Re: ANN: HoloViews 1.0 released

On 19/03/15 17:25, Thomas Kluyver wrote:
> Hi Jean-Luc,
>
> That looks very cool - Congratulations!

Thank you!

> Feel free to repost this to ipython-dev; we're gradually phasing out
> ipython-user and merging conversations onto one list.

Sure! I'll do that shortly.

Jean-Luc

>
> On 19 March 2015 at 10:21, Jean-Luc Stevens <[email protected]
> <mailto:[email protected]>> 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.
>
>     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
>     <http://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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-- 
The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.