algolia/docsearch

:blue_book: The easiest way to add search to your documentation.

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Summary Information

Updated 60 minutes ago
Added to GitGenius on September 15th, 2026
Created on November 20th, 2015
Open Issues & Pull Requests: 86 (+0)
GitHub issues: Enabled
Number of forks: 438
Total Stargazers: 4,381 (+0)
Total Subscribers: 94 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 2.9 days
Mean response time: 55.8 days
90th percentile: 168.0 days
Tracked items: 87

Most active contributors

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How this project is maintained

100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "Investigation in progress" is answered fastest, typically in about 21 hours, while "Needs investigation" waits about 8 weeks. Three people close 63% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 21
New in 7 days: 0
Closed in 7 days: 1
Avg open age: 701 days
Stale 30+ days: 19
Stale 90+ days: 12

Recent activity

Opened in 7 days: 0
Closed in 7 days: 1
Comments in 7 days: 1
Events in 7 days: 5

Top labels

  • Needs investigation (13)
  • Investigation in progress (11)
  • DocSearch v4 (10)
  • DocSearch v5 (8)
  • bug (7)
  • enhancement (7)
  • good first issue (4)
  • crawler (3)

Detailed Description

DocSearch is a search integration tool that adds full-text search functionality to documentation websites with minimal setup.

The tool solves the problem of making documentation searchable without requiring developers to build and maintain their own search infrastructure. DocSearch works by crawling documentation sites to index their content, then providing a pre-built search interface that can be embedded into any documentation site. The service handles indexing automatically, so documentation maintainers do not need to manually manage search indices or write custom indexing logic.

DocSearch suits documentation projects of any size that want search capabilities without the overhead of running a search backend. It is particularly valuable for open-source projects and smaller teams that lack dedicated infrastructure resources. The tool provides a hosted solution, meaning users do not need to deploy or operate their own search servers. Projects using static site generators or traditional documentation platforms can integrate DocSearch by adding a small JavaScript snippet to their site.

The project maintains active development with regular updates to its TypeScript codebase and ongoing refinement of the search interface. The team responds to issues and pull requests, indicating sustained engagement with the user community. Documentation and examples are kept current to reflect the tool's capabilities and integration patterns.