GNU Octave is a high-level interpreted language, primarily intended for numerical computations. It provides capabilities for the numerical solution of linear and nonlinear problems, and for performing other numerical experiments. It also provides extensive graphics capabilities for data visualization and manipulation. GNU Octave is normally used through its interactive interface (CLI and GUI), but it can also be used to write non-interactive programs.
The GNU Octave language is quite similar to Matlab so that most programs are easily portable.

The GNU Octave distribution includes a 1000+ page Texinfo manual. Access to the complete text of the manual is available via the doc command at the GNU Octave prompt.

Octave Forge is a collection of packages for GNU Octave, something similar to the Matlab toolboxes. When talking about the two projects at the same time, GNU Octave is usually referred to as Octave core (or just "core"). Octave Forge also serves as a test bed for code that may eventually end up in the core, and distributes binaries for systems with a lack of developers tools (mainly Windows).

A huge number of people ranging from students to researchers involved in various fields such as statistics,Machine Learning, data analytics, etc. Universities use it for research and teaching, companies of all sizes for development and individuals for certain private purposes. See Who Uses Octave? for more clarity.

Discussions about writing the software that would eventually become Octave started in about 1988 with James B. Rawlings and John W. Eaton at the University of Texas. John W. Eaton is the original author of Octave, starting full-time development in February 1992. He is still the primary maintainer. The community of users and developers has in addition contributed some code and fuels the discussion on the mailing lists help@octave.org (user forum), maintainers@octave.org (development issues). Since 2011, GNU Octave regularly participates in Summer of Code events as a mentor organisation. As part of those events, several students contributed to Octave by helping in removal of bugs and development of new features.

Octave's name has nothing to do with music. It is named after Octave Levenspiel, a former professor of John who was famous for his ability to do quick back-of-the-envelope calculations. You can hear John pronounce the name "Octave" a few times in this video. We hope that GNU Octave will help perform computations with the same ease as Dr. Levenspiel.

Octave became GNU Octave in 1997 (beginning with version 2.0.6). This meant agreeing to consider Octave a part of the GNU Project and support the efforts of the FSF. A big part of this effort is to adhere to the GNU coding standards and to benefit from GNU's infrastructure (e.g. code hosting and bug tracking). Additionally, Octave receives sponsorship from the FSF's Working Together fund. However, Octave is not and has never been developed by the FSF.

Octave is free software and does not legally bind you to cite it. However, we have invested a lot of time and effort in creating GNU Octave, and we would appreciate if you would cite if you used. To cite GNU Octave in publications use:

Run citation at the Octave prompt for details on how to best cite the Octave version you are running. Certain Octave packages also have recommended citations in which case use citation package_name.

Note that there are two reasons for citing the software used. One is giving recognition to the work done by others which we have already addressed to. The other is giving details on the system used so that experiments can be replicated. For this, you should cite the version of Octave and all packages used (you can get this information using the ver command), as well as any details of your setup as part of your Methods. In addition, you should make your source available as well. See How to cite and describe software for more details and an in depth discussion for the same.

Besides this wiki, the GNU Octave distribution includes a 1000+ page Texinfo manual (PDF). Access to the complete text of the manual is available via the doc command at the GNU Octave prompt. If you have problems using this manual, or find that some topic is not adequately explained, indexed, or cross-referenced, please report it on http://bugs.octave.org.

The following steps have been the solution to several bug reports and help requests. Please try them before asking for further support. If nothing below helps, please give us the following information:

By default Octave is set to pass its screen output through a pager (usually the default pager is "less") which allows things such as navigating through the output with arrow keys or searching for text or regular expressions within the output. The pager only displays the output after it's finished receiving it, so when it is active you'll not be able to see anything until your script has terminated. To change this behavior temporarily or permanently you may want to use one of the options described in the manual.

When I try plotting from a script, why am I not seeing anything?[edit]

If you are running an Octave script that includes a plotting command, the script and Octave may terminate immediately. So the plot window does show up, but immediately closes when Octave finishes execution. Alternatively, if using fltk, the plot window needs a readline loop to show up (the time when Octave is sitting around doing nothing waiting for interactive input).

A common solution is to put a pause command at the end of your script.

Sound input from a sound card and output to a sound card is fully supported since Octave 4.0.0 for all platforms. If you have problems with the audio I/O functions using Octave 4.0.0 or a newer version, please report them on the bug tracker.

The latest stable version is 5.2.0. Be aware that you may still have an older version due to whatever distribution method you are using. To get a newer stable version for your system see the following as in accordance to your Operating system: GNU/Linux, macOS, or Windows.

If you refer to the latest Mercurial revision, please specify the changeset ID not the revision number, e.g. the output of hg summary or hg id. Changeset IDs are globally unique across all repos.

If your problem still persists with the "latest version", then please report a bug or ask for help at help@octave.org. Otherwise, don't be surprised if volunteers are less inclined to help you with a problem that only exists in an older version of Octave and is already fixed in a newer version.

Floating-point arithmetic is an approximation in binary to arithmetic on real or complex numbers. Just like you cannot represent 1/3 exactly in decimal arithmetic (0.333333... is only a rough approximation to 1/3), you cannot represent some fractions like 1/10{\displaystyle 1/10} exactly in base 2. In binary, the representation to one tenth is 0.00011¯b{\displaystyle 0.0{\overline {0011}}_{b}} where the bar indicates that it repeats infinitely (like how 1/6=0.16¯d{\displaystyle 1/6=0.1{\overline {6}}_{d}} in decimal). Because this infinite repetition cannot be represented exactly with a finite number of digits, rounding errors occur for values that appear to be exact in decimal but are in fact approximations in binary, such as for example how 0.3 - 0.2 - 0.1 is not equal to zero.

In addition, some advanced operations are computed by approximation and there is no guarantee for them to be accurate, see Table-maker's dilemma for further references. Their results are system-dependent.

This isn't a bug that is limited to GNU-Octave & it happens with any program that uses IEEE 754 floating-point arithmetic. To be fair, IEEE 754 also specifies decimal floating-point arithmetic, which has never seen wide adoption. The reason why Octave and other programs using IEEE 754 binary floating-point numbers is that they are fast, because they are implemented in hardware or system libraries. Unless you are using very exotic hardware, Octave will use your computer's processor for basic floating-point arithmetic.

Another approach to deal with rounding errors is interval arithmetic with the Interval package or symbolic computations with the Symbolic package. These approaches are likely to be slower, since not all operations can be performed on Hardware like pure floating-point arithmetic.

If the Qt graphics toolkit is used and "plot" is used for the first time, the fontconfig scanner searches the font directory to build a font cache. This can take up to 3min on slow CPUs. See #45458

Error message about invalid call to script or invalid use of script in index expression[edit]

If Octave shows an error message about invalid call to script .../close.m or invalid use of of script .../close.m in index expression, it means that you have created a script called close.m that is overriding the built-in Octave function close. Octave functions and scripts share the same global namespace. It is best to avoid creating your own scripts or functions that have the same name as an Octave function as to avoid this error regarding the invalid call to script or invalid use of script in index expression.

If I write code using Octave do I have to release it under the GPL?[edit]

The answer depends on precisely how the code is written and how it works:

Code written entirely in the scripting language of Octave (interpreted code in .m files) may be released under the terms of whatever license you choose.

Code written using Octave's native code interface (also known as a .oct file) necessarily links with Octave internals and is considered a derivative work of Octave. Therefore it must be released under terms that are compatible with the GPL.

The MEX file may not use any bindings that are specific to Octave, it has to use the MEX interface only. In other words, it should be possible in principle to use the MEX file with other programs that implement the MEX interface (e.g., Matlab). For example including an Octave header file or calling an Octave function within the MEX file, that is not related with Octave's implementation of the MEX interface make the MEX file a derivative work of Octave and has therefore to be released under terms that are compatible with the GPL.

The MEX file may not be distributed together with Octave in such a way that they effectively create a single work. For example, you should not distribute the MEX file and Octave together in a single package such that Octave automatically loads and runs the MEX file when it starts up. There are other possible ways to effectively create a single work.

Code that embeds the Octave interpreter (e.g., by calling the octave_main function), or that calls functions from Octave's libraries (e.g., liboctinterp, liboctave, or libcruft) is considered a derivative work of Octave and therefore must be released under terms that are compatible with the GPL.

No. Instead of asking us to change the licensing terms for Octave, we recommend that you release your program under terms that are compatible with the GPL, this way the free software community can be benefited from your work the same as you were/have benefited from the work of all the people who have contributed to Octave.

No. The original reason for implementing the MEX interface for Octave was to allow Octave to run free software that uses MEX files (the particular goal was to run sundialsTB in Octave). The intent was to liberate that software from Matlab and increase the amount of free softwares available to Octave users & not to enable people to write proprietary code for Octave. For the good of the community, we strongly encourage users of Octave to release the code they write for Octave under terms that are compatible with the GPL.

That does not apply to GNU Octave, therefore the usage is in general prohibited. It should suffice — although interpretations of this vary — to contact the author directly to send you the code personally (maybe released under a free license), or download the code from the author's own website, if available. Some examples of letters/email sent to authors for that purpose.

How to install Octave on Android OR What is the Octave app available in the Google Play store?[edit]

Octave currently runs on GNU/Linux, macOS, and Windows. It should be possible to make Octave work on other systems as well. If you are interested in porting Octave to other systems, please contact the maintainers development mailing list maintainers@octave.org.

Octave runs on any platform you can compile it on. Binary distributions exist for GNU/Linux, macOS, and Windows. To work fully functional, Octave requires the used platform to support the underlying numerical libraries like BLAS, LAPACK, SuiteSparse, etc., and for plotting OpenGL or gnuplot.

No. The development is done primarily with GCC, so you may hit some incompatibilities. Octave is intended to be portable to any standard conforming compiler (for example clang is known to work as well). If you face any difficulties that you think are bugs, please report them to the bug tracker, or ask for help on the help@octave.org mailing list.

Do not do it! Really, there is no reason to do this. Octave has many packages for different needs and is unlikely that you need all of them. You either have a small set of required packages, in which case
you know them by name; or you want them all "just because", in which case you don't really need them.

The common misconception is that the more packages one has installed and loaded, the more complete and powerful its Octave installation will be. However, in the same way one would never install all perl modules, ruby gems, python packages, and C++ libraries (because it simply makes no sense), one should not install all Octave packages.

Packages should be installed and loaded selectively. Note that some packages are meant to shadow core functions changing the way Octave works, and that different packages can have different functions with the same name leading to unpredictable results.

If you really really really want to do load all packages, you can with the following:

## WARNING: loading all packages is probably not the solution you are looking for.cellfun(@(x)pkg("load",x.name),pkg("list"));

I have installed a package but still get a "foo undefined" error?[edit]

You have probably forgotten to load the package. Use pkg load package-name to load it. Most packages are no longer loaded automatically to avoid surprises. See reasoning on related FAQ how do I install all Octave packages. If you want a specific package to be loaded by default at startup, consider adding the pkg load command on your .octaverc file.

I cannot install a package. Octave complains about a missing mkoctfile.[edit]

You should normally use your distribution's packages. For Debian and Fedora, Octave package foo will be a deb or rpm called octave-foo, and you should install that instead using apt or yum.

If you really need to build Octave packages from source to install them, you'll need mkoctfile. Most distributions split Octave into several packages. The script mkoctfile is then part of a separate package:

When Octave starts, it runs the file ~/.octaverc (in your user's home directory). If you want Octave to automatically load a package, simply add a pkg load pkg-name command to it. If the files does not exist, create it.

If you do this, remember that other people may not have Octave configured to load packages at startup. Therefore, if you write code for others, remember that your programs still need to load the packages they require.

To execute a script from within Octave, just type its name without the .m extension. Thus, if you have a script called foo.m, just type foo from within the Octave command prompt to execute it. You have to make sure that the script is in your current working directory or in Octave's load path. Type pwd to get the current working directory or type path to see which paths belong to Octave's load path. The current working directory is referred to as "." in the output of path.

If the script name has characters that are not valid for an Octave identifier, or if you do not want to use addpath to add the script's location to the current path, you can use the run function instead:

run("Script Name With Spaces.m")run("/opt/local/foo.m")

An alternative is to run the script from outside Octave by calling Octave from your operating system shell. Unlike calling the script from inside Octave, this also allows you to pass arguments from the shell into the script, which the script can access using the argv command:

$ octave the-script.m arg1 arg2

In a Unix environment, if the script has a shebang (e.g. #!/usr/bin/octave) and executable permissions, you can call it like any other Unix program with arguments:

How do I create a plot without a window popping up (plot to a file directly)?[edit]

Octave's default numerical type is IEEE 754 binary64, a.k.a. "double" or "hardware floats". This type has a precision of 53 bits or about 16 decimal digits. It is supported by each modern computer hardware, so it is really fast. This type is assumed throughout for Octave's calculations. If more precision was required, one can obtain a "few bits more" by using integer types, e.g. uint64, but in general one cannot expect more precision from any fast numerical software. Just to visualize "how big" those numerical limits are, consider the following table:

Limits of some of Octave's data types obtained by intmax and flintmax.

intmax ("uint64")

18,446,744,073,709,551,615

2^64-1

intmax ("int64")

9,223,372,036,854,775,807

2^63-1

flintmax ("double")

9,007,199,254,740,992

2^53

flintmax ("single")

16,777,216

2^24

When working with other types than "double" in Octave, one has to make sure, that the first operand is converted to the desired type:

Notice the difference, in the first line the addition within the brackets is performed using double precision, therefore the result gets "truncated" to the maximum possible value without a warning. The third line uses throughout uint64 precision.

Consider carefully if your problem really needs more precision. Often if you're running out of precision the problem lies fundamentally in your methods being numerically unstable, thus more precision will not help you here.

If you absolutely must have more precision, you're at present better off using a CAS instead of Octave. However, CAS or symbolic computations must be implemented in software which makes it much slower than hardware floats. An example of such a CAS is Sage or have a look at Octave's Symbolic package.

You can't. Matlab P-files (files with a .p file extension), also known as P-code, are obfuscated files that cannot be run outside of Matlab itself. The original source Matlab m-files that were used to generate these P-files should be used in Octave instead.

There are no plans to support running P-files produced by Matlab in Octave.

In addition to consulting Octave's source for the precise details, you can read the Octave manual for a complete high-level description of the algorithm that Octave uses to decide how to solve a particular linear system, e.g. how the backslash operator A \ x will be interpreted. Sections Techniques Used for Linear Algebra and Linear Algebra on Sparse Matrices from the manual describe this procedure.

You are probably looking for the function lookfor. This function searches the help text of all functions for a specific string and returns a list of functions. Note that by default it will only search the first line of the help text (check help lookfor at the octave prompt for more). The following example helps to find the function to calculate correlation coefficient in a matrix:

Also, there's a high chance that the function name has a suggestive name, and so you can try auto-completion to get some hints. For the previous example, typing corr at the octave prompt followed by pressing the Tab ↹-Key twice would suggest the following:

Differences between Octave and Matlab

Yes! It was officially released with Octave 4.0.0. It was also available since version 3.8.0 as an experimental feature (use the --force-gui option to start Octave).

Why did you create yet another GUI instead of making one that already exists better?[edit]

The previously existing GUIs were not part of Octave itself. The integration within Octave was rather bad, as all of them treated Octave as a foreign black box and used pipes for communication. This approach is bound to fail with each new version of Octave, as any fix would only be temporary. For historical reasons and to honor the approaches, a short list of previous GUIs for Octave:

QtOctave was a great, beautiful, and very useful tool which is now abandoned and incompatible with newer versions of Octave. We are thankful to its developers to make it free software so we could reuse large chunks of it for what is now the Octave GUI.

Quint was a project for an Octave GUI that actually tried to do it right. Eventually it was merged into the Octave repository and is no longer a separate project. Also, many bits from QtOctave were reused in the GUI.

The development of Octave is committed to being both compatible with Matlab and adding additional features. Toward those ends, the developers decided to introduce a native OpenGL backend that supports Matlab handle graphics and its uicontrols. Starting with the 3.8 release, Octave uses OpenGL graphics by default (with FLTK widgets in Octave 3.8 and Qt widgets in Octave 4.0 and later).

Be around. Be social. Participate in our mailing lists help@octave.org and maintainers@octave.org. Find things about Octave you don't like, and start thinking about how to fix them. Many people who now contribute to Octave first spent several years helping in the mailing list before they started to delve into the code. A good way to learn Octave is to understand the problems other people are having with it, so being helpful in the mailing lists not only helps Octave as a whole, but it also prepares you to be a better Octave contributor.

If you feel ready to dive right into the code, read the Developers wiki page or start here. But do not send an email to the mailing lists listing your skills and offering to help. We won't just suggest things for you to do. We lack volunteers and we do need your help, but because of that, we also lack the time to provide good guidance and mentoring. If there is a specific short-term project you would like to work on, say so, and just do it. Then ask for help or advice when you're doing it. It is a lot more important that you do something that you're actually interested on than something we suggested because it only matches your skills.

We also need help with this wiki and the manual. These are also important tasks. The documentation is easy to patch, and the help text for individual functions even more so. Editing this wiki is even easier.

Accurate bug reporting is also very useful. Find and report bugs, making an attempt to diagnose them. Eventually, you will also know how to fix them. If you want to help with bug reports or patches, subscribe to the bug tracker mailing list. You'll get updates on all bug activity, and you can jump in when you see
something you can help with.