Shaolin allows for making complex plot just with a few clicks. It is possible to configure every parameter of diffrerent kinds of plots using ipython widgets and bokeh.

Its still in a really alpha version (not even uploaded to pypy). Can be installed using the setup script included in the code typing "python setup.py install" inside the project folder.

This tool allows to make an interactive scatter plot from an arbitary pandas DataFrame.

It is possible to convert arbitrary timeseries into graphs with a few lines of code using its widget GUI.

This is a widget intended to visualize the data inside a GraphCalculator.

It will extend the capabilities of the GraphCalculator for making interactive animated graphs in real time. This is really usefull for visualizing correlation matrix time series.

It will be possible to replicate the capabilities of the GraphPlot using VPython as a plotting engine. This will make very easy visualizing interactive 3D graphs in the notebook.

All the plots that support an arbitrary DataFrame will support both Panel and Panel4D data structures.

It will be possible to create any arbitrary colormap using widgets for interacting with the Seaborn Colormap interface.

Compatibility for displaying seaborn plots will be added shortly.

Compatibility for mapping data to interactive matplotlib plots using MplD3.