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Module for managing and configuring Elasticsearch nodes
Official low-level client for Elasticsearch. Its goal is to provide common ground for all Elasticsearch-related code in Python; because of this it tries to be opinion-free and very extendable. The client’s features include: translating basic Python data types to and from json (datetimes are not decoded for performance reasons) configurable automatic discovery of cluster nodes persistent connections load balancing (with pluggable selection strategy) across all available nodes failed connection penalization (time based - failed connections won’t be retried until a timeout is reached) support for ssl and http authentication thread safety pluggable architecture
Haystack provides modular search for Django. It features a unified, familiar API that allows you to plug in different search backends (such as Solr, Elasticsearch, Whoosh, Xapian, etc.) without having to modify your code. Haystack is BSD licensed, plays nicely with third-party app without needing to modify the source and supports advanced features like faceting, More Like This, highlighting, spatial search and spelling suggestions. You can find more information at http://haystacksearch.org/. This package provides Python 2 build of django-haystack.
Apache/Airflow elasticsearch provider
Haystack provides modular search for Django. It features a unified, familiar API that allows you to plug in different search backends (such as Solr, Elasticsearch, Whoosh, Xapian, etc.) without having to modify your code. Haystack is BSD licensed, plays nicely with third-party app without needing to modify the source and supports advanced features like faceting, More Like This, highlighting, spatial search and spelling suggestions. You can find more information at http://haystacksearch.org/. This package provides Python 3 build of django-haystack.
Python Elasticsearch Client Official lowlevel client for Elasticsearch. Its goal is to provide common ground for all Elasticsearchrelated code in Python; because of this it tries to be opinionfree and very extendable.For a more high level client library with more limited scope, have a look at elasticsearchdsl_ a more pythonic library sitting on top of elasticsearchpy.It provides a ...
Low level client for Elasticsearch. It's goal is to provide common ground for all Elasticsearch-related code in Python. The client's features include: - Translating basic Python data types to and from json - Configurable automatic discovery of cluster nodes - Persistent connections - Load balancing (with pluggable selection strategy) across all available nodes - Failed connection penalization (time based - failed connections won't be retried until a timeout is reached) - Thread safety - Pluggable architecture