We haven't publicly released quite yet -- just a public announcement -- so
the information is still sparse.  Our official docs will include more
information on the architecture including the use of Jupyter kernels.

Tristan

On Mon, Mar 20, 2017 at 7:43 PM, Fernando Perez <[email protected]>
wrote:

> Hi Tristan,
>
> On Mon, Mar 20, 2017 at 4:45 PM, <[email protected]> wrote:
>
>> I look forward to contributing to some of these initiatives.  As some may
>> have seen, Cloudera just announced an upcoming Data Science Workbench
>> product (https://www.cloudera.com/products/data-science-and-engineer
>> ing/data-science-workbench.html).  It leverages Jupyter kernels at the
>> core.  Some things Kyle mentions like the lack of clean HTML isolation do
>> make things more difficult than they should be.  But I think nteract,
>> JupyterLab, and Data Science Workbench show how flexible Jupyter is when
>> building on top of the core primitives.
>>
>
> This is excellent, congrats on the release! Is there any public mention of
> the fact that under the hood it actually leverages the Jupyter protocols
> and primitives? I couldn't find any info about that on the docs that
> (admittedly, rather hastily) I scanned.
>
> Very best,
>
> f
>
>
> --
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