ipyvolume

Try out in mybinder:

3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL.

Ipyvolume currenty can

Do volume rendering.
Create scatter plots (up to ~1 million glyphs).
Create quiver plots (like scatter, but with an arrow pointing in a particular direction).
Render in the Jupyter notebook, or create a standalone html page (or snippet to embed in your page).
Render in stereo, for virtual reality with Google Cardboard.
Animate in d3 style, for instance if the x coordinates or color of a scatter plots changes.
Animations / sequences, all scatter/quiver plot properties can be a list of arrays, which can represent time snapshots.
Stylable (although still basic)
Integrates with
ipywidgets for adding gui controls (sliders, button etc), see an example at the documentation homepage
bokeh by linking the selection
bqplot by linking the selection

Ipyvolume will probably, but not yet:

Render labels in latex.
Do isosurface rendering.
Do selections using mouse or touch.
Show a custom popup on hovering over a glyph.

Documentation

Documentation is generated at readthedocs:

Screencast demos

Animation

(see more at the documentation)

Volume rendering

Glyphs (quiver plots)

Installation

For all cases make sure ipywidgets is enabled after installation, if not already, e.g.:

$ jupyter nbextension enable --py --sys-prefix ipywidgets

To install use pip:

$ pip install ipyvolume
$ jupyter nbextension enable --py --sys-prefix ipyvolume

To install use pip (as non-admin):

$ pip install ipyvolume --user
$ jupyter nbextension enable --py --user ipyvolume

Or with anaconda/conda:

$ pip install ipywidgets
$ # or pip install ipywidgets~=7.0.0b1 # for github master
$ conda install -c conda-forge ipyvolume

For a development installation (requires npm),

$ git clone https://github.com/maartenbreddels/ipyvolume.git
$ cd ipyvolume
$ pip install -e .
$ jupyter nbextension install --py --symlink --sys-prefix ipyvolume
$ jupyter nbextension enable --py --sys-prefix ipyvolume

After changing the javascript, run npm install from the js directory, or webpack --watch and work from the examples/dev.ipynb notebook,