Most of my open source work focuses on bqplot, an open source interactive visualization library for the Jupyter notebook. bqplot comes from the ipywidgets infrastructure, which I also work a great deal with.

Here's a video of us speaking about it at SciPy:

I gave a more extended talk on bqplot at both PyData Seattle and PyData Ann Arbor:

For example, the simple python snippet generates an interactive plot with panning/zooming and save features:
from bqplot import pyplot as plt
import numpy as np

x = np.linspace(0., 10., 100)

plt.figure(title='Hello World')
plt.plot(x, np.sin(x), colors=['Red'])
plt.show()