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Open source full text search server, designed from the ground up with performance, relevance (aka search quality), and integration simplicity in mind

What is Sphinx?

Sphinx lets you either batch index and search data stored in an SQL database, NoSQL storage, or just files quickly and easily — or index and search data on the fly, working with Sphinx pretty much as with a database server. A variety of text processing features enable fine-tuning Sphinx for your particular application requirements, and a number of relevance functions ensures you can tweak search quality as well.
Sphinx is a tool in the Search Engines category of a tech stack.

Who uses Sphinx?

38 companies use Sphinx in their tech stacks, including Grooveshark, Ansible Development Stack, and Webedia.

13 developers use Sphinx.

Why developers like Sphinx?

Here’s a list of reasons why companies and developers use Sphinx
Sphinx Reviews

Here are some stack decisions, common use cases and reviews by companies and developers who chose Sphinx in their tech stack.

Andrew Gatenby
Andrew Gatenby
R&D Lead Developer at Visualsoft · | 1 upvotes · 192 views

We use Sphinx as the main search indexing system on our clients' websites. It's a more powerful system than we even scratch the surface of, and allows us to index data from a variety of sources. Sphinx

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Daniel Quinn
Daniel Quinn
Senior Developer at Founders4Schools · | 1 upvotes · 129 views
atThe Paperless Project

We use Sphinx because it's the standard for Python documentation. As Paperless is Python-based, this only made sense.

Additionally, readthedocs.org plays very well with it, so that's your documentation hosting for you for free.

Finally, it supports ReStructuredText, which is amazingly powerful.

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Sphinx's features

  • Output formats: HTML (including Windows HTML Help), LaTeX (for printable PDF versions), ePub, Texinfo, manual pages, plain text
  • Extensive cross-references: semantic markup and automatic links for functions, classes, citations, glossary terms and similar pieces of information
  • Hierarchical structure: easy definition of a document tree, with automatic links to siblings, parents and children
  • Automatic indices: general index as well as a language-specific module indices
  • Code handling: automatic highlighting using the Pygments highlighter
  • Extensions: automatic testing of code snippets, inclusion of docstrings from Python modules (API docs), and more

Sphinx Alternatives & Comparisons

What are some alternatives to Sphinx?
Solr is the popular, blazing fast open source enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, near real-time indexing, dynamic clustering, database integration, rich document (e.g., Word, PDF) handling, and geospatial search. Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and navigation features of many of the world's largest internet sites.
Lucene Core, our flagship sub-project, provides Java-based indexing and search technology, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities.
It is a modern documentation platform where teams can document everything from products, to APIs and internal knowledge-bases. It is a place to think and track ideas for you & your team.
Searchkick learns what your users are looking for. As more people search, it gets smarter and the results get better. It’s friendly for developers - and magical for your users.

Sphinx's Stats

- No public GitHub repository available -