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@@ -158,7 +158,11 @@ <h1>Toolkits</h1>
 including a choice of two projection and mapping toolkits <a href="http://matplotlib.org/basemap">basemap</a> and
 <a href="http://scitools.org.uk/cartopy/docs/latest">cartopy</a>,
 3d plotting with <a href="{{ pathto('mpl_toolkits/mplot3d/index') }}">mplot3d</a>,
-axes and axis helpers in <a href="{{ pathto('mpl_toolkits/axes_grid/index') }}">axes_grid</a> and more.
+axes and axis helpers in <a href="{{ pathto('mpl_toolkits/axes_grid/index') }}">axes_grid</a>,
+several higher-level plotting interfaces
+    <a href="http://web.stanford.edu/~mwaskom/software/seaborn">seaborn</a>,
+    <a href="http://holoviews.org">holoviews</a>,
+    <a href="http://ggplot.yhathq.com">ggplot</a>, and more.
  </p>
 
 <h1>Citing matplotlib</h1>
 
@@ -172,6 +172,26 @@ level interface for drawing statistical graphics with matplotlib. It
 aims to make visualization a central part of exploring and
 understanding complex datasets.
 
+.. image:: /_static/seaborn.png
+    :height: 157px
+
+.. _toolkit_holoviews:
+
+holoviews
+=========
+(*Not distributed with matplotlib*)
+
+`holoviews <http://holoviews.org>`_ makes it easier to visualize data
+interactively, especially in a `Jupyter notebook
+<http://jupyter.org>`_, by providing a set of declarative
+plotting objects that store your data and associated metadata.  Your
+data is then immediately visualizable alongside or overlaid with other
+data, either statically or with automatically provided widgets for
+parameter exploration.
+
+.. image:: /_static/holoviews.png
+    :height: 354px
+
 .. _toolkit_ggplot:
 
 ggplot
@@ -181,6 +201,9 @@ ggplot
 `ggplot <https://github.com/yhat/ggplot>`_ is a port of the R ggplot2
 to python based on matplotlib.
 
+.. image:: /_static/ggplot.png
+    :height: 195px
+
 
 .. _toolkit_prettyplotlib: