PHPStan based SQL static analysis and type inference for the database access layer
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Updated
Oct 14, 2026 - PHP
PHPStan based SQL static analysis and type inference for the database access layer
PostgreSQL schema intelligence MCP server with offline linting, migration safety, query validation for AI coding assistants.
@neo4j schema and query validation
Go data Validating http.Request automatically collects data based on the request Content-Type
✅ Validate your MongoDB queries before executing them
Strict pagination validation for ActiveRecord, prevents unsafe JOINs that cause inconsistent pagination results
SQL that learns. AI that validates. Privacy that protects.Data analysis co-pilot
A new package enables AI systems to securely interact with MySQL databases by translating natural language queries into structured SQL commands. It processes user text input to generate safe, validate
AI-powered data analyst built with Python, OpenAI, and SQLite that converts natural-language questions into SQL, analyzes results, and presents business insights with visualizations.
Precursor MVP for the Ontology Dashboard — proving natural-language questions can trace root causes through a manufacturing knowledge graph.
An AI-powered SQL analytics assistant that converts English and Hinglish business questions into validated SQL queries, asks clarifying questions for ambiguous requests, and delivers business insights using Python, Streamlit, and SQLite.
Rust core engine for multi-backend data access: GQL parsing, permissions, computed columns, command planning and SQL dialect translation, exposed to Node.js (napi-rs) and Python (PyO3).
The purpose of this module is to enable configurable query parameter validation from HTTP request events, such as API Gateway Events or Express Routes.
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