These are apps that build on top of the infrastructure provided by Haystack. Useful for essentially extending what Haystack can do.
http://github.com/toastdriven/queued_search (2.X compatible)
Provides a queue-based setup as an alternative to RealtimeSignalProcessor or constantly running the update_index command. Useful for high-load, short update time situations.
https://github.com/jezdez/celery-haystack (1.X and 2.X compatible)
Also provides a queue-based setup, this time centered around Celery. Useful for keeping the index fresh per model instance or with the included task to call the update_index management command instead.
https://github.com/mandx/haystack-rqueue (2.X compatible)
Also provides a queue-based setup, this time centered around RQ. Useful for keeping the index fresh using ./manage.py rqworker.
https://github.com/mixcloud/django-celery-haystack-SearchIndex
Another queue-based setup, also around Celery. Useful for keeping the index fresh.
http://github.com/toastdriven/saved_searches (2.X compatible)
Adds personalization to search. Retains a history of queries run by the various users on the site (including anonymous users). This can be used to present the user with their search history and provide most popular/most recent queries on the site.
https://github.com/DirectEmployers/saved-search
An alternate take on persisting user searches, this has a stronger focus on locale-based searches as well as further integration.
http://github.com/trapeze/haystack-static-pages
Provides a simple way to index flat (non-model-based) content on your site. By using the management command that comes with it, it can crawl all pertinent pages on your site and add them to search.
http://github.com/mcroydon/django-tumbleweed
Provides a tumblelog-like view to any/all Haystack-enabled models on your site. Useful for presenting date-based views of search data. Attempts to avoid the database completely where possible.
These are reusable apps that ship with SearchIndexes, suitable for quick integration with Haystack.
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