languagetool-org/languagetool

Style and Grammar Checker for 25+ Languages

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Summary Information

Updated 12 minutes ago
Added to GitGenius on September 3rd, 2026
Created on August 8th, 2013
Open Issues & Pull Requests: 2,145 (+0)
GitHub issues: Enabled
Number of forks: 1,573
Total Stargazers: 14,991 (+0)
Total Subscribers: 160 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 2.3 days
Mean response time: 84.4 days
90th percentile: 271.2 days
Tracked items: 273

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 79% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. 81% of tracked open issues have had no activity in three months, so the open count overstates what is actively being worked. Only 5% of issues opened in the past year have been closed. Three people close 53% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 257
New in 7 days: 0
Closed in 7 days: 1
Avg open age: 575 days
Stale 30+ days: 252
Stale 90+ days: 224

Recent activity

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

Top labels

  • English (45)
  • German (29)
  • Russian (14)
  • browser-add-on (11)
  • code/java (11)
  • bug (10)
  • French (8)
  • enhancement (6)

Detailed Description

LanguageTool is a style and grammar checker that detects writing errors across more than twenty-five languages.

The tool addresses the limitation of spell checkers by identifying grammatical mistakes, style issues, and other errors that simple dictionary-based checking cannot catch. It works by applying language-specific rules to analyze text and flag problems ranging from basic grammar to nuanced style concerns. The project supports deployment as a standalone application, an HTTP server with a public API, or as an embedded Java library.

Developers should choose this tool if they need multilingual proofreading capabilities beyond spell-checking. It suits projects requiring either a self-hosted solution or integration into existing applications through its Java API or HTTP interface. The tool is particularly valuable for applications handling content in multiple languages, as it provides consistent error detection across a wide language set. Community-contributed Docker images are available for containerized deployment, though these are maintained separately from the core project.

The project maintains active development with regular updates to error detection rules and language support. The codebase is substantial, requiring over five hundred megabytes to clone fully, though shallow clones are available for reduced bandwidth. Building from source requires Java and Maven, with specific guidance provided for Apple Silicon systems. The development team actively solicits contributions through documented processes for adding new error detection rules, and comprehensive developer documentation is maintained separately from the main repository.