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.

MATLAB Capabilities

• Data Analysis: Explore, model, and analyze data
• Graphics: Visualize and explore data
• Programming: 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
• Hardware: 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: Design, test, and implement control systems
• Deep Learning: Data preparation, design, simulation, and deployment for deep neural networks
• Image Processing and Computer Vision: Acquire, process, and analyze images and video for algorithm development and system design
• Machine Learning: Train models, tune parameters, and deploy to production or the edge
• Predictive Maintenance: Develop and deploy condition monitoring and predictive maintenance software
• Robotics: Convert your robotics ideas and concepts into autonomous systems that work seamlessly in real-world environments
• Signal Processing: Analyze signals and time-series data. Model, design, and simulate signal processing systems
• Test and Measurement: Acquire, analyze, and explore data and automate tests