Learn what to expect in the new updates

Toolkits are collections of application-specific functions that extend matplotlib.

(*Not distributed with matplotlib*)

Plots data on map projections, with continental and political boundaries, see basemap docs.

(*Not distributed with matplotlib*)

An alternative mapping library written for matplotlib `v1.2`

and beyond.
Cartopy builds on top of
matplotlib to provide object oriented map projection definitions and close
integration with Shapely for powerful yet easy-to-use vector data processing
tools. An example plot from the
Cartopy gallery:

mpl_toolkits.mplot3d provides some basic 3D plotting (scatter, surf, line, mesh) tools. Not the fastest or feature complete 3D library out there, but ships with matplotlib and thus may be a lighter weight solution for some use cases.

(Source code, png, hires.png, pdf)

The matplotlib AxesGrid toolkit is a collection of helper classes to ease displaying multiple images in matplotlib. The AxesGrid toolkit is distributed with matplotlib source.

(*Not distributed with matplotlib*)

MplDataCursor is a toolkit written by Joe Kington to provide interactive “data cursors” (clickable annotation boxes) for matplotlib.

mpl_toolkits.gtktools provides some utilities for working with GTK. This toolkit ships with matplotlib, but requires pygtk.

mpl_toolkits.exceltools provides some utilities for working with Excel. This toolkit ships with matplotlib, but requires xlwt

(*Not distributed with matplotlib*)

mpl_toolkits.natgrid is an interface to natgrid C library for gridding irregularly spaced data. This requires a separate installation of the natgrid toolkit.

(*Not distributed with matplotlib*)

Matplotlib-Venn provides a set of functions for plotting 2- and 3-set area-weighted (or unweighted) Venn diagrams.

(*Not distributed with matplotlib*)

mplstereonet provides stereonets for plotting and analyzing orientation data in Matplotlib.

Several projects have started to provide a higher-level interface to matplotlib. These are independent projects.

(*Not distributed with matplotlib*)

seaborn is a high level interface for drawing statistical graphics with matplotlib. It aims to make visualization a central part of exploring and understanding complex datasets.

(*Not distributed with matplotlib*)

ggplot is a port of the R ggplot2 to python based on matplotlib.

(*Not distributed with matplotlib*)

prettyplotlib is an extension to matplotlib which changes many of the defaults to make plots some consider more attractive.

(*Not distributed with matplotlib*)

matplotlib_iterm2 is an external matplotlib backend uses iTerm2 nightly build inline image display feature.