interactive visualization packages for R and python

Originally published on my old Blogger blog on February 24, 2014. Read the original post and its comments.

I've been collecting potential packages for (interactive) visualization of Genomic data.
Here are the ones so far I've collected:

python:
Vispy http://vispy.org/gallery.html
pretty plotlib https://github.com/olgabot/prettyplotlib
D3py https://github.com/mikedewar/d3py
Yhat ggplot for python http://blog.yhathq.com/posts/ggplot-for-python.html
galry https://github.com/rossant/galry
Glue http://www.glueviz.org/en/latest/
Seaborn https://github.com/mwaskom/seaborn
Bokeh https://github.com/ContinuumIO/Bokeh

R:
Click me https://github.com/nachocab/clickme
plotly https://plot.ly/

others:
http://selection.datavisualization.ch/
Gpviz http://icbi.at/software/gpviz/gpviz.shtml
Jheatmap http://jheatmap.github.io/jheatmap/
Caleydo http://caleydo.github.io/caleydo-doc/3.1/index.html#!index.md

There are too many out there, I will need to focus on  one or two.

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