analysis-tools-dev/static-analysis

⚙️ A curated list of static analysis (SAST) tools and linters for all programming languages, config files, build tools, and more. The focus is on tools...

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Summary Information

Updated 21 minutes ago
Added to GitGenius on September 4th, 2026
Created on December 18th, 2015
Open Issues & Pull Requests: 12 (+0)
GitHub issues: Enabled
Number of forks: 1,509
Total Stargazers: 14,769 (+0)
Total Subscribers: 309 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 8.3 hours
Mean response time: 3.7 days
90th percentile: 14.0 days
Tracked items: 8

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Issue Activity (beta)

Open issues: 1
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 61 days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

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

Top labels

  • stale (7)
  • hacktoberfest (1)
  • hacktoberfest-accepted (1)
  • help wanted (1)

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Detailed Description

Static Analysis is a curated list of static analysis tools and linters for all programming languages, config files, build tools, and related technologies, organized to help developers discover tools that improve code quality.

The repository addresses the problem of finding appropriate static analysis tools across the vast landscape of programming languages and development contexts. Rather than building a tool itself, it serves as a comprehensive directory that catalogs existing linters, formatters, and static analyzers. The approach is to organize tools by programming language and category, making it possible for developers to locate relevant analysis tools for their specific technology stack. The project maintains an accompanying website that layers additional value on top of the curated list through rankings, user comments, and supplementary resources like videos for each tool.

Developers should use this repository when evaluating which static analysis tools to integrate into their projects. It suits teams working across multiple languages who need a single reference point rather than searching for tools individually. The list is particularly valuable for projects where code quality is a priority, as it focuses specifically on tools designed to improve code standards. The repository includes metadata about each tool, such as whether it is open source or proprietary, whether the community recommends it for new projects, and whether it remains actively maintained.

The project maintains a structured data format where tool information is stored in dedicated files rather than edited directly in the main list, ensuring consistency and scalability. Community contributions are actively welcomed through pull requests, indicating an open approach to expanding and maintaining the catalog. The repository includes clear documentation about the meaning of symbols used to denote tool properties, making it straightforward for users to understand the status and characteristics of each listed tool.