Math. Graphics. Programming.

MATLAB is a programming and numeric computing platform used by millions of engineers and scientists to analyze data, develop algorithms, and create models.

Designed for the way you think and the work you do.

MATLAB combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly. It includes the Live Editor for creating scripts that combine code, output, and formatted text in an executable notebook.

Professionally Built

MATLAB toolboxes are professionally developed, rigorously tested, and fully documented.

With Interactive Apps

MATLAB apps let you see how different algorithms work with your data. Iterate until you’ve got the results you want, then automatically generate a MATLAB program to reproduce or automate your work.

And the Ability to Scale

Scale your analyses to run on clusters, GPUs, and clouds with only minor code changes. There’s no need to rewrite your code or learn big data programming and out-of-memory techniques.

See what's new in the latest release.

MATLAB Capabilities

Data Analysis

Explore, model, and analyze data


Visualize and explore data


Create scripts, functions, and classes

App Building

Create desktop and web apps

External Language Interfaces

Use MATLAB with Python, C/C++, Fortran, Java, and other languages


Connect MATLAB to hardware

Parallel Computing

Perform large-scale computations and parallelize simulations using multicore desktops, GPUs, clusters, and clouds

Web and Desktop Deployment

Share your MATLAB programs

MATLAB in the Cloud

Run in cloud environments from MathWorks Cloud to public clouds including AWS and Azure

Take Your Ideas Beyond Research to Production

Deploy to Enterprise Applications

MATLAB code is production ready, so you can go directly to your cloud and enterprise systems, and integrate with data sources and business systems.

Run on Embedded Devices

Automatically convert MATLAB algorithms to C/C++, HDL, and CUDA code to run on your embedded processor or FPGA/ASIC.

Integrate with Model-Based Design

MATLAB works with Simulink to support Model-Based Design, which is used for multidomain simulation, automatic code generation, and test and verification of embedded systems.

Use MATLAB for:

control systems

Control Systems

Design, test, and implement control systems

deep learning

Deep Learning

Data preparation, design, simulation, and deployment for deep neural networks

image processing and computer vision

Image Processing and Computer Vision

Acquire, process, and analyze images and video for algorithm development and system design

Space Systems
machine learning

Machine Learning

Train models, tune parameters, and deploy to production or the edge

predictive maintenance

Predictive Maintenance

Develop and deploy condition monitoring and predictive maintenance software



Convert your robotics ideas and concepts into autonomous systems that work seamlessly in real-world environments.

signal processing

Signal Processing

Analyze signals and time-series data. Model, design, and simulate signal processing systems.

test and measurement

Test and Measurement

Acquire, analyze, and explore data and automate tests

wireless communications

Wireless Communications

Create, design, test, and verify wireless communications systems