This is a list of Packages available for GNU Octave.
For a collection of high quality packages see Octave Forge.
Feel free to add your package.
GeoPDEs is an open source and free package for the research and teaching of Isogeometric Analysis, written in Octave and fully compatible with Matlab.
The GeoPDEs package provides a common and flexible framework for implementing and testing new isogeometric methods for the solution of partial differential equations.
FEATool - Finite Element Analysis Toolbox
FEATool Multiphysics is a commercial and proprietary Octave and Matlab FEM toolbox for modeling and simulation of physics and engineering applications with the finite element method. FEATool features an easy to use GUI and fully integrated CAD, geometry tools, automatic grid generation and solvers.
GNU Octave Redis client
Libraries for support vector machine / machine learning classification, regression, and distribution estimation problems. C++, with an interface to Octave.
The Large Time-Frequency Analysis Toolbox®. Please note, this package is available on Octave Forge too, but it has its own website.
An extension for MATLAB® or GNU/octave to access sqlite3 databases
A set of graph/networks analysis functions in Octave
- Main article: Symbolic package
- Main article: sci cosim
Scilab co-simulation package
The Shogun Machine Learning Toolbox®
The VLFeat open source library implements popular computer vision algorithms including HOG, SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, SLIC superpixels, and quick shift.
The epanet-octave open source library is a wrapper, including some scripts, to call Epanet Toolkit. Functions are adapted to improve its usability in GNU Octave (e.g. allowing vectors as EpaNet Toolkit function inputs). Still under development.
Collection and a development kit of matlab mex functions for OpenCV library
Gaussian processes for machine learning
- Webpage of the author
- Downloads or pkg installation: https://bitbucket.org/KaKiLa/gpml/downloads/
Kalman filtering and smoothing
Functional data analysis