RISE: "Live" Reveal.js Jupyter/IPython Slideshow Extension
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Latest commit 4d18741 Aug 9, 2016 @damianavila committed on GitHub Merge pull request #214 from damianavila/damianavila-patch-7
Another one



Reveal.js - Jupyter/IPython Slideshow Extension, also known as live_reveal



From the most simple to the most complex one, you have 3 options:

1 - Using conda (recommended):

conda install -c damianavila82 rise

2 - Using pip (less recommended):

pip install RISE

and then two more steps to install the JS and CSS in the proper places:

jupyter-nbextension install rise --py --sys-prefix

and enable the nbextension:

jupyter-nbextension enable rise --py --sys-prefix

3 - The old way (are sure sure you want to go this path?):

To install this nbextension, simply run python setup.py install from the RISE repository (please use the latest tag available or try master if you want).

And then the same two step described in the pip-based installation:

jupyter-nbextension install rise --py --sys-prefix


jupyter-nbextension enable rise --py --sys-prefix

Conclusion: If you use conda, life will be easy ;-)

NOTE: in alll the options available the --sys-prefix option will install and enable the extension in the current environment, if you want a --user based or a --system based installation just use those option instead in the above commands.

RISE talk

My old talk about RISE at SciPy 2014 (click on the image to see it):



Coming soon... in fact it is on master but I need to explain how to use it ;-)


As you know... we love Jupyter/IPython and we like Reveal.js too.

Previously, we developed a "converter" for the nbconvert library to export a ipynb to a STATIC html slideshow based in Reveal.js library.

But with RISE, you don't have a STATIC version anymore, you have a LIVE version! A notebook rendered as a Reveal.js-based slideshow, where you can execute code or show to the audience whatever you can show/do inside the notebook itself (but in a "slidy" way).


1- RISE master branch will be following the Jupyter codebase.

2- There is also "released" tagged branches compatible with previous IPython versions:

*  1.x tag compatible with **IPython** 1.x series
*  2.x tag compatible with **IPython** 2.x series
*  3.x tag compatible with **IPython** 3.x series
*  3.x.1 tag also compatible with `notebook` 4.x series, but using old installation mechanism
*  4.0.0b1 tag compatible with the `notebook` 4.2 and above, beta release, please test and report any issues

3- With Jupyter landing we will provide a conda and pip-instalable packages too

NOTE: We will only maintain the latest released version.


In the notebook toolbar, a new button ("Enter/Exit Live Reveal Slideshow") will be available.

In the notebook menu, the "View" option contains a "Cell Toolbar" sub-menu that gives you access to the metadata for each cell. If you select the Slideshow preset, you will see in the right corner of each cell a little box where you can select the cell type (similar as for the static reveal slides with nbconvert).

Some notes:

1- Use spacebar to go forward and shift+spacebar to go backward (or the visual controller in the slideshow right bottom corner). Up and down arrows are reserved to interact with notebook cells and cannot be used to navigate the slides, instead you can use pgup and pgdown.

2- You can know more about the reveal-specific shortcuts just pressing the help button at the slideshow left bottom corner.

3- In contrast to the traditional Jupyter notebook, the Shift-Enter shortcut does not select the next cell, but will only run the cell (same as Ctrl-Enter). This is intentional to not switch slides by running a cell and because some problem arises when you inject new cells on the fly. When you exit the presentation mode, the behavior comes back to normal.

4- Darkish themes have css conflict with the notebook css, so it need customization to make them work (not provided by default).

Configure your own options

You can configure the theme, the transition, and from where the slideshow starts with:

from traitlets.config.manager import BaseJSONConfigManager
path = "/home/damian/miniconda3/envs/rise_latest/etc/jupyter/nbconfig"
cm = BaseJSONConfigManager(config_dir=path)
cm.update('livereveal', {
              'theme': 'sky',
              'transition': 'zoom',
              'start_slideshow_at': 'selected',

path is where the nbconfig is located (for possible different locations, depending on where did you "install" and "enable" the nbextension, check this docs: http://jupyter.readthedocs.io/en/latest/projects/jupyter-directories.html and http://jupyter-notebook.readthedocs.io/en/latest/frontend_config.html).

With these options, your slides will get the serif theme and the zoom transition and the slideshow will start from the selected cell (instead of from the beginning, which is the default).

You can use a similar piece of python code to change the width and height of your slides:

cm.update('livereveal', {
              'width': 1024,
              'height': 768,

Or to enable a right scroll bar for your content exceeding the slide vertical height with:

cm.update('livereveal', {
              'scroll': True,

There are also options for controls, progress, history, minScale and slideNumber.

Note: The use of the minScale option (values other then 1.0) can cause problems with codemirror.

Alternative configuration method

You can put reveal.js configuration in your notebook metadata (Edit->Edit Notebook Metadata) like this:

    "livereveal": {
        "theme": "serif",
        "transition": "zoom",
    "kernelspec": {...}

Usage with Leap Motion

Reveal.js supports the Leap Motion controller. To control RISE slides with the Leap, put the reveal leap plugin options in your config by running this Python code:

cm.update('livereveal', {
    'leap_motion': {
        'naturalSwipe'  : True,     # Invert swipe gestures
        'pointerOpacity': 0.5,      # Set pointer opacity to 0.5
        'pointerColor'  : '#d80000',# Red pointer

To disable it:

cm.update('livereveal', {'leap_motion': None})


You can install RISE in development mode in this way:

git clone https://github.com/damianavila/RISE.git
pip install -e .
jupyter-nbextension install rise --py --sys-prefix --symlink
jupyter-nbextension enable rise --py --sys-prefix

Note for developers: the --symlink argument allow you to modify the JavaScript code in-place. This feature is probably not available in Win. So you will need to "re-install" the nbextension to actually see any changes you made.

To build the CSS assets, you'll need to install npm (and node).

npm install
npm run build

To have per-save automatic building of CSS, use:

npm run watch-less


Lazy changelog: https://github.com/damianavila/RISE/milestone/1?closed=1


If you have any feedback, or find any bugs, please let me know just opening an issue.