HoloViews 1.10 Release

release

holoviews

Release announcement for HoloViews 1.10

Author

Philipp Rudiger

Published

April 24, 2018

We are very pleased to announce the release of HoloViews 1.10!

This release contains a large number of features and improvements. Some highlights include:

JupyterLab support:

Full compatibility with JupyterLab when installing the jupyterlab_holoviews extension (#687)

New components:

Added Sankey element to plot directed flow graphs (#1123)
Added TriMesh element and datashading operation to plot small and large irregular meshes (#2143)
Added Chord element to draw flow graphs between different nodes (#2137, #2143)
Added HexTiles element to plot data binned into a hexagonal grid (#1141)
Added Labels element to plot a large number of text labels at once (as data rather than as annotations) (#1837)
Added Div element to add arbitrary HTML elements to a Bokeh layout (#2221)
Added Violin element to plot and compare distributions as kernel density estimates (#2114)
Added PointDraw, PolyDraw, BoxEdit, and PolyEdit streams to allow drawing, editing, and annotating glyphs on a Bokeh plot, and syncing the resulting data to Python (#2268)

Plus many other bug fixes, enhancements and documentation improvements. For full details, see the Release Notes.

If you are using Anaconda, HoloViews can most easily be installed by executing the command conda install -c pyviz holoviews . Otherwise, use pip install holoviews.