Apps similar to GNU Octave include R (programming language), which is free and open source. Other options are Jupyter, MATLAB, Mathematica and SageMath. There's no shortage of Numerical Computation Software like GNU Octave, with more than 50 alternatives for Windows, Linux, Mac, the web and Android.
Open source framework for numerical computations and advanced statistical analysis, featuring nonlinear curve fitting, ODE solving, 1D/2D publication-quality visualization, Fourier and wavelet transforms, intuitive syntax, and namespace-based code organization for research.
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Collimator is a modeling and simulation platform for engineers to design and test complex, mission critical systems in a way that is reliable, secure, fast and intuitive.
A fresh (experimental) look at Scilab 6.x. Contribute to rdbyk/balisc development by creating an account on GitHub.
With Euler Math Toolbox, you experience mathematical computations, numerical as well as symbolic, with ease and beauty.
Nsp is a GPL Scientific Software Package. It is based on a complete new rewrite of ScilabGtk.
Xcos is a graphical editor to design hybrid dynamical systems models. Models can be designed, loaded, saved, compiled and simulated.
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DomainMath IDE is an open source GUI front-end application for GNU Octave.
Axiom is a general purpose Computer Algebra system. It is useful for research and development of mathematical algorithms. It defines a strongly typed, mathematically correct type hierarchy. It has a programming language and a built-in compiler.
Singular is an open source computer algebra system for polynomial computations, with special emphasis on commutative and non-commutative algebra, algebraic geometry, and singularity theory.
The Accord.NET Framework is a .NET machine learning framework combined with audio and image processing libraries completely written in C#. It is a complete framework for building production-grade computer vision, computer audition, signal processing and statistics applications...
PDL ("Perl Data Language") gives standard Perl the ability to compactly store and speedily manipulate the large N-dimensional data arrays which are the bread and butter of scientific computing.
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