A Jupyter kernel for MATLAB.





GitHub Stars



Last Commit

8mos ago










A Jupyter kernel for MATLAB

|Python35| |MATLAB2016b| |PyPI|

.. |Python35| image:: .. |MATLAB2016b| image:: .. |PyPI| image:: :target:

.. contents:: :local:

This kernel requires Jupyter with Python 3.5+, and the MATLAB engine for Python R2016b+ (this release provides a much better completion API), which needs to be installed first. Note that additionally, Python versions not supported by the engine are likewise not supported by the kernel.

.. _Jupyter: .. _MATLAB engine for Python:


As usual, install using pip:

.. code-block:: sh

$ pip install imatlab # from PyPI $ pip install git+ # from Github

Then, register the kernelspec with

.. code:: sh

$ python -mimatlab install

In the absence of administrator rights, the --user flag should be added to all of these commands.


.. code:: sh

Notebook (in the notebook interface, select Matlab from the 'New' menu):

$ jupyter notebook

or QtConsole:

$ jupyter qtconsole --kernel imatlab

or terminal:

$ jupyter console --kernel imatlab

(Note that imatlab intentionally does not declare a dependency on any Jupyter client, as it can be used with any one of them individually. In practice, this means that at least one of jupyter-notebook, jupyter-qtconsole, or jupyter-console need to be installed in addition to imatlab.)

Inline graphics

MATLAB figures can be displayed in native MATLAB windows (the default), or (when using the notebook) as inline images. The kernel can natively display static images, or use Plotly_ to generate interactive JavaScript figures.

.. _Plotly:

The exporter is set by calling the imatlab_export_fig function, which is automatically added to the MATLAB path when the kernel is running. The following settings are possible:

.. code:: matlab

imatlab_export_fig('') % Native windows. imatlab_export_fig('fig2plotly') % Plotly figures. imatlab_export_fig('print-png') % Static png figures. imatlab_export_fig('print-svg') % Static svg figures. imatlab_export_fig('print-jpeg') % Static jpeg figures.

This call must be issued before the first figure is shown. Note that the non-native exporters will call set(0, 'defaultfigurevisible', 'off') to prevent the window from being briefly displayed, whereas using native windows turns the default figure visibility back 'on'.

Plotly exporter

Plotly inline graphics in the notebook depend on plotly.py_ (>=1.13) and the
`Plotly MATLAB API`_ (>=2.2.7), which can be installed as follows:

.. _Plotly MATLAB API:

1. Run ``pip install plotly`` or ``pip install --user plotly``.
2. Clone `plotly/MATLAB-Online`_ or download it as a `zip file`_.
3. Recursively add the resulting extracted folders to the MATLAB search path
   using ``addpath(genpath(<Plotly MATLAB API path>));``.  Either put such a
   call in your ``startup.m``, or then call ``savepath;`` to save the path.
4. In MATLAB, copy the required JavaScript files and initialize the

   .. code:: matlab

      try, signin; catch, saveplotlycredentials('', ''); end;

   (If your version of MATLAB uses an old OpenSSL, you may need to use HTTP
   instead of HTTPS.)

At the beginning of each notebook, you may then call
``imatlab_export_fig('fig2plotly')`` to use automatically Plotly inline
graphics (no further calls to the Plotly API are required; in particular,
ignore the output from ``getplotlyoffline``).

.. _plotly/MATLAB-Online:
.. _zip file:

Static exporters

The static exporters (png, svg, and jpeg) do not required additional dependencies.

The default size of exported figures, as well as whether to display figures before exporting them, should be set using standard figure properties (set(0, 'defaultpaperposition', [left, bottom, width, height]);, etc.).

Custom exporters

For further customization, you may override the ``imatlab_export_fig`` function
(the default version is provided by ``imatlab`` and added to the MATLAB path).
This function is called with no arguments after each notebook cell is executed,
while the current directory is temporarily switched to a temporary folder; this
function should return a cell array of filenames with ``.html``, ``.png``, or
``.jpg``/``.jpeg`` extension.  The corresponding files, which should have been
created by the function, will be loaded into the notebook.

Environment variables

   If this environment variable is set to a valid MATLAB identifier, the kernel
   will attempt to connect to the shared engine with that name.  If it is set
   to another non-empty value, it will connect to any existing shared engine.

   If this environment variable is set, the engine's working directory will be
   changed to match the kernel's working directory.

``IMATLAB_CONNECT`` needs to be set outside of MATLAB (as it is checked before
the connection to the engine is made).  Other environment variables can be set
either outside of MATLAB (before starting the kernel) or from within MATLAB
(using ``setenv``).

Asynchronous output

A construct such as ``1, pause(1), 2`` will output ``1`` and ``2`` with a one
second interval on Linux and OSX, but together after a one second wait on
Windows.  PRs improving Windows support are welcome.

Asynchronous output using ``timer`` objects seem to be completely unsupported
by the MATLAB engine for Python.

MATLAB debugger

The MATLAB debugger is cleared (``dbclear all``) before each execution, as
interactive input is not supported by the engine API.

Differences with the Calysto MATLAB Kernel

- The completion system is much more robust, by relying on the new API
  available in MATLAB 2016b.
- History is read from and written to MATLAB's own ``History.xml``, and thus
  shared with standard MATLAB sessions.  Note that if the file does not exist
  (e.g. if the **don't save history file** option is set, or in a console-only
  setup), history will not be reloaded into later sessions.  (A PR for loading
  ``history.m`` instead would be welcome; it would need to properly parse
  multiline inputs in that file.)
- Synchronous output is supported on Linux and OSX (see above).
- There is no magics systems, as MATLAB already provides many functions for
  this purpose (``cd``, ``edit``, etc.).
- Inline graphics can be based on ``plotly``, and thus interactive.


Run tests with ``python -munittest`` or pytest_ after installing the kernel and

.. _pytest:
.. _jupyter_kernel_test:

Rate & Review

Great Documentation0
Easy to Use0
Highly Customizable0
Bleeding Edge0
Responsive Maintainers0
Poor Documentation0
Hard to Use0
Unwelcoming Community0
No reviews found
Be the first to rate


No alternatives found


No tutorials found
Add a tutorial