Mathematica Solution for Software Engineering

The Mathematica software engineering solution seamlessly integrates computational ability with a sophisticated development environment and a range of immediate deployment options.

With specialized tools for code refactoring and unit testing, direct integration of dynamic libraries, and automatic C code generation and linking, Mathematica is the ultimate build-to-deploy environment.

Developing innovative applications

Wolfram|Alpha is powered entirely by Wolfram technologies—it is developed with Mathematica and Wolfram Workbench and deployed in webMathematica

Key Capabilities

Why Choose Mathematica

Ways to Use

Mathematica includes thousands of built-in functions for computation, modeling, visualization, development, and deployment »
Software engineering specific capabilities:
A range of tools for rapid prototype development practices
Build GPU computation into Mathematica programs using support for CUDA and OpenCL environments
Automatically convert Mathematica programs into standalone C code with code generation functions »
Integrate external dynamic libraries directly into Mathematica, enabling high-speed, memory-efficient execution »
Create, manipulate, and optimize C code using symbolic programming »
High-level, dynamic language with consistent symbolic syntax and semantics across all data, functions, and interfaces »
Convenient capabilities for developing, including syntax coloring, autocompletion, debugging tools, and more »
Integration with C, Python, Java, .NET, databases, and other applications »
Wide range of optimized data structures such as sparse arrays and interpolating functions
Programmatically create and interact with 2D and 3D plots and graphics »

Wolfram Workbench provides top-of-the-line, cross-platform development capabilities, including tools for debugging, unit testing, refactoring, documenting, and profiling source code, for all scales of software projects »
Powerful built-in computational, logical, and graphical algorithms to create unique applications like Wolfram|Alpha »
Write modular, reusable packages and work with version control systems »
Everything, including programs and data, is an expression, making it easy to develop a system in components
Support for a literate programming style
Develop on any scale, from high-functionality single-line programs to large projects with tens of thousands of lines of code »
Fully automated dynamic interface creation makes building applications quick and easy (see thousands of examples in the Wolfram Demonstrations Project) »
Evaluate examples directly in the documentation rather than copying and compiling them
Powerful string manipulation and pattern matching functions »
Deploy code to a web server with webMathematica »
Next:
Why Choose Mathematica

Key Capabilities

Why Choose Mathematica

Ways to Use

Compare Mathematica to your current tools. Do they have these advantages?
Test sections of code as they are written more easily than with compiled languages
Built-in serialization for Mathematica expressions makes it easy to save and restore the state of your system
Get your work done with a small fraction of the code required by other tools
Generate optimized C code automatically with built-in functions »
Competitor note: Matlab requires the purchase of an additional toolbox to generate C code
Choose from procedural, functional, and rule-based programming paradigms as needed »
Competitor note: Matlab uses a predominantly procedural language
Mix code, documentation, test cases, examples, and calculations related to your program in a single highly organized notebook document, using sections, subsections, and text cells to keep your programs in order »
Competitor note: Other applications and languages do not use such structured documents
Logical and consistent syntax, human-readable language, and the ability to write equations in traditional forms make it easy to write, modify, and understand code »
Competitor note: Languages like C cannot use traditional mathematical notation

Free-form linguistic input produces immediate results without the need for syntax »
Competitor note: Unique to Mathematica
Rely on the highest-quality built-in numeric and symbolic calculations with a wide range of functions for mathematics, science, and engineering, using automatic algorithm selection to choose the most appropriate method for each task »
Competitor note: Languages like Python lack computational abilities
Execute compiled functions in parallel to boost performance on multicore machines »
Competitor note: Other systems require purchasing additional software for parallel computing
Take advantage of Wolfram Workbench, an advanced IDE with powerful development tools »
Competitor note: Matlab's IDE lacks many basic features
Next:
Ways to Use

Key Capabilities

Why Choose Mathematica

Ways to Use

Build large-scale production systems using Mathematica's unique mix of computational ability, performance, and rapid development
Evaluate and improve your architecture before writing code, or test the performance of sections of the code before the application is fully implemented
Use CUDA architecture to calculate game physics of debris or fluids, or to speed up applications in other fields that demand high performance
Explore software evolution or vulnerabilities interactively, and visualize relationships between code modules with built-in graph modeling functions
Automatically turn descriptions of models into C or Fortran code

Plot running time to see how it scales with input size
Automate the coding process, dramatically reducing time to delivery
Create quick prototypes or computationally complex infrastructure
Next:
Key Capabilities

SOFTWARE ENGINEERING CASE STUDIES

Case Studies

Some Major Organizations Using Mathematica

Free White Paper

A guide to software engineering best practices for large-scale software development

Download Now

User Stories

Financial Data on Demand: Building an Interactive Web Service with Mathematica

"The amount of code that's required to produce the same amount of work is a fraction of the amount of code that we would have to write with other tools, so the time to delivery is much faster."

—Alan Savoy

Technical Manager and Architect, nGenera Corporation

Efficient Coding Takes Off: Flight Simulation with Mathematica

"I think software in engineering and math should not be done like it is usually done in other programming languages. Mathematica is much richer, and there are more possibilities."

—Yves Papegay

INRIA

Empowering Data-Driven Decisions: Data Mining and Analysis with Mathematica