Altair Compose
Altair Compose is used to perform a variety of math & linear algebra (including matrix analysis and differential equations), filter signals, fit polynomials through data, approximate or check results from simulation software, perform optimization.
Some of the top features or benefits of Altair Compose are: Versatile Programming Environment, Integrated Math Engine, Compatibility, Visualization Capabilities, and Model-Based Design. You can visit the info page to learn more.
Altair Compose Alternatives & Competitors
The best Altair Compose alternatives based on verified products, community votes, reviews and other factors.
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/gnu-octave-alternativesGNU Octave is a programming language for scientific computing.
Key GNU Octave features:
Free and Open Source MATLAB Compatibility Extensive Documentation Flexible Integration
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/matlab-alternativesA high-level language and interactive environment for numerical computation, visualization, and programming.
Key MATLAB features:
Versatility Built-in Functions User-Friendly Interface Excellent Visualization
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Try for freeTurn your inbox into a kanban board.
Key Kanmail features:
Unified Inbox Kanban Style Organisation Cross-platform Availability Privacy Focus
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/nsp-tumbi-alternatives
Nsp is a GPL Scientific Software Package. It is based on a complete new rewrite of ScilabGtk.
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/scilab-alternativesScilab Official Website. Enter your search in the box aboveAbout ScilabScilab is free and open source software for numerical . Thanks for downloading Scilab!
Key Scilab features:
Open Source Extensive Mathematical Functionality Toolboxes and Modules Cross-Platform Support
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/nelson-alternativesNelson is an array programming language providing a powerful open computing environment for engineering and scientific applications using modern C/C++ libraries (Boost, Eigen, โฆ) and others state of art numerical libraries.
Key Nelson features:
Simplicity Domain-Specific Open Source Lightweight
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/wolfram-mathematica-alternatives
Mathematica has characterized the cutting edge in specialized processingโand gave the chief calculation environment to a large number of pioneers, instructors, understudies, and others around the globe.
Key Wolfram Mathematica features:
Comprehensive Functionality High-Level Programming Language Integrated System Strong Community & Support
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/freemat-alternativesDocumentation has been migrated to doxygen. A number of improvements have been made to the JIT back end. 64-bit on all platforms! It's not a long list, but given the nearly 2 years since the last release, 4.
Key Freemat features:
Cost Compatibility Cross-Platform Community Support
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/julia-alternativesJulia is a sophisticated programming language designed especially for numerical computing with specializations in analysis and computational science. It is also efficient for web use, general programming, and can be used as a specification language.
Key Julia features:
High Performance Ease of Use Strong Support for Mathematical Computing Multiple Dispatch
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/forscape-alternativesScientific computing language. Contribute to JohnDTill/Forscape development by creating an account on GitHub.
Key Forscape features:
WYSIWYG Math Editing Open Source and Free Integrated Language and Editor Static Typing with Type Inference
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/openmatrix-language-oml-alternatives
The OpenMatrix Language provides all scientists, technologists, engineers, & mathematicians (i.e., people in STEM fields) with open access to a powerful matrix-based computational engine.
Key OpenMatrix Language (OML) features:
Open Source MATLAB Compatibility Numerical Computation Rich Libraries
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/balisc-alternativesprovides a fresh (experimental) look at Scilab 6.x, i.e. it.
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/chapel-alternativesChapel is a programming language designed for productive parallel computing at scale.
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/scicoslab-alternatives
a software package providing a multi-platform environment for scientific computation.
Key ScicosLab features:
Open Source Simulation Capabilities Cross-Platform Support GUI-Based Modeling
