Awesome GitHub RepositoriesSQL Schema Validators

sqlc is a code generation tool that compiles raw SQL queries into type-safe application code. By analyzing SQL statements against database schema definitions during the build process, it eliminates the need for manual data mapping and prevents runtime type errors. The project functions as a schema-aware generator that translates database column types into native language primitives. It distinguishes itself through a modular, plugin-based architecture that allows for the extension of the generation pipeline to support diverse programming languages and custom frameworks beyond its default capab

This toolkit provides an asynchronous interface for interacting with relational databases, offering a unified driver-agnostic layer for managing connection pools and executing transactions. It is designed to integrate with asynchronous runtimes, enabling non-blocking database operations while maintaining secure, encrypted communication between the application and the database server. The project distinguishes itself through its compile-time validation capabilities, which use procedural macros to inspect SQL syntax and parameter types against a live database schema during the build process. Th

Bytebase is a database DevSecOps platform and management console designed to orchestrate schema migrations, deployments, and security audits across multiple database engines. It serves as a SQL GitOps tool that synchronizes database states with configurations stored in Git repositories to manage infrastructure as code. The platform distinguishes itself through a multi-database management console that provides a single interface for relational and NoSQL databases. It includes a security layer for role-based access control, database activity auditing, and column-level data masking to protect se

SQLDelight is a Kotlin database library that validates SQL schema, statements, and migrations at compile time, generating type-safe Kotlin query functions from labeled SQL files. It treats SQL as the source of truth for database definitions, catching schema errors during the build process before they reach production. The library supports multiple database dialects including SQLite, MySQL, PostgreSQL, HSQL, and H2, and generates platform-specific code for Android, iOS, JVM, and JavaScript targets. It provides a platform-specific driver abstraction that handles database connectivity difference

This project is a Language Server Protocol implementation for PostgreSQL that provides autocompletion, syntax diagnostics, and type checking for SQL and PL/pgSQL. It functions as a database schema validator and a static analysis engine designed to detect security vulnerabilities, performance bottlenecks, and dangerous migration patterns in database scripts. The server differentiates itself by using live database connections to provide schema-aware intelligence, allowing it to verify that tables, columns, and data types actually exist. It performs static analysis on procedural functions to det

Slonik est un client PostgreSQL avec typage sécurisé pour Node.js qui utilise des littéraux de template tagués pour garantir que les paramètres sont liés et protégés contre les attaques par injection. Il fournit un framework pour connecter des applications à PostgreSQL avec une vérification de type automatique pour les requêtes et les schémas de base de données. Le projet se distingue par un linter de requêtes SQL spécialisé qui détecte les colonnes invalides et les incompatibilités de type en vérifiant le code par rapport à un schéma de base de données en direct pendant le processus de développement. Il inclut également un inserteur de données en masse binaire haute performance pour charger de grands jeux de données en utilisant la sérialisation binaire native et un gestionnaire de pool de connexions capable de routage de requête dynamique entre les nœuds primaires et répliques. La bibliothèque couvre un large ensemble de capacités de base de données, y compris la gestion des transactions atomiques, la construction de requêtes SQL dynamiques et le traitement de grands jeux de résultats via le streaming async-iterable. Elle fournit en outre des intercepteurs de middleware pour la journalisation et le benchmarking, l'analyse de type personnalisée et des mécanismes de callback asynchrones pour rafraîchir les identifiants d'authentification de base de données.