SQL Atlas lets developers run identical SQL checks in browser, CLI, and GitHub Actions

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A developer has built SQL Atlas, an open-source static SQL analyzer designed to deliver consistent analysis results across three environments: a browser interface, a command-line tool, and a GitHub Action for pull request reviews. The tool supports six SQL dialects including PostgreSQL, MySQL, and SQLite, and outputs findings in text, JSON, or Markdown formats with stable exit codes to distinguish policy failures from invalid inputs. In CI pipelines, the GitHub Action converts analysis findings into file annotations and job summaries, with configurable thresholds for severity and scoring. SQL Atlas intentionally avoids database connections, meaning it cannot assess runtime performance factors like index usage or query plans, and recommends EXPLAIN analysis for deeper investigation. Version 0.5.1 is available on npm with no runtime dependencies, and a live demo is hosted on GitHub Pages.

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