu). Also interesting, but not yet conclusively clarified, is the question of how cloud offerings like MATLAB Online, JupyterHub, Google Colab, and similar services will affect license models, learning habits, and tool landscapes in the long term ( mathworks.com).
Conclusion and Outlook
The question "What is MATLAB" can be summarized at the end: MATLAB is a specialized but very broad platform for numerical mathematics, modeling, and technical applications that shines particularly where engineering and science projects benefit from consistent workflows, simulation environments, and professional support ( ch.mathworks.com, mathworks.com). At the same time, there are strong alternatives with Python, R, and Julia that are at least as relevant in many scenarios – especially if openness, cost freedom, and maximum flexibility are your priorities ( cepr.org, harrymunro.hashnode.dev).
With a clear view of facts, costs, typical workflows, and your own goals, you can consciously decide what role MATLAB should play in your toolbox – while retaining the freedom to use other languages precisely where they make the biggest difference for you.