6 dépôts
Tools that analyze source code and annotations to produce external data validation schemas.
Distinct from Schema-Driven Code Generators: Candidates focus on generating code from schemas; this is the inverse process of generating schemas from code.
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Jackson is a Java data binding framework and multi-format data serializer used to translate data structures into native language objects. It functions as a JSON data binding library and a streaming parser that reads and writes data as discrete tokens to process large datasets with minimal memory. The project distinguishes itself through a bytecode serialization accelerator that replaces standard reflection with generated bytecode to increase data binding speed. It employs a module-based extensibility model to support a wide range of formats beyond JSON, including XML, YAML, CSV, TOML, and bin
Produces external JSON or Avro schema definitions by analyzing internal Java class structures and markers.
Kotlin SQL Framework
Generates and executes DDL statements from Kotlin table definitions to keep schemas in sync.
FastStream is an asynchronous Python framework designed for building event-driven microservices. It provides a unified abstraction layer for interacting with various message brokers, enabling developers to manage event production and consumption through a consistent interface while maintaining access to native provider-specific features. The framework centers on a decorator-based routing model that binds application logic directly to broker topics, supported by a built-in dependency injection container that resolves resources at runtime. The framework distinguishes itself through its deep int
Automatically generates interactive AsyncAPI documentation and schemas from application code and handler definitions.
FastStream is an asyncio message broker framework for building event-driven applications in Python. It provides a unified interface and a multi-broker messaging abstraction layer that translates generic producer and consumer calls into broker-specific APIs. The framework features a built-in dependency injection container and uses decorators to route messages to asynchronous handler functions. It includes a documentation generator that extracts channel definitions and message formats from code to produce standardized AsyncAPI specifications. The project supports integration with Kafka, Rabbit
Generates AsyncAPI documentation directly from message handler code and schema definitions.
Convex Chef is a tool that generates complete full-stack web applications from a single natural language prompt, automatically creating the database, authentication, file uploads, real-time user interface, and background workflows. It also serves as a backend orchestrator for the Convex platform, automating project creation, configuration, and deployment through API tokens. The project provides an OAuth 2.0 authorization gateway that enables cross-account access, allowing users to grant permission for managing their own Convex teams and projects. It supports prompt-to-schema compilation, wher
Compiles natural language prompts into database schemas, server logic, and UI code.
utoipa is a Rust API documentation tool used to generate machine-readable OpenAPI specifications. It functions as a specification generator and schema mapper that converts Rust structs and enums into compliant OpenAPI schemas. The project distinguishes itself by using procedural macros and traits to automate metadata extraction from code. It supports complex data modeling, including generics, polymorphism, and recursive type resolution, while synchronizing field renaming and tagging from serialization attributes. It also enables the composition of modular specifications, allowing multiple sma
Analyzes Rust source code and attributes to generate external OpenAPI data validation schemas.