Hey, Actually, for Scala, I'd better using https://github.com/andypetrella/spark-notebook/
It's deployed at several places like *Alibaba*, *EBI*, *Cray* and is supported by both the Scala community and the company Data Fellas. For instance, it was part of the Big Scala Pipeline training given this 16th August at Galvanize in San Francisco with the collaboration of *Datastax, Mesosphere, Databricks, Confluent and Typesafe*: http://scala.bythebay.io/pipeline.html. It was a successful 100+ attendants training day. Also, it's the only one fully reactive including a reactive plotting library in Scala, allowing you to creatively plot a moving average computed in a DStream, or a D3 Graph layout dynamically updated or even a dynamic map of the received tweets having geoloc set. Of course, you can plot lines, pies, bars, hist, boxplot for any kind of data, being Dataframe, SQL stuffs, Seq, List, Map or whatever of tuples or classes. Checkout http://spark-notebook.io/, for your specific distro. Note that you can also use it directly on DCOS. For any question, I'll be glad helping you on the ~200 crowded gitter chatroom: https://gitter.im/andypetrella/spark-notebook cheers and have fun :-) On Tue, Aug 18, 2015 at 10:24 PM Guru Medasani <gdm...@gmail.com> wrote: > For python it is really great. > > There is some work in progress in bringing Scala support to Jupyter as > well. > > https://github.com/hohonuuli/sparknotebook > > https://github.com/alexarchambault/jupyter-scala > > > Guru Medasani > gdm...@gmail.com > > > > On Aug 18, 2015, at 12:29 PM, Jerry Lam <chiling...@gmail.com> wrote: > > Hi Guru, > > Thanks! Great to hear that someone tried it in production. How do you like > it so far? > > Best Regards, > > Jerry > > > On Tue, Aug 18, 2015 at 11:38 AM, Guru Medasani <gdm...@gmail.com> wrote: > >> Hi Jerry, >> >> Yes. I’ve seen customers using this in production for data science work. >> I’m currently using this for one of my projects on a cluster as well. >> >> Also, here is a blog that describes how to configure this. >> >> >> http://blog.cloudera.com/blog/2014/08/how-to-use-ipython-notebook-with-apache-spark/ >> >> >> Guru Medasani >> gdm...@gmail.com >> >> >> >> On Aug 18, 2015, at 8:35 AM, Jerry Lam <chiling...@gmail.com> wrote: >> >> Hi spark users and developers, >> >> Did anyone have IPython Notebook (Jupyter) deployed in production that >> uses Spark as the computational engine? >> >> I know Databricks Cloud provides similar features with deeper integration >> with Spark. However, Databricks Cloud has to be hosted by Databricks so we >> cannot do this. >> >> Other solutions (e.g. Zeppelin) seem to reinvent the wheel that IPython >> has already offered years ago. It would be great if someone can educate me >> the reason behind this. >> >> Best Regards, >> >> Jerry >> >> >> > > -- andy
