Awesome GitHub RepositoriesCustom Code Generators

TypeSpec is a language for defining cloud API shapes and generating OpenAPI, JSON Schema, and client/server code from a single source of truth. It functions as a protocol-agnostic API designer that models REST, gRPC, and other API protocols using a unified, extensible syntax, with a decorator-based metadata system for attaching metadata, validation rules, and lifecycle visibility to API models and operations. The compiler produces OpenAPI 3.0 specifications and other artifacts, and the tool supports declaring API versions and tracking changes to models, properties, and operations across releas

Querydsl is a framework for the construction of type-safe queries. It uses a fluent API and annotation-based code generation to create mirror classes from domain models, enabling compile-time validation of database queries and removing the need for manual string concatenation. The project provides a unified query syntax that translates into specific dialects for multiple backends, including SQL, MongoDB, Lucene, and JDO. It supports advanced query capabilities such as common table expressions, window functions, geospatial operations, and complex nested subqueries. Beyond data retrieval, the

This project is a code scaffolding tool and database-to-code mapper for Laravel. It functions as a CRUD generator and REST API generator that automates the creation of models, controllers, and administrative interfaces based on database schemas. The tool is distinguished by its template-driven approach, using customizable stub files that allow developers to override default blueprints to enforce specific architectural standards. It provides complete administrative dashboard boilerplates, including integrated authentication, themed UI layouts, and searchable data tables. The system covers a b

Jet is a schema-driven code generation tool and type-safe SQL builder for Go. It introspects database schemas to automatically generate builders and data models, enabling compile-time type checking for table and column references to prevent runtime errors. The project distinguishes itself through a fluent interface that mirrors native SQL syntax, allowing for the orchestration of complex queries including common table expressions, recursive queries, and nested JSON structures. It further optimizes data retrieval by binding query outputs directly into generated Go structures or raw byte slices