We've thought about gitter as well, personally my (slight) preference for Slack is that it does not require a GH account, and also, there is a nice OSS heroku app that provides a really nice "self-invite" button that shows how many users are on, too. You can see it on our test docs deploy:
http://bokeh.pydata.org/en/test/index.html That said it is probably six of one, half dozen of the other. I'm not categorically opposed to looking into gitter some more. My hope (and intent) is really to have this as a place for users to congregate and self-support. We do intend to monitor, to the extent we can, but like you there is precious little bandwidth form core devs. Bryan > On May 4, 2015, at 11:45 AM, Thomas Caswell <[email protected]> wrote: > > That sounds reasonable to me. My only concern is getting enough (any?) > bandwidth from enough of the core mpl developers. > > IPython and scikit image both have gitter rooms running that seem to working > well for them as well, is there any reason to go with slack over gitter? > > Tom > > ---------- Forwarded message --------- > From: Bryan Van de Ven <[email protected]> > Date: Mon, May 4, 2015 at 11:44 AM > Subject: python data vis Slack channels? > To: Michael Droettboom <[email protected]>, <[email protected]> > > > Hi guys, > > We have been experimenting/toying with the idea of using a free Slack channel > to provide a place for casual Bokeh user interactions. It occurred that it > might be nice to have a single "pyvis.slack.com", that has channels for > several OSS python vis libraries in one place. Would you have any interest in > a #matplotlib channel there? If there is a better place to submit this > proposal, please let me know. > > Regards, > > Bryan Van de Ven > ------------------------------------------------------------------------------ One dashboard for servers and applications across Physical-Virtual-Cloud Widest out-of-the-box monitoring support with 50+ applications Performance metrics, stats and reports that give you Actionable Insights Deep dive visibility with transaction tracing using APM Insight. http://ad.doubleclick.net/ddm/clk/290420510;117567292;y _______________________________________________ Matplotlib-devel mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/matplotlib-devel