Altair Compose®.

Math, Programming, Data Analysis, and Visualization

Analyzing data, developing algorithms, or creating models – Altair Compose is designed to bring your ideas forward.

Altair Compose is an environment for doing math calculations, manipulating, and visualizing data, programming, and debugging scripts useful for repeated computations and process automation. Altair Compose allows users to perform a wide variety of math operations including linear algebra and matrix manipulations, statistics, differential equations, signal processing, control systems, polynomial fitting, and optimization.

The broad set of native CAE and test result readers accelerates system understanding and works with Altair Activate® to support model-based development, for multi-domain and system of systems simulations. Altair Embed® completes the model-based design portfolio with automated code generation, allowing for the testing and verification of embedded systems.

Why Altair Compose?

Better Engineering Decisions

Better Engineering Decisions

Perform useful engineering calculations based on first principles, either one-time or repeatedly (when archivable as reusable scripts), and with pre-or-postprocess data. Then easily plot results and make informed decisions.

Affordably All-in-One

Affordably All-in-One

All capabilities are available in a single, multi-functional tool with a user-friendly integrated development environment (IDE), with no additional toolboxes required.

Easily Accessible

Easily Accessible

Can be used on its own or with other Altair products, which are accessible through Altair’s innovative unit-based licensing system.

Key Features

Numerical Computing

Includes hundreds of powerful math operations and built-in functions for calculations ranging from ultra simple to super complex.

Rapid Algorithm Development

Users can explore multiple approaches and find solutions faster than with spreadsheets or traditional programming languages such as C/C++.

Multi-language Math Environment

Based on the Open Matrix Language (OML) and is also compatible with Octave and Python.
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