http://vnijs.github.io/radiant/index.html
May have some interesting ideas for bokeh.
Archived discussions · Captured October 28, 2026
Radiant: Data exploreration in shiny
Thanks for sending this link along!
Indeed, this has many parallels to the CDX prototypes we built a while back, as well as overlapping with things like Lyra and Polestar. Lots of great work happening the space of open source data viz!
-Peter
···
On Tue, May 12, 2015 at 10:53 PM, Jtemp rtempl31@gmail.com wrote:
May have some interesting ideas for bokeh.
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Thanks! Curious- whats the end game for bokeh? Is it something like this, or more dashboarding and production plots than EDA, interactive ggplot 2 or a combination of the above?
···
On Thursday, May 14, 2015 at 2:00:08 AM UTC-4, pwang wrote:
Thanks for sending this link along!
Indeed, this has many parallels to the CDX prototypes we built a while back, as well as overlapping with things like Lyra and Polestar. Lots of great work happening the space of open source data viz!
-Peter
On Tue, May 12, 2015 at 10:53 PM, Jtemp rtem...@gmail.com wrote:
May have some interesting ideas for bokeh.
–
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Hey,
Sorry I realized I never responded to this question from almost a month ago!
The “end game” for Bokeh is to provide an infrastructure which supports both “easy EDA” in the browser and product-grade dashboard and app-building sorts of things.
We already somewhat have “interactive ggplot2”, via the shared Matplotlib backend with the ggplot.py library. Additionally, it’s my belief that much of the statistical grammar for faceting and such can be democratized to the non-coding crowd via nice tools like Polestar and whatnot. So, while I certainly believe that the spelling of an API is extremely important, and that language-oriented tools will always have a valuable place in data analytics, I think that it’s very important to recognize that graphical interfaces will emerge in the open source, and become important interfaces. Thus, it’s important that Bokeh has more “depth”, in that it’s not merely a front-end spelling, or a compilation system taking front-end to a bunch of Javascript. In much the same way that LLVM is an important technology that bridge the space between full-on compilers and interpreted runtimes, I think that Bokeh’s reactive object model and RPC mechanism can bridge between compile-to-JS systems and pure in-browser charting.
Hopefully that clarifies some things… 
Cheers,
Peter
···
On Thu, May 14, 2015 at 12:51 PM, arikatzpro@gmail.com wrote:
Thanks! Curious- whats the end game for bokeh? Is it something like this, or more dashboarding and production plots than EDA, interactive ggplot 2 or a combination of the above?
On Thursday, May 14, 2015 at 2:00:08 AM UTC-4, pwang wrote:
Thanks for sending this link along!
Indeed, this has many parallels to the CDX prototypes we built a while back, as well as overlapping with things like Lyra and Polestar. Lots of great work happening the space of open source data viz!
-Peter
On Tue, May 12, 2015 at 10:53 PM, Jtemp rtem...@gmail.com wrote:
May have some interesting ideas for bokeh.
–
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Hi,
Thanks again for the info! This is helpful in planning some decisions based on the projected course of the ecosystem.
Sounds like exciting stuff in store for bokeh. I definitely agree that there is no need to keep things locked into the API crowd, but as you said I don’t think these endpoints are mutually exclusive nor entirely separate.
I think ggvis + shiny shows that interactivity can help quickly iterate powerful custom EDA, when integrated with an expressive API in a composable/hybrid manner- All the while providing infrastructure for a full GUI if desired. This balance can then be tweaked on a project/analyst basis.
···
On Monday, June 15, 2015 at 10:01:19 PM UTC-4, pwang wrote:
Hey,
Sorry I realized I never responded to this question from almost a month ago!
The “end game” for Bokeh is to provide an infrastructure which supports both “easy EDA” in the browser and product-grade dashboard and app-building sorts of things.
We already somewhat have “interactive ggplot2”, via the shared Matplotlib backend with the ggplot.py library. Additionally, it’s my belief that much of the statistical grammar for faceting and such can be democratized to the non-coding crowd via nice tools like Polestar and whatnot. So, while I certainly believe that the spelling of an API is extremely important, and that language-oriented tools will always have a valuable place in data analytics, I think that it’s very important to recognize that graphical interfaces will emerge in the open source, and become important interfaces. Thus, it’s important that Bokeh has more “depth”, in that it’s not merely a front-end spelling, or a compilation system taking front-end to a bunch of Javascript. In much the same way that LLVM is an important technology that bridge the space between full-on compilers and interpreted runtimes, I think that Bokeh’s reactive object model and RPC mechanism can bridge between compile-to-JS systems and pure in-browser charting.
Hopefully that clarifies some things…
Cheers,
Peter
On Thu, May 14, 2015 at 12:51 PM, arika...@gmail.com wrote:
Thanks! Curious- whats the end game for bokeh? Is it something like this, or more dashboarding and production plots than EDA, interactive ggplot 2 or a combination of the above?
On Thursday, May 14, 2015 at 2:00:08 AM UTC-4, pwang wrote:
Thanks for sending this link along!
Indeed, this has many parallels to the CDX prototypes we built a while back, as well as overlapping with things like Lyra and Polestar. Lots of great work happening the space of open source data viz!
-Peter
On Tue, May 12, 2015 at 10:53 PM, Jtemp rtem...@gmail.com wrote:
May have some interesting ideas for bokeh.
–
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