Building Interactive Faceted Search with Backbone.js


(Greg Brown) #1

Howdy ElasticSearchers!

I just released a library for quickly building interactive faceted search
sites (with charts). I wrote an intro blog posthttp://gibrown.wordpress.com/2012/08/20/quickly-build-faceted-search-with-elasticsearch-and-backbone-js/to the library, or head straight over to the es-backbone
github repo https://github.com/Automattic/es-backbone.

Still very v0.1 software, but I have it working for three internal search
engines.

Hope this will help someone else to build some front ends that are as cool
as ElasticSearch is on the back end.
-Greg

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(David Pilato) #2

That's great. Thanks for sharing it.
I will try it in a couple of week and give a feedback.

--
David :wink:
Twitter : @dadoonet / @elasticsearchfr / @scrutmydocs

Le 20 août 2012 à 02:54, Greg Brown gbrown5878@gmail.com a écrit :

Howdy ElasticSearchers!

I just released a library for quickly building interactive faceted search sites (with charts). I wrote an intro blog post to the library, or head straight over to the es-backbone github repo.

Still very v0.1 software, but I have it working for three internal search engines.

Hope this will help someone else to build some front ends that are as cool as ElasticSearch is on the back end.
-Greg

--

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(Otis Gospodnetić) #3

Hi Greg,

Looks good and thanks for sharing!

My only comment so far: please consider using something with d3, not Flot.
Flot was probably the best choice for this at some point, but as an
open-source project it didn't feel healthy last time we evaluated it. We
are still using it in our services (see signature), but are going to
replace it.

Otis

Search Analytics - http://sematext.com/search-analytics/index.html
Scalable Performance Monitoring - http://sematext.com/spm/index.html

On Sunday, August 19, 2012 8:54:13 PM UTC-4, Greg Brown wrote:

Howdy ElasticSearchers!

I just released a library for quickly building interactive faceted search
sites (with charts). I wrote an intro blog posthttp://gibrown.wordpress.com/2012/08/20/quickly-build-faceted-search-with-elasticsearch-and-backbone-js/to the library, or head straight over to the es-backbone
github repo https://github.com/Automattic/es-backbone.

Still very v0.1 software, but I have it working for three internal search
engines.

Hope this will help someone else to build some front ends that are as cool
as ElasticSearch is on the back end.
-Greg

--


(Greg Brown) #4

Hi Otis,

Thanks for feedback. I looked at using d3, but got slightly overwhelmed by
the complexity/options when I just wanted to start out with some simple
graphs.

Would love to use d3 though because I agree there are some amazing
visualizations one could build. I'll take a look at it again when I get a
chance (issue added: https://github.com/Automattic/es-backbone/issues/1).

If anyone has any d3 visualizations you think I should borrow from, please
send them along.

Love Sematext's blog BTW. Cheers!
-Greg

On Tue, Aug 21, 2012 at 4:30 AM, Otis Gospodnetic <
otis.gospodnetic@gmail.com> wrote:

Hi Greg,

Looks good and thanks for sharing!

My only comment so far: please consider using something with d3, not Flot.
Flot was probably the best choice for this at some point, but as an
open-source project it didn't feel healthy last time we evaluated it. We
are still using it in our services (see signature), but are going to
replace it.

Otis

Search Analytics - http://sematext.com/search-analytics/index.html
Scalable Performance Monitoring - http://sematext.com/spm/index.html

On Sunday, August 19, 2012 8:54:13 PM UTC-4, Greg Brown wrote:

Howdy ElasticSearchers!

I just released a library for quickly building interactive faceted search
sites (with charts). I wrote an intro blog posthttp://gibrown.wordpress.com/2012/08/20/quickly-build-faceted-search-with-elasticsearch-and-backbone-js/to the library, or head straight over to the es-backbone
github repo https://github.com/Automattic/es-backbone.

Still very v0.1 software, but I have it working for three internal search
engines.

Hope this will help someone else to build some front ends that are as
cool as ElasticSearch is on the back end.
-Greg

--

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(system) #5