apache/lucene

Apache Lucene open-source search software

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Summary Information

Updated 2 minutes ago
Added to GitGenius on September 19th, 2026
Created on February 23rd, 2021
Open Issues & Pull Requests: 2,666 (+1)
GitHub issues: Enabled
Number of forks: 1,433
Total Stargazers: 3,563 (+0)
Total Subscribers: 85 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 5.2 hours
Mean response time: 80.6 days
90th percentile: 51.9 days
Tracked items: 716

Most active contributors

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How this project is maintained

About 15% of issues opened in the past year have never received a reply. 81% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "type:test" is answered fastest, typically in under an hour, while "legacy-jira-priority:Minor" waits about 5 days. 63% of tracked open issues have had no activity in three months, so the open count overstates what is actively being worked. Only 49% of issues opened in the past year have been closed.

Charts & Analytics

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Issue Activity (beta)

Open issues: 336
New in 7 days: 4
Closed in 7 days: 3
Avg open age: 614 days
Stale 30+ days: 306
Stale 90+ days: 259

Recent activity

Opened in 7 days: 4
Closed in 7 days: 3
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • type:enhancement (299)
  • type:bug (197)
  • type:task (107)
  • type:test (80)
  • vector-based-search (54)
  • legacy-jira-priority:Major (37)
  • legacy-jira-priority:Minor (24)
  • good first issue (18)

Detailed Description

Apache Lucene is a full-featured text search engine library written in Java that provides high-performance indexing and retrieval capabilities for applications requiring sophisticated search functionality.

Lucene solves the problem of efficiently searching large volumes of text by providing a complete search library that handles indexing, querying, and ranking. It works by building inverted indexes of text content, allowing fast full-text searches across documents. The library offers control over how text is analyzed, indexed, and scored, enabling developers to tune search behavior for their specific use cases rather than relying on a black-box search service.

Lucene suits projects where search is a core requirement and developers need fine-grained control over indexing and retrieval logic. It is embedded directly into applications as a library rather than deployed as a separate service, making it appropriate for systems where tight integration with search functionality is beneficial. Organizations building search-heavy applications in Java environments, or those needing to customize search behavior beyond what generic search services provide, should consider adopting it. The library is particularly valuable when search performance and relevance tuning are critical concerns.

The project maintains active development with regular contributions across core search functionality, analysis pipelines, and query processing. Work spans improvements to indexing efficiency, enhancements to ranking algorithms, and expansions of language support through additional analyzers. The codebase receives ongoing attention to API design and backward compatibility considerations, as evidenced by maintained migration documentation for version transitions. Community engagement remains steady through mailing lists and discussion channels where users and developers collaborate on questions and feature development.