Category:Packages: Difference between revisions
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* [https://octave.org/doc/latest/Creating-Packages.html Octave manual - Creating packages] | * [https://octave.org/doc/latest/Creating-Packages.html Octave manual - Creating packages] | ||
* [https://github.com/gnu-octave/pkg-example Octave package example] | * [https://github.com/gnu-octave/pkg-example Octave package example] | ||
* [ | * [[:Category:User Codes]] | ||
[[Category:Contents]] | [[Category:Contents]] | ||
Revision as of 01:32, 17 January 2022
Octave Forge logo.
- This is a list of Packages and Codes available for GNU Octave.
Octave packages extend the functionality of GNU Octave by particular useful features and can be developed and distributed by anyone. Currently there are two collections of Octave packages:
- Octave Packages
- Octave Forge (legacy)
About Octave packages
The format and requirements of Octave packages is specified in the GNU Octave manual. There is an example package as well.
Octave packages can be installed by the pkg tool. The following two examples demonstrate how to install the example package (1.) after downloading the release tarball and (2.) directly from an URL.
pkg install pkg-example-1.0.0.tar.gzpkg install https://github.com/gnu-octave/pkg-example/archive/1.0.0.tar.gz
If you created your own package, it can be added to the Octave Package index.
Existing packages of the Octave Forge index can be installed with the -forge flag, for example:
pkg install -forge image
The Octave Forge index is a legacy project and does not accept new packages.
Free and open-source
Octave packages
All packages can be installed by Octave's pkg function as described above and are listed in Octave Packages.
| Name | Description | Links |
|---|---|---|
| fda | Functional data analysis. | https://gitlab.com/kakila/fda/ |
| MPI | Octave bindings for basic Message Passing Interface (MPI) functions for parallel computing. | https://github.com/carlodefalco/octave-mpi |
| octsympy | An implementation of a symbolic toolbox using SymPy. | https://github.com/cbm755/octsympy https://octave.sourceforge.io/symbolic |
| Packajoozle | An experimental alternative package manager for Octave. | https://github.com/apjanke/octave-packajoozle |
| Tablicious | Matlab-compatible table, datetime, and categorical data types (Like "pandas for Octave"). | https://github.com/apjanke/octave-tablicious |
| Websockets | The Websockets package is a simple implementation of a websocket client for GNU Octave. It contains the elemental functions to communicate with a websockets server. | https://github.com/gnu-octave/octave-websockets |
| Pythonic | The Pythonic package provides a Python language binding for Octave, to allow any Python package to be loaded and used directly, with automatic translation from Octave to Python data types. | https://gitlab.com/mtmiller/octave-pythonic |
Custom installation
Those codes have to be installed as described on the respective website.
| Name | Description | Links |
|---|---|---|
| GeoPDEs | 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. | https://github.com/rafavzqz/geopdes/ https://rafavzqz.github.io/geopdes/ |
| go-redis | Redis client | https://github.com/markuman/go-redis |
| LIBSVM, LIBLINEAR | Libraries for support vector machine / machine learning classification, regression, and distribution estimation problems. C++, with an interface to Octave. | https://www.csie.ntu.edu.tw/~cjlin/libsvm/ https://www.csie.ntu.edu.tw/~cjlin/liblinear/ |
| ltfat | The Large Time-Frequency Analysis Toolbox®. | https://ltfat.github.io/ |
| mex-sqlite3 | Access to sqlite3 databases. | https://github.com/rmartinjak/mex-sqlite3 |
| octave-network-toolbox | A set of graph/networks analysis functions in Octave. | https://aeolianine.github.io/octave-networks-toolbox/ |
| sci cosim | Scilab co-simulation package. | https://github.com/amromanov/sci_cosim |
| shogun | The Shogun Machine Learning Toolbox®. | https://github.com/shogun-toolbox/shogun |
| vlfeat | 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. | https://github.com/vlfeat/vlfeat https://www.vlfeat.org/ |
| epanet-octave | 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. | https://forja.cica.es/projects/epanet-octave/ |
| mexopencv | Collection and a development kit of mex functions for OpenCV library. | https://github.com/kyamagu/mexopencv/ https://kyamagu.github.io/mexopencv/ |
| gpml | Gaussian processes for machine learning. | https://gitlab.com/hnickisch/gpml-matlab/ http://gaussianprocess.org/gpml/code/matlab/doc/ |
| ekfukf | Kalman filtering and smoothing. | https://github.com/kakila/ekfukf/ |
Commercial
| Name | Description | Links |
|---|---|---|
| FEATool | FEATool Multiphysics is a commercial and proprietary 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. | https://www.featool.com/ |
See also
Pages in category "Packages"
The following 11 pages are in this category, out of 11 total.