[IPython-dev] ANN: HoloViews 1.0 released

Jean-Luc Stevens jlstevens at ed.ac.uk
Thu Mar 19 14:44:09 EDT 2015

Thank you very much!

We already had a go testing HoloViews on SageMathCloud to check it all worked 
correctly. Having it available by default will be wonderful though!


On 19/03/15 18:24, William Stein wrote:
> On Thu, Mar 19, 2015 at 10:35 AM, Jean-Luc Stevens <jlstevens at ed.ac.uk> wrote:
>> We are pleased to announce the first public release of HoloViews, a
>> Python package for scientific and engineering data visualization:
>>      http://ioam.github.io/holoviews
>> HoloViews provides composable, sliceable, declarative data structures
>> for building even complex visualizations easily.
> Nice.  I've added holoviews so it is available by default for all
> projects on SageMathCloud (https://cloud.sagemath.com).  Here's an
> example IPython notebook:
>     https://cloud.sagemath.com/projects/4a5f0542-5873-4eed-a85c-a18c706e8bcd/files/support/2015-03-19-111401-holoviews.html
> and Sage worksheet:
>     https://cloud.sagemath.com/projects/4a5f0542-5873-4eed-a85c-a18c706e8bcd/files/support/2015-03-19-111407-holoviews.sagews
>   -- William
>> It's designed to exploit the rich ecosystem of scientific Python tools
>> already available, using Numpy for data storage, matplotlib and mpld3
>> as plotting backends, and integrating fully with IPython Notebook to
>> make your data instantly visible.
>> If you look at the website for just about any other visualization
>> package, you'll see a long list of pretty pictures, each one of which
>> has a page or two of code putting it together.  There are pretty
>> pictures in HoloViews too, but there is *no* hidden code -- *all* of
>> the steps needed to build a given figure are shown right before the
>> HoloViews plot, with just a few lines needed for nearly all of our
>> examples, even complex multi-figure subplots and animations.  This
>> concise but flexible specification makes it practical to explore and
>> analyze your data interactively, while leaving a full record for later
>> reproducibility in the notebook.
>> It may sound like magic, but it's not -- HoloViews simply lets you
>> annotate your data with appropriate metadata, and then the data can
>> display itself!  HoloViews provides a set of general, compositional,
>> multidimensional data structures suitable for both discrete and
>> continuous real-world data, and pairs them with separate customizable
>> plotting classes to visualize them without extensive coding.  A
>> large collection of continuously tested IPython Notebook tutorials
>> accompanies HoloViews, showing you precisely the small number of steps
>> required to generate any of the plots.
>> Some of the most important features:
>> - Freely available under a BSD license
>> - Python 2 and 3 compatible
>> - Minimal external dependencies -- easy to integrate into your workflow
>> - Builds figures by slicing, sampling, and composing your data
>> - Builds web-embeddable animations without any extra coding
>> - Easily customizable without obscuring the underlying data objects
>> - Includes interfaces to pandas and Seaborn
>> - Winner of the 2015 UK Open Source Award
>> For the rest, check out ioam.github.io/holoviews!
>> Jean-Luc Stevens
>> Philipp Rudiger
>> James A. Bednar
>> --
>> The University of Edinburgh is a charitable body, registered in
>> Scotland, with registration number SC005336.
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