elasticsearch-dsl-py

Agreed! Using something like elasticsearch-dsl for Python [1] makes writing queries a little more bearable, but it's not a good fit for manual ad-hoc querying (e.g. some analysis I'd be doing from Kibana). https://github.com/elastic/elasticsearch-dsl-py

I really like lists like this. I get updates daily on which of my github friends (is that what they're called?) have starred and there is no real reason why they're following a project. I can look at the README and guess. I did see someone start following this project the other day https://github.com/elastic/elasticsearch-dsl-py, which seems pretty interesting. Has anyone used it?

Not sure what kind of queries you want to do, but Elasticsearch has a fairly extensive Query DSL that'll let you do all sorts of aggregations: https://www.elastic.co/guide/en/elasticsearch/reference/curr... There is a Python implementation that makes creating complex queries pretty easy: https://github.com/elastic/elasticsearch-dsl-py I agree with the criticisms of Kibana, but I have had no problems querying Elasticsearch directly. It also supports scripted queries if the built-in aggregations aren't enough. Of course, then you have to build your own visualizations with the results...

There are a couple of libraries listed below. Would using any of them make life easier with ElasticSearch + Python? - https://github.com/elasticsearch/elasticsearch-py (low level lib, from ES) - https://github.com/elasticsearch/elasticsearch-dsl-py (high level lib, from ES) - https://github.com/mozilla/elasticutils (high level lib from Mozilla) There are a few more, but they are either obsolete or don't have much traction. There's also django-haystack, but that's specific to django.

Happy to - note that the syntax in the search test is mostly just shortcut (though I fully expect that to be the main interface). You can also use the objects for individual query types: https://github.com/elasticsearch/elasticsearch-dsl-py/blob/m...

Yes, the goal is similar - to provide a nice API without limiting any of the possibilities. It's much less restrictive (doesn't whitelist parameters) and tries not to force you to learn both Elasticsearch's query language and a DSL on top of by staying close to the original api. It's currently work in progress but you can already see in tests some of the features like chainable API, composing queries and filters and aggregations: https://github.com/elasticsearch/elasticsearch-dsl-py/blob/m... I try to work closely with the fine people at Mozilla currently maintaining ElasticUtils to make sure there is a nice migration path and I don't miss anything obvious. Any feedback would be more than welcome (github, twitter, email, irc #elasticsearch-py, carrier pigeon, ...)!

We are currently working on an official QuerySet-like python library here at Elasticsearch: https://github.com/elasticsearch/elasticsearch-dsl-py