I have some reasonably polished code for auto-generating widget definitions
here: https://github.com/vidartf/widget-gen/  It will take care of
declaring the synced traits, but does not look at validators/business logic
at all. It hasn't really been battle tested though, so I would love any
feedback on it!

Vidar

On Thu, Sep 6, 2018 at 4:31 PM Jason Grout <[email protected]> wrote:

> 1. There is a PR open for making the core widget attributes a JSON
> document, like Sylvain mentioned:
> https://github.com/jupyter-widgets/ipywidgets/pull/2193. It needs review
> and merging. You're right that the attributes keep being added to, but we
> also try hard to signal the spec changes in the version numbers (for
> example, adding a new widget attribute that is backwards compatible is a
> minor version bump in ipywidgets).
> 2. I believe interact.jl in Julia implements their own widget system, not
> the Jupyter widgets system. Other than that, the implementations listed
> above are the current widget implementations I know about (C++, Juniper R
> kernel (using xwidgets), BeakerX)
>
> Jason
>
>
> On Thu, Sep 6, 2018 at 3:05 AM Tony Hirst <[email protected]> wrote:
>
>> The JuniperKernel (an R kernel alternative to IRkernel) also looks like
>> it runs xwidgets: https://github.com/JuniperKernel/JuniperKernel
>>
>> --tony
>>
>>
>> On Monday, 3 September 2018 23:01:35 UTC+1, Sylvain Corlay wrote:
>>>
>>> Hi Christian,
>>>
>>> (Responding on mailing list for the record even though we also connected
>>> through other channels).
>>>
>>> In terms of language backends for Jupyter widgets, I should mention
>>>
>>>  - *xwidgets*, the C++ implementation of the Jupyter widgets protocol,
>>> which includes all the controls from ipywidgets. Backends for bqplot
>>> (xplot), ipyleaflet (xleaflet) and pythreejs (xthreejs) were built upon
>>> xwidgets. These widget libraries can be used with the C++ kernel.
>>>
>>>    Here are a few binder links for trying out these libraries:
>>>
>>>    xeus-cling:
>>> https://mybinder.org/v2/gh/QuantStack/xeus-cling/stable?filepath=notebooks/xcpp.ipynb
>>> (general demo of xeus-cling)
>>>    xwidgets:
>>> https://mybinder.org/v2/gh/QuantStack/xwidgets/stable?filepath=notebooks/xwidgets.ipynb
>>>    xleaflet:
>>> https://mybinder.org/v2/gh/QuantStack/xleaflet/stable?filepath=notebooks
>>>    xplot:
>>> https://mybinder.org/v2/gh/QuantStack/xplot/stable?filepath=notebooks
>>>
>>>  - I should also mention the *beakerx*
>>> <https://github.com/twosigma/beakerx> project, which includes kernels
>>> and widget backends for multiple languages of the JVM world.
>>>
>>>  - The *Interact.jl* <https://github.com/JuliaGizmos/Interact.jl> project
>>> enables a lot of the controls of the base ipywidgets package for the Julia
>>> programming language.
>>>
>>> Best,
>>>
>>> Sylvain
>>>
>>> On Monday, September 3, 2018 at 9:42:44 PM UTC+2, Christian Schafmeister
>>> wrote:
>>>>
>>>>
>>>> We've ported several jupyter widgets to Common Lisp so that we can use
>>>> jupyter widgets from our kernel written in Common Lisp.
>>>> This has involved translating about 15,000 lines of Python into Common
>>>> Lisp - and dealing with translating traitlets and multithreaded code.
>>>>
>>>> It's going to be a maintenance burden for us - but we have the basic
>>>> jupyter widgets, nglview, and bqplot widgets ported.
>>>>
>>>> I haven't been able to find any but are there any other languages that
>>>> have made this investment? Julia? R? Ruby?
>>>>
>>>> If so - I'm curious to see how you approached it.
>>>>
>>>> Best,
>>>>
>>>> Christian Schafmeister,
>>>> Professor, Chemistry Department
>>>> Temple University.
>>>>
>>> --
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