It would be great to move the repr api into the jupyter project as a
standard we can evolve. Since I work with Ryan though, it shouldn't be me
pushing for it though so I'd love to hear from others in the jupyter
community. My primary interest is to make sure we're moving towards
standards we can all collaborate on and improve across the ecosystem of
libraries.

On Tue, Mar 21, 2017 at 10:28 AM, 'Ryan Blue' via Project Jupyter <
[email protected]> wrote:

> Sorry for sending twice, but I think the original was rejected since I
> wasn't subscribed.
>
> On the subject of pieces that all front-ends can benefit from, I've posted
> a repository with what we're currently using for a display/repr API here:
>
>   https://github.com/rdblue/jupyter-repr-api
>
> This is the API that we are currently using to inspect JVM objects in our
> Scala kernel. I'd like for something like this to be supported and
> published by the Jupyter community, so that JVM library authors can
> register code that displays library-specific objects that can be used by
> any JVM-based kernel.
>
> rb
>
> On Tue, Mar 21, 2017 at 10:19 AM, Tristan Zajonc <[email protected]>
> wrote:
>
>> 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
>>>
>>>
>>> --
>>> Fernando Perez (@fperez_org; http://fperez.org)
>>> fperez.net-at-gmail: mailing lists only (I ignore this when swamped!)
>>> fernando.perez-at-berkeley: contact me here for any direct mail
>>>
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>>
>
>
> --
> Ryan Blue
> Software Engineer
> Netflix
>
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-- 
Kyle Kelley (@rgbkrk <https://twitter.com/rgbkrk>; lambdaops.com)

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