MATLAB combines a desktop environment built for engineering and scientific work with a high-level language that directly expresses matrix and array mathematics. Its math libraries are rigorously tested for accuracy and consistency, so you can trust the results you compute. And with executable notebooks that blend code, output, and formatted text, you can document your work as you go, helping you stay focused on solving problems rather than managing code.
Data Analysis and Visualization
Whether your data comes from spreadsheets, images, audio, databases, or is too large to fit in memory, you can clean, transform, and explore it with tools that make each step intuitive and reproducible. Visualization capabilities help you interpret results and present them clearly with customizable 2D plots, 3D surfaces, and animations.
Programming and Software Development
It is easy to get started coding in MATLAB with interactive work and simple scripts. As your projects grow in size and complexity, the MATLAB language grows with you. Integrated tools for debugging, profiling, source control, unit testing, continuous integration, and packaging support full software development workflows.
App Building
You can create interactive applications that combine user interface components with the algorithms you develop in MATLAB. A drag‑and‑drop canvas and integrated code editor let you build, refine, and share tools. Others can use these tools without needing to understand your code or even having a MATLAB license to run them.
Application-Specific Toolboxes
MATLAB toolboxes extend the platform with professionally developed algorithms, apps, and examples for specialized engineering and scientific tasks. Each toolbox integrates directly with the MATLAB environment and is tested to ensure compatibility. You can apply proven methods for signal processing, control design, machine learning, image analysis, robotics, and more without building everything from scratch. This helps you move from concept to implementation more quickly and with confidence in the underlying methods.
AI Assistance
MATLAB Copilot is built into MATLAB to help you move faster. You can describe tasks in natural language or ask Copilot to draft code, create visualizations, suggest functions, and outline steps. This means you can validate ideas and automate routine work without leaving the environment. For agentic workflows, the MATLAB MCP Core Server connects MATLAB to compatible coding agents and tools, including Claude Code, OpenAI® Codex, and GitHub® Copilot, to run analyses, test alternatives, and iterate programmatically. Together, these features help you learn quickly, explore options more thoroughly, and turn ideas into working solutions with fewer manual steps.
Sharing and Deployment
MATLAB provides several ways to share your work and deploy it beyond the desktop. You can automatically convert MATLAB algorithms to C/C++, HDL, and CUDA® code, enabling them to run on your embedded processor or FPGA/ASIC. There are also targeted capabilities for embedding AI models. For broader distribution, MATLAB Compiler and MATLAB Compiler SDK let you package MATLAB programs as standalone executables, web apps, or software components that can run without a MATLAB installation. These different options help you share what you have built in MATLAB in a form that fits how others work.
MATLAB Integrations
MATLAB works with the tools, languages, and environments you already use. You can call libraries written in Python®, Java®, C/C++, Fortran®, and .NET directly from MATLAB, or embed MATLAB algorithms into external applications and services. Integration with VS Code and Jupyter® lets you use MATLAB functionality from the editors and notebooks that your workflows depend on. Built-in support for Git and common CI/CD systems helps you manage versioning and automate testing. With flexible deployment options on desktops, clusters, containers, or the cloud, you can scale your work as your needs grow.
Get Started Quickly
Free, self‑paced tutorials help you learn the basics and build new skills at your own pace. Topics include MATLAB fundamentals, app building, and object‑oriented programming, so you can progress from introductory concepts to more advanced workflows as needed.
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