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Description

The Apache Lucene™ initiative is dedicated to creating open-source search technology. This initiative not only offers a fundamental library known as Lucene™ core but also includes PyLucene, which serves as a Python interface for Lucene. Lucene Core functions as a Java library that delivers robust features for indexing and searching, including capabilities for spellchecking, hit highlighting, and sophisticated analysis/tokenization. The PyLucene project enhances accessibility by allowing developers to utilize Lucene Core through Python. Backing this initiative is the Apache Software Foundation, which supports a variety of open-source software endeavors. Notably, Apache Lucene is made available under a license that is favorable for commercial use. It has established itself as a benchmark for search and indexing efficiency. Furthermore, Lucene is the foundational search engine for both Apache Solr™ and Elasticsearch™, which are widely used in various applications. From mobile platforms to major websites like Twitter, Apple, and Wikipedia, our core algorithms, together with the Solr search server, enable a multitude of applications globally. Ultimately, the objective of Apache Lucene is to deliver exceptional search capabilities that meet the needs of diverse users. Its continuous development reflects the commitment to innovation in search technology.

Description

Livegrep is a tool inspired by Google Code Search that facilitates interactive regex searches across source repositories that can be several gigabytes in size. To utilize livegrep, you must start both the codesearch backend, which handles indexing and searching, and the livegrep web interface. After building both codesearch and livegrep, you can run the sample web interface to test livegrep itself. The codesearch binary plays a crucial role by reading the source code, maintaining an index, and processing search requests. Notably, livegrep operates without state and depends solely on its TCP connection to the codesearch component. By default, codesearch generates an in-memory index for the repositories listed in its configuration file, but it also offers the option to save the index to a file on disk. This functionality not only accommodates indexes that exceed the available RAM but also allows for the reuse of index files across different sessions. Consequently, this feature enhances efficiency and resource management when dealing with extensive codebases.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Apache Solr Yes 
Apache Usergrid Yes 
Elasticsearch Yes 

Integrations

Apache Solr No 
Apache Usergrid No 
Elasticsearch 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 Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

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

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

Apache Software Foundation

Founded

1999

Country

United States

Website

lucene.apache.org

Vendor Details

Company Name

livegrep

Website

livegrep.com/about

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 

Product Features

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