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jarulraj/sqlcheck

Automatically identify anti-patterns in SQL queries observed · 2026-08-28

github.com/jarulraj/sqlcheck · C++ · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

23/100

  • Activity 0
  • Release rhythm 8
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3440
  • days_rel: n/a
  • days_push: 924
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2521 stars · 122 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

SQLCheck is a command-line tool that automatically detects common SQL anti-patterns in queries and schema definitions. It supports all major SQL dialects including PostgreSQL, MySQL, SQLite, SQL Server, and Oracle, and helps improve query performance by flagging problematic patterns.

Use cases

  • detect anti-patterns in sql queries
  • lint sql files for performance issues
  • review database schema design for anti-patterns
  • find select * and other bad query habits
  • check sql queries across multiple dialects
  • improve slow sql queries by finding anti-patterns

When to choose

  • you want automated static analysis of SQL queries or DDL for known anti-patterns
  • you work across multiple SQL dialects and want one tool
  • you want a lightweight CLI to integrate into code review or CI

When to avoid

  • you need a full SQL query optimizer or runtime performance profiler
  • you need syntax validation or execution of SQL
  • you need an IDE-integrated linter with autofix capabilities

Facets

cli-tool · maturity maintenance

linter developer-tools database databases developer-tools performance cli windows cross-platform sql-anti-patterns static-analysis sql-linter query-optimization database-design linux macos

1 source

Member repositories

RepositoryRoleHealth v2
jarulraj/sqlcheckmain23

For agents

markdown · JSON · MCP: product_card(name="jarulraj/sqlcheck")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem