matplotlib
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@@ -61,6 +61,13 @@ widgets for parameter exploration.
 Specialty plots
 ***************
 
+DeCiDa
+======
+
+`DeCiDa <https://pypi.python.org/pypi/DeCiDa>`_ is a library of functions
+and classes for electron device characterization, electronic circuit design and
+general data visualization and analysis.
+
 Matplotlib-Venn
 ===============
 `Matplotlib-Venn <https://github.com/konstantint/matplotlib-venn>`_ provides a
@@ -76,6 +83,21 @@ via e.g., ``ax.set_xscale('prob')`` or ``plt.yscale('prob')``.
 
 .. image:: /_static/probscale_demo.png
 
+mpl-scatter-density
+===================
+
+`mpl-scatter-density <https://github.com/astrofrog/mpl-scatter-density>`_ is a
+small package that makes it easy to make scatter plots of large numbers
+of points using a density map. The following example contains around 13 million
+points and the plotting (excluding reading in the data) took less than a
+second on an average laptop:
+
+.. image:: /_static/mpl-scatter-density.png
+    :height: 400px
+
+When used in interactive mode, the density map is downsampled on-the-fly while
+panning/zooming in order to provide a smooth interactive experience.
+
 mplstereonet
 ============
 `mplstereonet <https://github.com/joferkington/mplstereonet>`_ provides
@@ -108,13 +130,6 @@ Windrose
 Numpy library to manage wind data, draw windroses (also known as polar rose
 plots), draw probability density functions and fit Weibull distributions.
 
-DeCiDa
-======
-
-`DeCiDa <https://pypi.python.org/pypi/DeCiDa>`_ is a library of functions
-and classes for electron device characterization, electronic circuit design and 
-general data visualization and analysis.
-
 Interactivity
 *************