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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Hound serves as a remarkably swift engine for searching source code. Its foundation is derived from an article and accompanying code by Russ Cox, which discusses regular expression matching utilizing a trigram index. The application itself features a static React frontend that communicates with a Go backend. This backend is responsible for maintaining an up-to-date index for every repository and processes searches via a streamlined API. Although Hound has primarily been tested on MacOS and CentOS, it is designed to operate on any Unix-like system. While Hound does not officially support Windows, reports indicate that it compiles and functions adequately; however, it is advisable to exclude your data folder from the Windows Search Indexer for optimal performance. Users have expressed enthusiasm for its capabilities, and developers are continually working on enhancing its compatibility across various platforms.

Description

Sphinx is a high-performance open-source full-text search engine specifically designed to prioritize efficiency, search quality, and ease of integration. Built using C++, it operates seamlessly across various platforms including Linux (such as RedHat and Ubuntu), Windows, MacOS, Solaris, FreeBSD, and several others. Sphinx supports both batch indexing and on-the-fly searching of data from SQL databases, NoSQL systems, or even plain files, allowing for a flexible approach similar to querying a traditional database server. The platform offers numerous text processing capabilities that facilitate the customization of its functions to meet the distinct needs of different applications, while multiple relevance tuning options help enhance the quality of search results. Implementing searches through SphinxAPI requires only three lines of code, and using SphinxQL is even more straightforward, enabling users to write search queries in familiar SQL syntax. Remarkably, Sphinx can index between 10 to 15 MB of text in a second for each CPU core, translating to over 60 MB per second on a dedicated indexing server. With its robust features and efficient performance, Sphinx stands out as an excellent choice for developers seeking a search solution tailored to their specific requirements.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Biel.ai No 
Crowdin No 
Dash No 
Emacs Yes 
Knoku No 
Mermaid Chart No 
MySQL No 
PushFeedback No 
Read the Docs No 
Sublime Text Yes 
Vim Yes 
Visual Studio Code Yes 

Integrations

Biel.ai Yes 
Crowdin Yes 
Dash Yes 
Emacs No 
Knoku Yes 
Mermaid Chart Yes 
MySQL Yes 
PushFeedback Yes 
Read the Docs Yes 
Sublime Text No 
Vim No 
Visual Studio Code No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Etsy

Website

github.com/hound-search/hound

Vendor Details

Company Name

Sphinx

Founded

2007

Country

United States

Website

sphinxsearch.com

Product Features

Product Features

Enterprise Search

AI / Machine Learning No 
Faceted Search / Filtering No 
Full Text Search No 
Fuzzy Search No 
Indexing No 
Text Analytics No 
eDiscovery No 

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Alternatives

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